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BREAD-IGC virtual PhD-level course 2026 | Lecture 7 Political Selection and Representation — Transcript

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  1. 1:28Well, hello. Welcome everyone back to
  2. 1:31the bread lecture series. We're excited
  3. 1:33this week to have our seventh lecture on
  4. 1:36political selection, voice, inclusion,
  5. 1:40and
  6. 1:42joining us this week are Rohini Pande,
  7. 1:44professor of economics and director of
  8. 1:46the Economic Growth Center at Yale,
  9. 1:49and Katherine Casey, professor of
  10. 1:51political economy at Stanford
  11. 1:53University.
  12. 1:54I believe both of of you have been bread
  13. 1:58lecturers before and both have had
  14. 2:01interaction with IGC for a number of
  15. 2:03years and so we're really grateful for
  16. 2:05your your time especially being based in
  17. 2:08the US and waking up
  18. 2:10quite a bit earlier than your normal
  19. 2:12working hours today
  20. 2:14and share some thoughts with all of us
  21. 2:16on political selection.
  22. 2:19Um just briefly
  23. 2:21everyone's probably heard me say this a
  24. 2:23dozen times but
  25. 2:24uh if you have questions please put them
  26. 2:27into the Q&A box and if we could try to
  27. 2:29keep these very
  28. 2:31related to to the content that would be
  29. 2:33great.
  30. 2:35The second thing is
  31. 2:37if you're interested in being a live
  32. 2:38panelist please raise your hand and I'll
  33. 2:40randomly select
  34. 2:42about 15 of you and then you'll have the
  35. 2:45option to ask your questions live at the
  36. 2:47end.
  37. 2:48And
  38. 2:50the last thing is that if you've missed
  39. 2:52recent lectures
  40. 2:54you're welcome to
  41. 2:56look at our website and all the
  42. 2:58recordings the slides and the reading
  43. 3:01lists are all there. So
  44. 3:04I'll put that link in the chat as well.
  45. 3:07If there's nothing else then I will hand
  46. 3:09over to Kate who's going to kick us off.
  47. 3:14>> Great thanks so much and hello everybody
  48. 3:16you're very welcome. We're excited to
  49. 3:18talk to you today about political
  50. 3:20selection.
  51. 3:22So let me start by saying that this idea
  52. 3:25that how we select our political leaders
  53. 3:27is important is not a new one. So James
  54. 3:30Madison was writing about this almost
  55. 3:31250 years ago and he argued that the
  56. 3:34primary objective of any political
  57. 3:35constitution should be some sort of
  58. 3:37system of leadership selection so you
  59. 3:39yield rulers with the wisdom to pursue
  60. 3:42the common good.
  61. 3:44Now fast forward to 20 years ago and Tim
  62. 3:47Besley who you heard from earlier said
  63. 3:50you know depi- despite this importance
  64. 3:52until only recently the modern political
  65. 3:54economy literature has not only
  66. 3:56neglected the problem of political
  67. 3:57selection, and it's been positively
  68. 3:59hostile to the topic. Now, if I had
  69. 4:01Tim's posh English accent, that would
  70. 4:03sound even even more uh persuasive. Um
  71. 4:07but fortunately, the last 20 years of
  72. 4:09research has made quite a lot of
  73. 4:11progress in correcting that neglect, and
  74. 4:13that's what Rohini and I are here to
  75. 4:15talk with you about. So, let's just
  76. 4:18ground this in in big picture. Why are
  77. 4:20we talking political selection when in
  78. 4:23four, you know, basically a class on
  79. 4:25economic development? And the key idea
  80. 4:28is that, you know, governments have
  81. 4:30these core functions that undergird
  82. 4:32market activity. So, they provide local
  83. 4:34public goods, they, you know, define and
  84. 4:37protect property rights, correct
  85. 4:38externalities. And the key idea is that
  86. 4:40the government's ability to do these
  87. 4:42things well depends in part on the
  88. 4:45political leadership. So, what is the
  89. 4:46human talent in governments, and what
  90. 4:48are the rules that govern their
  91. 4:49behavior?
  92. 4:50So, just putting that same idea on a
  93. 4:53graph, what we have here is kind of
  94. 4:55mapping state capacity, political
  95. 4:57institutions, and economic growth. So,
  96. 4:59if you look at the horizontal axis, this
  97. 5:01has data from the World Bank, government
  98. 5:04effectiveness. Think about this as as
  99. 5:05state capacity. So, you heard about
  100. 5:07Adnan and Asim, their lecture talked a
  101. 5:09lot about that. The horizontal axis is
  102. 5:12what Rohini and I are here to talk
  103. 5:13about. So, voice and accountability,
  104. 5:14think about this as more broadly
  105. 5:17institutions of politics.
  106. 5:20And then, the dots are countries
  107. 5:23proportional to their population size,
  108. 5:25and the shading of the dots is is about
  109. 5:28income. So, so darker dots, higher
  110. 5:29income.
  111. 5:30So, what's the big picture? Well, you
  112. 5:32can see these country dots cluster along
  113. 5:35the 45-degree line. So, what does that
  114. 5:37mean? So, that means to some extent
  115. 5:39state capacity and political
  116. 5:40institutions move together, and they
  117. 5:43both are positively correlated with
  118. 5:46economic prosperity. Okay? That's the
  119. 5:48kind of idea that, you know, governments
  120. 5:49matter for economic performance.
  121. 5:52But, second thing you'll notice is that
  122. 5:54there there's a bunch of countries that
  123. 5:56are on these kind of off-diagonal
  124. 5:58quadrants, about a quarter of them,
  125. 6:00right? And that suggests that what you
  126. 6:02learn from Asim and Adnan about state
  127. 6:04capacity is related, but is somewhat
  128. 6:06different. It's not the same phenomenon
  129. 6:07as what we're going to be talking about
  130. 6:09when we talk about political
  131. 6:10institutions and political selection in
  132. 6:12particular.
  133. 6:13And then, the third thing to think about
  134. 6:15is if you look at that lower left-hand
  135. 6:17corner, that's just a really challenging
  136. 6:20set of countries, right? They're very
  137. 6:21low income, they have weak weak state
  138. 6:24capacity, and weak political
  139. 6:25institutions. So, when you're thinking
  140. 6:27about how will those lower-income
  141. 6:28countries make progress, you know,
  142. 6:30diagonal progress toward higher income,
  143. 6:33one part of that strategy might be to
  144. 6:35improve political institutions and
  145. 6:36political selection as one part of that.
  146. 6:40But, what's the problem? Well, you may
  147. 6:42have heard a lot of, you know, popular
  148. 6:43discussion about democratic backsliding.
  149. 6:47Right? So, how are these measures doing
  150. 6:49in the recent past? What is the trend
  151. 6:51that they're on?
  152. 6:52Well, you can see the these pretty
  153. 6:54precipitous downward-sloping lines.
  154. 6:56These are electoral democracy index.
  155. 6:58That orange one is for the OECD. So,
  156. 7:00this is democratic backsliding even
  157. 7:02within the wealthiest countries. The
  158. 7:04very steep pink line is the democracy
  159. 7:07index in non-OECD countries. So, think
  160. 7:09about that as low- and middle-income
  161. 7:10countries. So, what we're seeing is a
  162. 7:12sectoral downward trend in the strength
  163. 7:14of democratic institutions, particularly
  164. 7:16for low-income countries. You know,
  165. 7:18accompanied by a little bit of a decline
  166. 7:19in state capacity as well, but it's this
  167. 7:21pink line that that people are worried
  168. 7:24about. And people have noticed, right?
  169. 7:26People are mad. So, here's just a bunch
  170. 7:28of survey data from around the world
  171. 7:31showing that people are upset with their
  172. 7:33own politicians and the institutions of
  173. 7:36representative democracy. So, here's
  174. 7:38some data on the US that only 16% of
  175. 7:41survey respondents trust the federal
  176. 7:42government and a third identify
  177. 7:44politicians politicians themselves as
  178. 7:47the biggest problem with the political
  179. 7:48system, right? So, we're really going to
  180. 7:49focus on that.
  181. 7:51Uh across the OECD, across you know,
  182. 7:53Europe and other wealthy countries,
  183. 7:55those who have trust in government are
  184. 7:57fewer than those who lack trust by about
  185. 7:595% points. And then across 30 different
  186. 8:02African nations, there's still a lot of
  187. 8:05support for democracy. So, 75% believe
  188. 8:07elections are the best way to choose
  189. 8:08leaders, but only 37% are satisfied with
  190. 8:12how their own democracy is working.
  191. 8:15So, the challenge is if politicians are
  192. 8:17big part of the problem, how can we get
  193. 8:19better people into government, right?
  194. 8:22Into elected office, into public
  195. 8:23service.
  196. 8:24So, solving that problem involves
  197. 8:26improving political selection. And to do
  198. 8:29so, roughly runs over three stages. We
  199. 8:32have to think about who enters politics,
  200. 8:34who puts themselves forward to be
  201. 8:35willing uh to serve,
  202. 8:38who gets picked up by parties. It's
  203. 8:40really hard to win elections and as an
  204. 8:42independent in most electoral democracy,
  205. 8:44and then who wins. So, you see already
  206. 8:47these three stages we're talking about,
  207. 8:48you got to think about who are potential
  208. 8:50candidates,
  209. 8:51who are the gatekeepers, right? You can
  210. 8:53think about party leaders naturally as
  211. 8:54gatekeepers, and and what do voters want
  212. 8:57when you think about who wins the
  213. 8:58election. So, so we'll think about those
  214. 9:00three stages and those three sets of
  215. 9:02actors.
  216. 9:04Okay, let's ground ourselves in theory.
  217. 9:07So, we have classic models um that show
  218. 9:11how elections can serve as a pure
  219. 9:14accountability device.
  220. 9:16They can serve as a pure political
  221. 9:19selection device,
  222. 9:20or they can serve a combination of both.
  223. 9:23And I'm going to quote Jim Fearon here.
  224. 9:26And so, we're thinking about if you
  225. 9:28think about the accountability part,
  226. 9:29this is what Fred and Claudio were
  227. 9:31talking about. So, accountability is an
  228. 9:33agency relationship where the principal,
  229. 9:36that's us, the public, is empowered by
  230. 9:38some formal institutional or perhaps
  231. 9:40informal rules to think sanction or
  232. 9:42reward the agent, which is the political
  233. 9:44leader. And that agent is obliged to
  234. 9:47take actions on the public's behalf,
  235. 9:48right? So, this is what Fred and Claudio
  236. 9:50were talking about. It's really about
  237. 9:52incentives, right? We can think about
  238. 9:54there's lots of different types of
  239. 9:55politicians, good types, bad types. What
  240. 9:57we want is to design a system of
  241. 9:59incentives incentives so all those types
  242. 10:01are actually going to behave in to
  243. 10:03forward our the public's interest.
  244. 10:06Okay, putting accountability aside,
  245. 10:07what's the pure selection part? Again,
  246. 10:09quoting Jim, "Selection is about
  247. 10:11choosing the type of leader who will act
  248. 10:13competently and faithfully in the public
  249. 10:15interest." Right? So, you're thinking
  250. 10:17about this matters if you know different
  251. 10:19types of people are are are better or
  252. 10:20worse at governing. And in the extreme,
  253. 10:23if you can get the selection part right
  254. 10:25and you can get really the best possible
  255. 10:26leader, you don't even have to worry
  256. 10:28about incentives so much cuz that person
  257. 10:30is going to intrinsically behave in a
  258. 10:32line with the public interest.
  259. 10:34And then we can put these things
  260. 10:36together, but a second class of these
  261. 10:39models that's related is these citizen
  262. 10:41candidate models and these have kind of
  263. 10:43limited commitment. So, whatever that
  264. 10:45person says or their identity is going
  265. 10:47to
  266. 10:48guide them to do, once they get in
  267. 10:50office, they're going to deliver their
  268. 10:52own most preferred policies.
  269. 10:54So, this brings in the idea of group
  270. 10:56identity. So, think about think about
  271. 10:58gender, think about ethnicity, think
  272. 11:00about religion. And this is going to
  273. 11:02matter. Selection on group identity is
  274. 11:04going to matter if public preferences
  275. 11:06over policies vary by group or leaders
  276. 11:10are more responsive to members of their
  277. 11:12own group. So, so when you think about
  278. 11:13the citizen candidate, you can model
  279. 11:16this as selection on quality. People
  280. 11:18often call this valence. Think about
  281. 11:20competence, integrity, virtue, uh
  282. 11:23motivation, but you can also think about
  283. 11:25this as selecting on a group type, a
  284. 11:27prominent type that organizes political
  285. 11:30and economic life. So, for my half of
  286. 11:32the talk, we're going to talk about that
  287. 11:33first kind of selection, selection on
  288. 11:35quality, and then Rohini's going to talk
  289. 11:37about selection on group identity. And
  290. 11:40in our halves, we're we're both going to
  291. 11:41show you why selection on either
  292. 11:43dimension's going to matter for economic
  293. 11:45outcomes and public policy. We're going
  294. 11:47to show how gatekeepers and voters
  295. 11:51affects who can like come up through
  296. 11:53these systems when we're thinking about
  297. 11:54quality and group. And then we'll each
  298. 11:57focus on one specific set of policies
  299. 12:00that we see in the real world that many
  300. 12:02countries have experimented with.
  301. 12:04Okay.
  302. 12:04So, here we go.
  303. 12:06One thing I want we want as like a big
  304. 12:08picture is to think about causal
  305. 12:10inference, right? So, how do you know X
  306. 12:13causes Y and it's not Z causing Y or Y
  307. 12:16causing X, right? And so, why is this
  308. 12:18difficult when we talk about selection?
  309. 12:20It's difficult because voters have
  310. 12:22preferences over both valence and
  311. 12:24identity. And both of these dimensions
  312. 12:27can contribute to public policy and
  313. 12:29economic performance. So, let's let's
  314. 12:31just think about uh couple examples. So,
  315. 12:34let's think about gender. So, in a world
  316. 12:37with bias, these things are going to get
  317. 12:38very muddied. Causal inference about
  318. 12:40selection over group versus identity is
  319. 12:42going to matter. So, think about voters.
  320. 12:44Maybe voters start
  321. 12:46with a belief, let's say correct or not,
  322. 12:49that, you know, men are a little bit
  323. 12:50better as political leaders than women,
  324. 12:53right? What are voters going to do? On
  325. 12:54average, they're going to be electing
  326. 12:56more men. They're going to observe men
  327. 12:58in leadership. They're going to learn a
  328. 12:59lot about men and and how they lead. And
  329. 13:02the longer this goes on, they're not
  330. 13:04learning about women. Women start to
  331. 13:06seem like a very risky choice cuz they
  332. 13:07don't have good information. And a
  333. 13:09little bit of bias can perpetuate until
  334. 13:11you find yourself in a system where you
  335. 13:13only have male leaders and you're not
  336. 13:15sure, well, are women worse? Are voters
  337. 13:16biased? Right? Do Does competence vary
  338. 13:19across gender? So, this is going to make
  339. 13:21just if you look at a country in a
  340. 13:23snapshot, it's going to be difficult to
  341. 13:24draw causal inferences about how we got
  342. 13:27here. So, think about some stylized
  343. 13:29facts from US politics. So, again,
  344. 13:31keeping the gender theme,
  345. 13:33so it's true, women hold a minority of
  346. 13:36political seats. So, think about the US
  347. 13:38House of Representatives or the Senate.
  348. 13:40But, there's this fact that conditional
  349. 13:42running, women win as frequently as men.
  350. 13:45And if you look at their performance in
  351. 13:47office, women actually perform better.
  352. 13:49So, how do we make sense of that
  353. 13:51constellation of facts? Well,
  354. 13:54uh a decade or two ago, there's a whole
  355. 13:55lot of literature that was saying, "Ah,
  356. 13:58fantastic. Bias is a thing of the past.
  357. 13:59We don't need to worry about this
  358. 14:01anymore."
  359. 14:02But,
  360. 14:02then a bunch of influential people
  361. 14:04started to come through and say, "Well,
  362. 14:05actually,
  363. 14:07I think you do." Right? So, so think
  364. 14:08about this this Anzia Berry paper looks
  365. 14:11at that performance in the US House and
  366. 14:13they say, "If voters are biased against
  367. 14:15women or parties are biased against
  368. 14:17women candidates,
  369. 14:18only the best possible woman on
  370. 14:20competence
  371. 14:22can win. Right? Cuz you have to be
  372. 14:23better than the male group identity to
  373. 14:26win. And knowing this, only the best
  374. 14:28possible women are going to run in the
  375. 14:30first place. So, they're going to get
  376. 14:32elected and on average, once they're in,
  377. 14:35they're going to be higher quality than
  378. 14:37men. Right? So, so that's kind of a
  379. 14:40shows you how parsing the selection on
  380. 14:42identity versus valence can be difficult
  381. 14:44to parse.
  382. 14:46So, what we want is these unconditional
  383. 14:48probabilities. We want the whole chain.
  384. 14:49Who enters? How successful are they in
  385. 14:52getting through gatekeepers? And how
  386. 14:54appealing they are to voters in getting
  387. 14:56election.
  388. 14:57The last thing I'll say about causal
  389. 14:58inference is when we go back to parsing
  390. 15:01what Fred and Claudia were talking about
  391. 15:03incentives from what Rohini and I are
  392. 15:05talking about selection, that's also
  393. 15:06tricky because these things can run in
  394. 15:08parallel at the same time. So, think
  395. 15:11about, okay, if I want to improve
  396. 15:13political selection, maybe I should
  397. 15:15offer politicians higher wages, right?
  398. 15:17Cuz higher competence people have better
  399. 15:19outside options, so let me increase
  400. 15:20their pay.
  401. 15:21So, there are studies that show, and
  402. 15:23we'll get to them in a second, yes, that
  403. 15:24works. That strengthens selection on
  404. 15:27quality and competence cuz you get
  405. 15:29better people in.
  406. 15:30But now once I'm in office, think about,
  407. 15:32okay, but now because the wage in the
  408. 15:34next period is also higher, I now have
  409. 15:37stronger incentives to stay in office
  410. 15:39and to get reelected. And so, I'm going
  411. 15:41to exert more effort, right? So, so
  412. 15:43that's the accountability channel,
  413. 15:44right? So, the same exact policy change,
  414. 15:47I'm changing the wages, is going to up
  415. 15:49activate both the selection channel and
  416. 15:51the accountability channel. So, it's
  417. 15:53just, you know, I mean, it's interesting
  418. 15:54to think about, but it's also when
  419. 15:55you're designing, particularly empirical
  420. 15:57studies, you got to be carefully set
  421. 15:59them up so that you can parse what's
  422. 16:01going on clearly.
  423. 16:02Okay.
  424. 16:04So, we have this
  425. 16:06recent Nobel laureate agenda that making
  426. 16:09the point that inclusive political and
  427. 16:10economic institutions matter for
  428. 16:12long-run growth. This was coming out of
  429. 16:14a time when there was a lot of kind of
  430. 16:17macroeconomic debates about these very
  431. 16:19long-run deep determinants of economic
  432. 16:21growth. So, institutions often proxied
  433. 16:24by long-term colonial engagements and
  434. 16:26and kind of the long arc of of
  435. 16:28consequences.
  436. 16:30Also looking at things like geography,
  437. 16:32like do you have bad access to trade
  438. 16:34routes, do you have a bad disease
  439. 16:36environment, are you landlocked?
  440. 16:38And they're trying to see, you know, how
  441. 16:39do these really kind of deep
  442. 16:40determinants shape growth?
  443. 16:42And then some studies came along and
  444. 16:44said, all of that is clearly important,
  445. 16:46but does the identity of an individual
  446. 16:48leader, like what can one person make a
  447. 16:50difference for economic outcomes? So,
  448. 16:52this Jones and Olken paper came along,
  449. 16:54which had a very clever identification
  450. 16:56strategy, cuz of course, who's in office
  451. 16:58and how long they're in office is all
  452. 17:00incredibly endogenous to their
  453. 17:01performance. And they said, well, what
  454. 17:03if we look at people that exit
  455. 17:05unexpectedly? So, people that die during
  456. 17:08their elected term, right? And we're
  457. 17:10just going to compare GDP growth in the
  458. 17:12period right before and right after
  459. 17:14their passage and see, do we see an an
  460. 17:17abrupt change in GDP growth? And the
  461. 17:19answer is yes, they do and it's pretty
  462. 17:21sizable. So, if you think like a one
  463. 17:23standard deviation unit change in leader
  464. 17:25quality is going to be linked to this
  465. 17:271.5% point change in GDP growth per
  466. 17:30year, right? So, even an individual lot
  467. 17:32leader can have a substantial impact on
  468. 17:36performance of the overall economy. So,
  469. 17:38their study they find that this result
  470. 17:39really only holds in autocracies, which
  471. 17:41kind of comes back to the broader
  472. 17:42institutional point that autocratic
  473. 17:45leaders are not particularly guarded by
  474. 17:47checks and balances from other branches,
  475. 17:48so they can have a lot of latitude to
  476. 17:50make decisions that could have, you
  477. 17:52know, far-reaching consequences.
  478. 17:54Another study came along and took this
  479. 17:56time series way back, so they had even
  480. 17:58more leaders and they replicate, you
  481. 18:00know, the same basic relationship
  482. 18:02between leadership changes and growth,
  483. 18:04but they hone in on a specific
  484. 18:06characteristic that relates to
  485. 18:07selectional competence, so education.
  486. 18:10And they show that when you have a very
  487. 18:11highly educated leader who exits, you
  488. 18:14have a much steeper drop in GDP growth
  489. 18:17in the period immediately after,
  490. 18:19suggesting that there is returns to
  491. 18:21competence being a good leader in
  492. 18:23managing the macroeconomy.
  493. 18:25Okay, so leaders are important for big
  494. 18:27economic indicators, but they're also
  495. 18:29important for more localized measures of
  496. 18:32how well is a government working, right?
  497. 18:34So, think about Martinez Bravo, she has
  498. 18:36this nice paper looking at Indonesia.
  499. 18:39And so, they had a massive school
  500. 18:40expansion, which really raised
  501. 18:42everybody's education and she looked at
  502. 18:44these first elections when these newly
  503. 18:46educated people have gotten old enough
  504. 18:49to qualify to run for public office and
  505. 18:52she sees that then you elect better
  506. 18:53educated village heads and they provide
  507. 18:56more public goods, right? So, think
  508. 18:57about health clinics, water taps, right?
  509. 18:59So, they're they're delivering public
  510. 19:01services better.
  511. 19:02Uh
  512. 19:03Rohini has a paper
  513. 19:05that's looking at, you know, do local
  514. 19:07politicians in India, she shows that
  515. 19:09better educated individuals, they're
  516. 19:11less opportunistic in the way that they
  517. 19:13target poverty cards, right? So, less
  518. 19:14for themselves and and more for their
  519. 19:16deserving.
  520. 19:18And so, all of this is like as if they
  521. 19:20Leaders matter for macroeconomy, they
  522. 19:22matter for public goods, they matter for
  523. 19:23targeting.
  524. 19:25How do you get better people into
  525. 19:26office? And this comes back to what we
  526. 19:28were talking about earlier is this if
  527. 19:29you think about like an efficiency wages
  528. 19:31argument, well, if you want better
  529. 19:33people in public office, you should pay
  530. 19:35them more, right? And and this is like
  531. 19:38they have higher opportunity costs, they
  532. 19:40can make a lot of money in the private
  533. 19:41sector. So, if you want really competent
  534. 19:42people in the public sector, you need to
  535. 19:44pay them more. So, what do we know about
  536. 19:46this? Well, that seems to be true. So,
  537. 19:48this is a study from Italy that's
  538. 19:50leveraging, you know, mayors have these
  539. 19:53like population thresholds for their
  540. 19:55town where you just click over to like
  541. 19:565,000 people, you get paid like 30%
  542. 19:59more. So, they look at people on either
  543. 20:01side of that threshold and they say,
  544. 20:02"Yes, higher wages for mayor does
  545. 20:05attract more educated candidates and
  546. 20:07they kind of improve the way they manage
  547. 20:09the government budgets, right? A similar
  548. 20:12study shows uh
  549. 20:13>> [snorts]
  550. 20:13>> the same result in similar strategy in
  551. 20:15Brazil where you're going over these
  552. 20:16thresholds and that higher pay it
  553. 20:18attracts more candidates, you have more
  554. 20:19competition, you get better educated one
  555. 20:22and then if you look at how productive
  556. 20:23they are in their legislative work, they
  557. 20:25they seem to be doing better. I would
  558. 20:27say that that Italy paper comes back to
  559. 20:29this idea that there's selection and
  560. 20:31accountability cuz remember the wage at
  561. 20:32the next period also is going to
  562. 20:34incentivize me to work harder. And they
  563. 20:36can they can parse it and sort of say,
  564. 20:38"Yes, that is also what worked, but the
  565. 20:40big bulk of these results are due to the
  566. 20:42selection channel in that particular
  567. 20:44context."
  568. 20:47Okay, so then
  569. 20:49is there any downside to kind of
  570. 20:51aggressively pursuing selection on
  571. 20:53competence? So, some people worry that
  572. 20:56if you prioritize competence too much,
  573. 20:59you might be crowding out people that
  574. 21:00are intrinsically motivated to serve,
  575. 21:04right? So, this is called like social
  576. 21:05preferences. Basically, you have leaders
  577. 21:07that that put the utility of citizens or
  578. 21:09the recipients of public services into
  579. 21:11their own utility function. And the idea
  580. 21:13is that, you know, super competent
  581. 21:15people, there's like a higher
  582. 21:17productivity to their efforts, so bigger
  583. 21:19return for the same effort. But the
  584. 21:21really prosocial public service
  585. 21:22motivated guys, they will just
  586. 21:24intrinsically work harder. They will put
  587. 21:26in more effort. So So how that nets out
  588. 21:28is something that people think about. Um
  589. 21:31theoretically, it could go either way.
  590. 21:32Depends on how these things are
  591. 21:33correlated with each other. But what do
  592. 21:35we know from the data?
  593. 21:37So there's four studies I'm going to
  594. 21:39show you. I want to caveat the first
  595. 21:40three are not actually about elected
  596. 21:42politicians. So this is not quite the
  597. 21:43same thing, but they're quite
  598. 21:45informative. So these are about
  599. 21:46frontline public service workers. So
  600. 21:49this trade-off doesn't seem to be a big
  601. 21:51problem in recruiting
  602. 21:54um community development workers in
  603. 21:55Mexico. So they randomized wages and
  604. 21:57they find higher wages, you know,
  605. 21:59attract better quality applicants. They
  606. 22:01make it easier to fill really tough
  607. 22:03postings. And there's no
  608. 22:05positive, not negative, just zero impact
  609. 22:07on average on how public service
  610. 22:08oriented these people are. So maybe it
  611. 22:11doesn't matter there. Zambia also seems
  612. 22:13to not be a huge problem. They're
  613. 22:15advertising for community health
  614. 22:17workers. They were really saying, "Oh,
  615. 22:18this is great for your career and your
  616. 22:20upward mobility." It does bring in
  617. 22:22people with lower prosocial, you know,
  618. 22:24measures, but they're so much better,
  619. 22:27they're so much higher competence that
  620. 22:28their
  621. 22:29performance overall nets out positive.
  622. 22:32There's some a similar study in Uganda
  623. 22:34that's actually saying, "Well, actually
  624. 22:36this is more of a problem. If you're
  625. 22:37advertising higher expected pay, you're
  626. 22:39not going to get these public service
  627. 22:41people uh in and there's going to be
  628. 22:43lower effort overall." So So that says
  629. 22:45maybe there is is more of a trade-off
  630. 22:47there. Okay, this last study is is about
  631. 22:50elected politics. So this is in
  632. 22:52Pakistan.
  633. 22:53And this they show that if you
  634. 22:55advertise, these are local elected
  635. 22:57offices and say, you know, the social,
  636. 23:00the prosocial returns as opposed to your
  637. 23:02individual private incentives, they kind
  638. 23:04of do a RCT where they're comparing
  639. 23:06those two things. And they show that if
  640. 23:08you advertise the prosocial part, you're
  641. 23:10going to increase entry, those types of
  642. 23:12people are going to be more likely to
  643. 23:14get elected, and when you trace them
  644. 23:16over time, they're actually going to
  645. 23:17allocate the public budgets in ways that
  646. 23:20are more in line with local preferences.
  647. 23:22So, so that's not actually showing the
  648. 23:24the competence trade-off part, but it is
  649. 23:26showing you that public service
  650. 23:27motivation matters in in doing a good
  651. 23:30job in local government.
  652. 23:32Okay. One thing to note about that last
  653. 23:35study is those are non-partisan
  654. 23:37elections.
  655. 23:38So, in most democracies around the
  656. 23:40world, parties are playing a very active
  657. 23:43role in gatekeeping who can get kind of
  658. 23:46jumping into actually being a candidate
  659. 23:48that voters can examine.
  660. 23:50Which brings up the question, are
  661. 23:51parties good or bad for selection on
  662. 23:54quality? Right?
  663. 23:56So, there's a lot of reasons to be
  664. 23:59skeptical. So, there's a bunch of
  665. 24:01studies from a bunch of different
  666. 24:02countries that are showing that party
  667. 24:04gatekeepers limit the entry of women and
  668. 24:07minorities regardless of how qualified
  669. 24:09they are.
  670. 24:10The idea behind this is party
  671. 24:12gatekeepers tend to be elite males that
  672. 24:15tend to recruit and promote people like
  673. 24:17themselves, right? So, so that would be
  674. 24:19I'm kind of selecting on group identity
  675. 24:21at the expense of selection on quality,
  676. 24:23you know, penalizing certain groups.
  677. 24:25Um
  678. 24:26another set of studies looks at Sweden,
  679. 24:28and as you may know, Sweden has just
  680. 24:30absolutely phenomenal data on everyone
  681. 24:32including their politicians.
  682. 24:34And so, two studies are looking at this,
  683. 24:36and they don't reach opposing
  684. 24:37conclusions, but they come to slightly
  685. 24:38different conclusions about what's the
  686. 24:41role of party leaders. Uh the first one
  687. 24:43says actually party leaders, they're
  688. 24:45they're very merit-based in their
  689. 24:47approach to promotion, and so by being
  690. 24:49merit-based, they're kind of helping
  691. 24:51making Sweden an inclusive meritocracy,
  692. 24:53right? So, that kind of representation
  693. 24:54and inclusion part doesn't have to be at
  694. 24:57odds with selection on quality.
  695. 24:59The second paper is about zipper quotas
  696. 25:01and Rohini will talk more about this,
  697. 25:02but I'll just say they're saying, "Yes,
  698. 25:04that's true. There is, you know, you
  699. 25:06know, promotion based on merit, but
  700. 25:08there's also these incentives that
  701. 25:10people only want to promote on merit to
  702. 25:13the in so far as it doesn't compromise
  703. 25:15their own leadership position." So, you
  704. 25:16get like kind of mediocre males
  705. 25:18um that are are the ones that kind of
  706. 25:20resist these merit-based promotions.
  707. 25:23And that that latter point resonates
  708. 25:25with this theoretical model that's
  709. 25:26basically showing party recruitment of
  710. 25:29candidates as this like rent max
  711. 25:31maximization opportunity that leads to
  712. 25:33mediocrity, right? Not meritocracy, not
  713. 25:36the best people, not the worst people,
  714. 25:37but just kind of these meh kind of
  715. 25:39average level people.
  716. 25:41Okay. So, if we if there are at least
  717. 25:43some reasons to be skeptical of what
  718. 25:45party elites are doing, I want to I want
  719. 25:47to turn to one specific policy that
  720. 25:50different countries have experimented
  721. 25:51with, which is primaries.
  722. 25:54Right? So, if you're worried about some
  723. 25:56downsides of party gatekeeping,
  724. 25:59one thing you can do is give more power
  725. 26:01to voters in deciding amongst all these
  726. 26:04people that are interested in being the
  727. 26:05candidate, who do we want to pick to
  728. 26:07represent the party in a particular
  729. 26:09race.
  730. 26:10So, in the US, Orrano and Snyder have
  731. 26:12done a lot of work on this. This This
  732. 26:14was motivated the introduction of
  733. 26:17primaries was motivated by this
  734. 26:18skepticism of what these party elites
  735. 26:20are actually doing when they choose
  736. 26:22candidates, right? So, they think about
  737. 26:24basically there's a bunch of white dudes
  738. 26:26in a smoke-filled room and they're
  739. 26:28self-dealing and they're making trades
  740. 26:29and they're basically picking candidates
  741. 26:31with very little regard from who's
  742. 26:33really going to serve voters best. So,
  743. 26:36primaries in their words are a great
  744. 26:38reform to limit the ability of political
  745. 26:40and economic elites to manipulate and
  746. 26:42profit from the nomination process.
  747. 26:44So, these are they would be kind of the
  748. 26:45primary advocate view and they've done a
  749. 26:48bunch of work on different types of
  750. 26:50elections in the US. And they show that
  751. 26:52where you can really see primaries
  752. 26:54helping and promoting selection on
  753. 26:56quality is in safe open seats. So, what
  754. 26:58does that mean? It means a seat in a
  755. 27:00party's stronghold, so they're
  756. 27:01guaranteed to win the general election,
  757. 27:03and it's open, so there's no incumbent
  758. 27:05sitting there that might be looking for
  759. 27:07some sort of privileged action from
  760. 27:09their party.
  761. 27:11Um and, you know, other models talk
  762. 27:13about to other related things, you know,
  763. 27:15you might get higher quality candidates,
  764. 27:17but they might be more ideologically
  765. 27:18extreme cuz often times we worry that
  766. 27:21voters that turn out in the primary
  767. 27:22stage are much more extreme than voters
  768. 27:24in the general election. Um but but it
  769. 27:27kind of sets the ground that that this
  770. 27:28could be a a good
  771. 27:30a good reform for selection on quality.
  772. 27:33But there's this kind of remaining
  773. 27:35skeptical camp that says, "Okay, sure,
  774. 27:39you can give voters the choice, and you
  775. 27:41will build representation cuz you'll
  776. 27:43give them what they want, but most
  777. 27:45voters are not very informed about
  778. 27:47politics. They may not understand how
  779. 27:49government works. They may not know what
  780. 27:51are the kind of skills and competencies
  781. 27:53that enable you to perform well on
  782. 27:54government. So, if voters are really
  783. 27:57poorly informed, they'll you'll increase
  784. 27:59representation, but you'll get these
  785. 28:00really low-quality politicians in. And
  786. 28:03if you think about party leaders as the
  787. 28:05selectors instead, they definitely know
  788. 28:07how government works. They know the
  789. 28:09skills you need, and they have really
  790. 28:11good information on these politically
  791. 28:13ambitious people that want to be
  792. 28:15candidates. So, this kind of raises the
  793. 28:17question, well, if you give more say to
  794. 28:18voters, take it away from party leaders,
  795. 28:21we what's going to happen to
  796. 28:22representation, and what's going to
  797. 28:23happen to selection on quality? And
  798. 28:25coming back to these causal inference
  799. 28:27challenges,
  800. 28:28it's really hard to parse those things
  801. 28:30because, you know, political parties are
  802. 28:31incredibly strategic organizations,
  803. 28:34right? So, they don't change how they
  804. 28:35select candidates for anything but like
  805. 28:37extremely strategic and endogenous
  806. 28:39reasons, which makes parsing cause and
  807. 28:41effect of, you know, whose voice matters
  808. 28:44difficult to do.
  809. 28:46So, just in these last few minutes, I'm
  810. 28:47going to share
  811. 28:48uh
  812. 28:49a paper that I did with my co-authors in
  813. 28:51Kono and ABK in Sierra Leone that was
  814. 28:53really trying to target this specific
  815. 28:55question of like, what happens when you
  816. 28:57give voters more say in selecting
  817. 29:01candidates? And so, this is for
  818. 29:03parliamentary elections, but you can
  819. 29:04think about them like in the US context,
  820. 29:06it's basically the same institutions as
  821. 29:08like selecting people to be in the US
  822. 29:10House of Representatives. Okay. So, we
  823. 29:13evaluated a field experiment that did
  824. 29:17two things. So, first of all, in the
  825. 29:18status quo, what happens? Party leaders
  826. 29:21just select candidates.
  827. 29:23Comes to the general election, voters
  828. 29:25pick between the parties. Why why we
  829. 29:27think this is problematic? Well, Sierra
  830. 29:29Leone, like the US, has a lot of
  831. 29:31geographic sorting with respect to party
  832. 29:33preferences. So, there's like deep
  833. 29:35strongholds in the north of one party,
  834. 29:37deep strongholds in the south. So,
  835. 29:39basically, whoever the parties have
  836. 29:41picked in their selection process is
  837. 29:43almost guaranteed to win the general
  838. 29:44election. So, voters, in a way, are a
  839. 29:46little bit irrelevant in the
  840. 29:47strongholds. So, what could you do
  841. 29:49instead?
  842. 29:50Well, this experiment was working with
  843. 29:52the parties and they held these party
  844. 29:54conventions. So, those are That's a
  845. 29:56picture of one. Those are two aspirants.
  846. 29:58Aspirants mean you're aspiring to be the
  847. 30:00candidate. So, these guys are competing
  848. 30:01with each other.
  849. 30:03They are debating each other on their
  850. 30:05merits, on their policy visions, and
  851. 30:07they're in front of party leaders, rank
  852. 30:09and file members, regular voters. And
  853. 30:11these conventions happen. They're
  854. 30:13broadcast over local radio many times
  855. 30:15over the subsequent weeks. So, voters
  856. 30:16that weren't there
  857. 30:18uh can see it. So, so that's thing one.
  858. 30:19Thing two
  859. 30:21is that This is where the research team
  860. 30:22comes in. We went around to these
  861. 30:24communities and we took a representative
  862. 30:26sample of voters and we visited them at
  863. 30:28their house and we said, "Okay, this
  864. 30:30party, here's an example, they have four
  865. 30:33potential candidates in this
  866. 30:34constituency, who do you want them to
  867. 30:36pick?" Right? Then we just compiled that
  868. 30:39data in these one-page reports. You can
  869. 30:40see in this example, the party was
  870. 30:42looking at four candidates and really
  871. 30:44had a very clear front-runner with
  872. 30:46voters. And then these reports are
  873. 30:48delivered to party leaders.
  874. 30:49And the important thing, so this is not
  875. 30:51a US primary cuz there's nothing binding
  876. 30:53about this. It's really just alleviating
  877. 30:56information constraints
  878. 30:57for party leaders. So So what do I mean
  879. 30:59by that? Well, the conventions give
  880. 31:01party leaders really good information on
  881. 31:02their own choices, like what do their
  882. 31:04own aspirants look like? And then really
  883. 31:06importantly, it tells party leaders how
  884. 31:08do voters feel about these different
  885. 31:10choices. And we're going to find that
  886. 31:12that second part is really important
  887. 31:13because parties don't actually have very
  888. 31:15good information on what voters want.
  889. 31:18Okay, so this is a randomized controlled
  890. 31:19trial, so this is what it looks like.
  891. 31:21You have a big lottery over here on the
  892. 31:22left. You put some constituencies in the
  893. 31:24treatment group, some constituencies in
  894. 31:26the control group. Those big boxes are
  895. 31:29just collecting surveys, survey data
  896. 31:31from voters, aspirants, party leaders.
  897. 31:32So that's exactly the same in treatment
  898. 31:34and control.
  899. 31:35But you can see in the treatment group,
  900. 31:37there's the conventions and the radio
  901. 31:38broadcast. That last voter survey,
  902. 31:40that's what goes into the voter report
  903. 31:42to say, you know, if you were to have a
  904. 31:43primary, who who would win?
  905. 31:45And the control group is just politics
  906. 31:47as usual, but we're still collecting
  907. 31:49that voter survey, so we know who would
  908. 31:52win a primary, but we're not going to
  909. 31:54compile that report, we're not going to
  910. 31:55share it with parties, but we're just
  911. 31:56going to see, okay, at the end of the
  912. 31:58day, um does representation go up or
  913. 32:00down? Right? Are voters more or less
  914. 32:02likely to get their choice? And this
  915. 32:04this will be my last slide because you
  916. 32:06can basically summarize this entire
  917. 32:08paper in two pictures. So what are the
  918. 32:10results?
  919. 32:12Well, the first result is this had a
  920. 32:14very large impact on on increasing
  921. 32:17representation as we've defined it as
  922. 32:19the voters get their first-choice
  923. 32:20candidate. And remember cuz there's all
  924. 32:22these strongholds, getting your
  925. 32:24first-choice candidate often times mean
  926. 32:26you're also getting your first-choice
  927. 32:28elected member of parliament. So if you
  928. 32:30see in the control races, this is if I'd
  929. 32:32looked at that bottom line, who would
  930. 32:34have won the primary and who did the
  931. 32:35parties pick? The parties picked the
  932. 32:37voters first choice only 38% of the
  933. 32:39time.
  934. 32:41And if you think of this as a measure of
  935. 32:42representation, that's a really low
  936. 32:45baseline, right? In the majority of
  937. 32:47races, parties are picking somebody
  938. 32:49other than the person that the voters
  939. 32:50want the most. Okay, what happens in
  940. 32:52treatment? That shoots up to 61%. That's
  941. 32:55a sizable magnitude. It's very
  942. 32:58statistically significant, but you can
  943. 33:00see that's still very far away from
  944. 33:01100%, right? Because this is not
  945. 33:02actually a primary, it's just free
  946. 33:04disposal
  947. 33:05of information. Okay, so representation
  948. 33:07went up. Great. What happens to
  949. 33:10selection on quality?
  950. 33:11So this is now we're thinking about,
  951. 33:13okay, when we compare the people that
  952. 33:15became the candidate at the end of the
  953. 33:17day,
  954. 33:18in the control races where parties are
  955. 33:20picking, you do see positive selection
  956. 33:22on quality, right? Those numbers, these
  957. 33:24are in standard deviation units, but
  958. 33:25they're they're looking at things like
  959. 33:27how many development projects has this
  960. 33:28person been involved in. These are like
  961. 33:30local public goods. So in control races,
  962. 33:32the candidate is better than the average
  963. 33:34of people that weren't chose chosen by
  964. 33:360.17 standard deviation units, but in
  965. 33:38treatment races, that jumps up to 0.46
  966. 33:41standard deviation units, right?
  967. 33:43So overall, this is saying, actually, in
  968. 33:46this context, where information problems
  969. 33:48were a very big constraint, if you give
  970. 33:50parties information on what voters want,
  971. 33:53and remember, these are very poor
  972. 33:54voters, they have little access to
  973. 33:56education, right? But they they know
  974. 33:58what they want,
  975. 33:59and if you give parties this
  976. 34:01information, they're willing to
  977. 34:02accommodate it in part because voters
  978. 34:05and party leaders in this context are
  979. 34:07both pretty interested in similar
  980. 34:09characteristics, like how good are you
  981. 34:11at providing local public goods. Okay,
  982. 34:14so that's that's kind of wrapping up
  983. 34:16selection on valence, selection on
  984. 34:17competence, and thinking about, you
  985. 34:19know, gatekeeping and voters in the lens
  986. 34:21of of one specific policy, which is
  987. 34:24primaries. So I'm going to end here, and
  988. 34:26I'm going to pass over to Rohini, who's
  989. 34:27going to pick up and talk about what
  990. 34:29about selection on group identity.
  991. 34:34>> Great. Thanks, Kate. And I'll take over
  992. 34:37now. Let me make this full screen.
  993. 34:41Thanks, everyone. And it's great to be
  994. 34:43here and I'll be engaged with a bunch of
  995. 34:45you on
  996. 34:47the Q&A after
  997. 34:49I think you've been asking one question.
  998. 34:51Are the people who get into government
  999. 34:52any good? Are they competent? Are they
  1000. 34:55honest? These are all what, as you
  1001. 34:56mentioned, we think of as issues of
  1002. 34:58valence.
  1003. 34:59I want to ask a slightly different but
  1004. 35:01very related question.
  1005. 35:03You know, who is the leader? Which group
  1006. 35:05do they come from? And does identity
  1007. 35:07matter?
  1008. 35:08And to do that, I'm going to focus on
  1009. 35:10just one group, which is women.
  1010. 35:12Um the main reason for this is that we
  1011. 35:15have by now a lot of good evidence, and
  1012. 35:18as Kate pointed out, causal evidence is
  1013. 35:21hard. We have causal evidence in this
  1014. 35:23area because
  1015. 35:25uh we've seen a large expansion of
  1016. 35:27gender quotas, which have provided us a
  1017. 35:28lot of both natural experiments and in
  1018. 35:31some cases randomized variation when
  1019. 35:33women are elected.
  1020. 35:35And the other thing is that I think the
  1021. 35:36gate that keeps people out is very well
  1022. 35:39documented in the case of gender.
  1023. 35:41Having said that, these are issues that
  1024. 35:43you can think about as applying to race
  1025. 35:45and ethnicity as well.
  1026. 35:47So, let me start by just kind of giving
  1027. 35:49you uh the entire argument on one slide.
  1028. 35:53So, as I said, we're going to be
  1029. 35:54thinking about um
  1030. 35:56we're going to be thinking about
  1031. 35:57selection on identity.
  1032. 35:59So, the first step is going to be to ask
  1033. 36:01what
  1034. 36:03uh it matter who is represented in
  1035. 36:07And that's a question that I saw come up
  1036. 36:08quite often on the
  1037. 36:10um
  1038. 36:10Q&A. And the answer is that
  1039. 36:12representation will matter whenever
  1040. 36:14preferences differ by groups. Uh we have
  1041. 36:17a lot of evidence that for men and
  1042. 36:19women, these preferences differ. And
  1043. 36:21importantly, these are not differences
  1044. 36:23that disappear with development. So,
  1045. 36:25there's, you know, one view that oh, in
  1046. 36:27low income countries where there's a lot
  1047. 36:28of occupational segregation,
  1048. 36:31you may see these differences, but
  1049. 36:33they'll differ over time. But there's
  1050. 36:34recent work, for instance, by Almond
  1051. 36:36Faulk showing that gender differences
  1052. 36:39persist even in rich countries.
  1053. 36:46The second reason why
  1054. 36:49identity will matter is if leaders
  1055. 36:51respond more to their own group. What's
  1056. 36:53the reason for this? Again, I think Kate
  1057. 36:56alluded to this is that if we believe
  1058. 36:58that you can't have full policy
  1059. 36:59commitment, so before election, perhaps
  1060. 37:02the incumbent to some extent can commit
  1061. 37:04to policies by saying and making
  1062. 37:07announcements and starting, for
  1063. 37:08instance,
  1064. 37:10you know, schemes to give women
  1065. 37:12unconditional cash transfers. The
  1066. 37:14opposition members can't, and this means
  1067. 37:17that it's very natural for voters to
  1068. 37:19infer that some of what they're going to
  1069. 37:22see is going to be a reflection of what
  1070. 37:25the politician wants, and gender is a
  1071. 37:27reason gender and many other
  1072. 37:29aspects of group identity are
  1073. 37:30informative of policy preferences.
  1074. 37:34And then the third is that
  1075. 37:36representation is not automatic. It's
  1076. 37:38not something that follows just because
  1077. 37:41there's a group that's reasonably large.
  1078. 37:43Women is an interesting group to look in
  1079. 37:45this respect because in most countries
  1080. 37:47it's close to the majority, if not the
  1081. 37:49majority of voters.
  1082. 37:51But as Kate pointed out, you know,
  1083. 37:52representation doesn't happen just
  1084. 37:55anyone actually gets voted. It goes
  1085. 37:57through things like party selectorates.
  1086. 38:00And because holding power gives private
  1087. 38:03returns, there's a lot of value for the
  1088. 38:05incumbents to gatekeep and ration entry.
  1089. 38:09And
  1090. 38:10why is does this matter? This matters, I
  1091. 38:13think, at a societal level, as I'll talk
  1092. 38:15about, is because
  1093. 38:17often when you have inadequate
  1094. 38:19representation of a group, in this case
  1095. 38:21gender, what we see that there are
  1096. 38:23returns that are kind of externalities.
  1097. 38:26These are societal returns. So, the
  1098. 38:28private privately a gatekeeper can lose
  1099. 38:31when they see um
  1100. 38:34you know, their their seats going to
  1101. 38:35women, but on the other hand, society
  1102. 38:38may gain, and I'll make this more clear
  1103. 38:40as we go through the slides. And this
  1104. 38:42creates a case for identity-based
  1105. 38:44policies like gender quotas, which we're
  1106. 38:45going to spend a lot of this lecture
  1107. 38:47talking about.
  1108. 38:50So, let me give you just one example
  1109. 38:53from a paper so that this doesn't remain
  1110. 38:54like an abstract set of concepts before
  1111. 38:57we kind of open up the bundle. So, this
  1112. 38:59is a very nice study by Pascaline Dupas
  1113. 39:01and Radhika Jain,
  1114. 39:03who start by looking in a state of
  1115. 39:06India, Rajasthan, where they have
  1116. 39:08amazing data on hospital
  1117. 39:11um
  1118. 39:13um claims. This is a setting where
  1119. 39:15there's free health care. And the first
  1120. 39:18point they make that free hospital care
  1121. 39:19doesn't mean that there's this equal
  1122. 39:21care for men and women in the household.
  1123. 39:24They show that over time,
  1124. 39:26as the number of annual visits doubled
  1125. 39:29because there was expansion in the
  1126. 39:31access to this, the female share
  1127. 39:33actually fell from 47% to 44%.
  1128. 39:36So, what this tells you that not just
  1129. 39:38the infra-marginal, but the marginal
  1130. 39:40person benefiting as well was male. And
  1131. 39:43they calculate as a result of this,
  1132. 39:45there's a large number of missing female
  1133. 39:47visits.
  1134. 39:49What they find that if you just cut
  1135. 39:51costs for all, this doesn't close the
  1136. 39:53gap. So, when a new subsidized hospital
  1137. 39:55comes up, we know distance matters for
  1138. 39:57most things when it comes to public
  1139. 39:59services,
  1140. 40:00they find it increases both men and
  1141. 40:02women's visits, but men's more.
  1142. 40:06So, what does matter? They find that
  1143. 40:07what matters is uh having female
  1144. 40:09leaders. They find that in a in a
  1145. 40:12village that has a female leader,
  1146. 40:15uh the female visit share to hospitals
  1147. 40:17goes up for both under 15s and over and
  1148. 40:2115 to 45 year old. And what they
  1149. 40:24highlight the reason why it goes up is
  1150. 40:26not because they reduce generalized
  1151. 40:29um, constraints, but because they they
  1152. 40:33reduce female specific constraints. So,
  1153. 40:35they find that what it they do is they
  1154. 40:37increase
  1155. 40:38women health workers contacts, monthly
  1156. 40:41village meetings um,
  1157. 40:44go up. At the same time, there's no
  1158. 40:46change in facility supply, program
  1159. 40:48awareness
  1160. 40:49or perhaps and this is kind of a common
  1161. 40:50finding very often, we don't see changes
  1162. 40:52in gender attitudes.
  1163. 40:54So, this I think is a canonical example
  1164. 40:56of what I think of as the externality.
  1165. 40:59Um, you know, you get a female leader in
  1166. 41:01place and what you're going to see
  1167. 41:02there's an externality that benefits
  1168. 41:05other women in the village, but this is
  1169. 41:07not something that's a private gain for
  1170. 41:09the female leader.
  1171. 41:12So, just to remind you, uh, we see these
  1172. 41:15externalities in many settings. We see
  1173. 41:18that women, uh, if you look at this if
  1174. 41:20you look at the picture on the
  1175. 41:22on the right, you can see that women are
  1176. 41:25roughly 50%, but the share of seats held
  1177. 41:28by women everywhere is relative is less
  1178. 41:30than 50%. Only 15% of the heads of
  1179. 41:33government today are women and 27% of
  1180. 41:36national parliamentarians.
  1181. 41:38So, this again is just a stark reminder
  1182. 41:40of the fact that having the ability to
  1183. 41:43go to the voting booth is not going to
  1184. 41:45is probably necessary, but is not going
  1185. 41:48to be sufficient to get, uh, women the
  1186. 41:50position of power that they
  1187. 41:53from a purely representation perspective
  1188. 41:55would probably benefit from.
  1189. 41:58So, what am I going to do today? I'm
  1190. 41:59going to walk you through the reasons
  1191. 42:01through this and I thought it'd be
  1192. 42:02useful just lay out to start by telling
  1193. 42:05you what the different, um,
  1194. 42:08arguments we're going to make is. So,
  1195. 42:10we're going to talk about the first part
  1196. 42:11which I think is something Kate talked
  1197. 42:13about already, is well, why are women
  1198. 42:15not elected? And what we're going to see
  1199. 42:17is the women very often face a higher
  1200. 42:19bar.
  1201. 42:21What do quotas do in this setting?
  1202. 42:23Quotas in this setting
  1203. 42:25reduce the bar mechanically. They force
  1204. 42:27entry of women.
  1205. 42:30What are the benefits of having
  1206. 42:32women come in? So, one reason why women
  1207. 42:36don't get elected is, you know, you sort
  1208. 42:39of
  1209. 42:40traditionally believe that women should
  1210. 42:41not play leadership roles. You think
  1211. 42:43you're kind of
  1212. 42:44biased about it. And so, when you're
  1213. 42:46exposed to women, learning cuts the
  1214. 42:49bias. And so, we'll see evidence that
  1215. 42:51that's one one reason why women face a
  1216. 42:53higher bar.
  1217. 42:55We'll also see that
  1218. 42:58when women get elected, it often reduces
  1219. 43:01the private rents to male incumbents,
  1220. 43:04but also reduces misallocation. So, this
  1221. 43:07speaks to the other argument for why
  1222. 43:09women may may face a higher bar is
  1223. 43:12because there are potentially
  1224. 43:15male incumbents are more threatened by
  1225. 43:17female newcomers than male newcomers.
  1226. 43:21And we'll see evidence from Sweden on
  1227. 43:22this. And then finally, we'll look at
  1228. 43:24gatekeepers and how do gatekeepers try
  1229. 43:27to control this margin?
  1230. 43:29So, let's start by thinking about why
  1231. 43:31aren't women elected?
  1232. 43:33Now, I want you bring here a concept
  1233. 43:35that, you know, is often discussed in,
  1234. 43:37I'd say, labor economics and perhaps a
  1235. 43:40little bit less in political economy
  1236. 43:41than it should be, which is to really
  1237. 43:43think about the role of norms. We've
  1238. 43:47seen in political economy in recent
  1239. 43:49years a lot of discussion about culture.
  1240. 43:52I think there's a lot of recognition
  1241. 43:54that political economy is as much about
  1242. 43:55informal institutions as formal
  1243. 43:57institutions. And both these factors
  1244. 44:01are very very important when we think
  1245. 44:03about gender.
  1246. 44:06So, just to remind you, this is data
  1247. 44:07from the World Values Survey, and this
  1248. 44:09just shows you across countries
  1249. 44:12what is the percent of respondents in
  1250. 44:16blue it's uh
  1251. 44:18uh women and
  1252. 44:19uh
  1253. 44:20So sorry, uh it's uh yeah, blue is men
  1254. 44:23and orange is women who agree that uh
  1255. 44:27Yeah, who who agree that sorry, I forgot
  1256. 44:30yeah, who agree that men make better
  1257. 44:32political leaders than women. And what
  1258. 44:34we can see that other than OECD and uh
  1259. 44:37Latin America, in all other parts of the
  1260. 44:39world the majority of men believe that
  1261. 44:42men make better political leaders than
  1262. 44:44women do. And so, you know, the group
  1263. 44:46that's not affected is has particularly
  1264. 44:48strong views on uh women's ability to uh
  1265. 44:52make better leaders.
  1266. 44:54Now,
  1267. 44:56let's remind ourselves about what a
  1268. 44:57gender norm is. A gender norm is, you
  1269. 45:00know, a gender-specific rule of
  1270. 45:02behavior. It could be for instance that
  1271. 45:04uh men should play the role of the
  1272. 45:08breadwinner, or men should be leaders.
  1273. 45:10And what a norm holds is when
  1274. 45:14people prefer to conform to the stated
  1275. 45:17belief rather than
  1276. 45:21perhaps what they themselves believe,
  1277. 45:23because they think others are going to
  1278. 45:24approve of such behavior, or they expect
  1279. 45:27sanctions or rewards if they uh are in
  1280. 45:30line with this uh gender-specific rule
  1281. 45:33of behavior. What this means about what
  1282. 45:36matters in uh sustaining uh norms is
  1283. 45:39beliefs about beliefs. And this is where
  1284. 45:43um
  1285. 45:43gatekeepers uh benefit from it.
  1286. 45:46Gatekeepers often in many societies are
  1287. 45:48seen as the holders of uh cultural
  1288. 45:51norms. They're seen as the group that
  1289. 45:52where be able to inform these uh
  1290. 45:56uh enforce what is appropriate behavior.
  1291. 45:59And these expected penalties can drive
  1292. 46:01conformity.
  1293. 46:03So, if gatekeepers are able to
  1294. 46:06um drive such norms and benefit from it,
  1295. 46:10we can see why they would why these may
  1296. 46:12continue to live on even if personal
  1297. 46:14beliefs deviate from it.
  1298. 46:17So, when we think about the gates that
  1299. 46:19matter and [clears throat] when we think
  1300. 46:20about the gates that matter in politics,
  1301. 46:22there are really two.
  1302. 46:24First is within the family. We see this
  1303. 46:26in a lot of settings um that women's
  1304. 46:29entry into politics is sort of a family
  1305. 46:32matter and husbands and in-laws decide
  1306. 46:34whether or not you can enter into
  1307. 46:36politics. And then as Kate has already
  1308. 46:38talked about, party selectorates play an
  1309. 46:40important role and they choose to affect
  1310. 46:43your ability to enter and access
  1311. 46:44leadership.
  1312. 46:46And so, the question then becomes why
  1313. 46:48would it be that a gatekeeper would want
  1314. 46:51to use these norms to in particular keep
  1315. 46:54women out?
  1316. 46:55So, this is um I think the only
  1317. 46:58uh
  1318. 46:59conceptual framework slide I'm going to
  1319. 47:01go through, but I think it's a useful
  1320. 47:03one to think about.
  1321. 47:04So, let's think about uh what are the
  1322. 47:07benefits to society from a female
  1323. 47:09leader?
  1324. 47:10It's going to be some It's going to be
  1325. 47:12the difference between the value of
  1326. 47:14having a female leader and a male
  1327. 47:15leader. This could be positive, this
  1328. 47:17could be zero, this could be negative.
  1329. 47:20Plus importantly what we talked about is
  1330. 47:22there's a representation externality.
  1331. 47:24This could for instance the case of uh
  1332. 47:27the Dube and Sen paper be that other
  1333. 47:29women benefit from the active actions
  1334. 47:32that women undertake. There are many
  1335. 47:34other papers showing that
  1336. 47:36when when women are elected, they have
  1337. 47:39important role model effects. So, in any
  1338. 47:41society where there is gender bias,
  1339. 47:43there appears to be significant evidence
  1340. 47:45of a representation externality.
  1341. 47:48But now if we think about um the
  1342. 47:51gatekeeper's benefit, the gatekeeper
  1343. 47:53doesn't care about the representation
  1344. 47:54externality. That's not a private
  1345. 47:56benefit.
  1346. 47:57Rather, what he thinks about is his
  1347. 48:01the first two terms, but these two terms
  1348. 48:04are now going to be modified by three
  1349. 48:06terms, B, V, and kappa, which I'm going
  1350. 48:09to talk about.
  1351. 48:11So, what are these three terms?
  1352. 48:13So, B is the belief bias.
  1353. 48:15So, I may not know I may just believe
  1354. 48:18literally in the norm and think that men
  1355. 48:20make better leaders and believe that,
  1356. 48:22you know,
  1357. 48:23women are not going to be so good.
  1358. 48:25This is a case where we can see that
  1359. 48:27gender quotas that cause exposure to
  1360. 48:29women can actually erode such a biased
  1361. 48:33beliefs.
  1362. 48:34The second is uncertainty.
  1363. 48:36Um this is just the fact I've never seen
  1364. 48:38women. I don't know how they will be. I
  1365. 48:41am at all risk averse. I'd rather go
  1366. 48:44with a known quantity than a unknown
  1367. 48:46quantity.
  1368. 48:47Now,
  1369. 48:49in this particular case, you could say
  1370. 48:50that experimentation is a good thing.
  1371. 48:52You will learn by trying them. But, the
  1372. 48:54problem is that the gatekeeper is not
  1373. 48:55the only person who gets the returns
  1374. 48:57from experimentation. If you learn that
  1375. 48:59women are as capable as men, all future
  1376. 49:03employers, all future party leaders
  1377. 49:05learn about it. And so, this under
  1378. 49:07experimentation
  1379. 49:09is going to be a result of the fact that
  1380. 49:11the gains are to the society even if the
  1381. 49:14gatekeeper is the first one to bear the
  1382. 49:15cost.
  1383. 49:16And the third is just control. The rise
  1384. 49:19of a woman may erode a male control
  1385. 49:22within the household if, for instance, a
  1386. 49:24woman starts
  1387. 49:25uh gaining political position and
  1388. 49:27working outside, she may have more
  1389. 49:29bargaining power within the household,
  1390. 49:30which reduces the husband's control.
  1391. 49:33Within a party, as we'll see in Sweden,
  1392. 49:36women may challenge male leaders a
  1393. 49:38little bit more, and this can lead to
  1394. 49:40resistance.
  1395. 49:41So, you should think of this as really
  1396. 49:43uh what we're going to try to look at
  1397. 49:45through the lens of quotas.
  1398. 49:49So,
  1399. 49:50gender quotas are interesting from in
  1400. 49:53one particular sense that they got
  1401. 49:54implemented well before there was
  1402. 49:56evidence on them. They started after the
  1403. 49:591995 Beijing conference, and as you can
  1404. 50:02see
  1405. 50:04other than North America
  1406. 50:06and
  1407. 50:07uh upper part of Asia, they're pretty
  1408. 50:09dominant everywhere.
  1409. 50:12We can take the extreme case of reserved
  1410. 50:15seats where you have only women can
  1411. 50:18stand in particular reserved seats. They
  1412. 50:21can take candidate quotas where parties
  1413. 50:24have to
  1414. 50:25in proportional representation systems
  1415. 50:27have a certain number of women
  1416. 50:30take can be candidates. Or they could be
  1417. 50:32voluntary party quotas. This was started
  1418. 50:34for instance in Scandinavia, where the
  1419. 50:36parties explicitly announced that they
  1420. 50:38would have a certain number
  1421. 50:40representation of women.
  1422. 50:43I should just note we're going to be
  1423. 50:44talking a little bit about quite a lot
  1424. 50:46about India. Uh India has gender quotas
  1425. 50:49right now at the local levels of
  1426. 50:51government, not the national, which is
  1427. 50:52why it's in the gray color.
  1428. 50:56Okay, so just to remind you what what do
  1429. 50:59quotas do?
  1430. 51:00So as you saw from the one page of the
  1431. 51:03conceptual framework we had, um the
  1432. 51:06gatekeepers bar is going to be higher
  1433. 51:08than the society bar by the difference
  1434. 51:11of the externality.
  1435. 51:12And so this is the the area where the
  1436. 51:15quota is going to act.
  1437. 51:18It's going to act on both margins. It's
  1438. 51:20also going to both shift beliefs. And if
  1439. 51:24it shifts beliefs, these are persistent
  1440. 51:26gains. So you could believe that you
  1441. 51:27could have quotas in the short run,
  1442. 51:30which will see persistent gains that
  1443. 51:32self-sustaining.
  1444. 51:34On the other hand, if [clears throat]
  1445. 51:37if the and we'll see evidence of this as
  1446. 51:38well, if quotas leave parties discretion
  1447. 51:42and they threaten the rents, then you
  1448. 51:45you see that
  1449. 51:48party gatekeepers are going to react to
  1450. 51:50these quotas by
  1451. 51:53trying to undermine how effective they
  1452. 51:55are.
  1453. 51:58So, let's see what quotas deliver.
  1454. 52:02So, I want to start with a lot of some
  1455. 52:05quite well-known evidence. I think
  1456. 52:06Esther Duflo uh
  1457. 52:08uh
  1458. 52:09who won the Nobel Prize a few years ago
  1459. 52:12in development is well-known for uh some
  1460. 52:14of the initial work showing that gender
  1461. 52:16quotas uh
  1462. 52:18are associated with women's preferences
  1463. 52:20getting better represented. I then did
  1464. 52:22more work with her and colleagues to
  1465. 52:25look to see what it did to beliefs.
  1466. 52:28So, as I said, Esther had early work
  1467. 52:30showing that public good spending
  1468. 52:32follows women's complaints. So,
  1469. 52:35the advantage of looking at this in the
  1470. 52:37Indian context was that there was
  1471. 52:39randomization in which villages were
  1472. 52:41exposed to gender quotas. So, you could
  1473. 52:44ask whether uh the public good spending
  1474. 52:46in those villages was more in line with
  1475. 52:50what women were complaining about in
  1476. 52:51village meetings.
  1477. 52:54There's been work since then suggesting,
  1478. 52:56and this is I think again a classic
  1479. 52:57externality example, that uh women are
  1480. 53:00more comfortable reporting crimes and
  1481. 53:03police responsiveness also rises when
  1482. 53:05you have women leaders.
  1483. 53:08What we found in our work is that uh
  1484. 53:12voters actually updated their beliefs
  1485. 53:13about female leaders once they were
  1486. 53:15exposed to leaders.
  1487. 53:17Uh they also improved their aspirations
  1488. 53:20about their daughters' uh future roles.
  1489. 53:23They saw We saw a rise in the schooling
  1490. 53:26among girls and a reduction in the time
  1491. 53:29use of girls at household chores.
  1492. 53:33And finally, perhaps most importantly,
  1493. 53:34and this is consistent with the idea
  1494. 53:36that if it is just belief bias, once you
  1495. 53:38move it, you should be done, is that
  1496. 53:40once the quotas were removed, women were
  1497. 53:43more likely to get
  1498. 53:45to remain
  1499. 53:48viable candidates and get selected. And
  1500. 53:50this wasn't being driven by incumbents
  1501. 53:52being reelected. This was about new
  1502. 53:54women entering and having a high
  1503. 53:55probability of winning.
  1504. 53:57There's also nice work by Tanu Goyal
  1505. 54:00showing that one thing that women do is
  1506. 54:02women are more likely to use female
  1507. 54:04party workers. So there's also an
  1508. 54:06expansion in grassroots political
  1509. 54:09activity by women.
  1510. 54:13And just to kind of reiterate the point
  1511. 54:15because I think this is something Kate
  1512. 54:17talked quite a lot about is
  1513. 54:20you know, it's always hard to look at
  1514. 54:23identity effects just because selection
  1515. 54:25is endogenous.
  1516. 54:26The kind of areas that are going to
  1517. 54:28select women are likely very different
  1518. 54:30from those that are not.
  1519. 54:31So the advantage in India, and that's
  1520. 54:33perhaps the reason why there's been
  1521. 54:35several studies from it,
  1522. 54:37was the fact that what we saw is
  1523. 54:40the assignment of whether you were
  1524. 54:42reserved was done by a serial number
  1525. 54:44rule on randomized lists, and this was
  1526. 54:46redrawn at each election. And the nature
  1527. 54:49of it meant that there was randomized
  1528. 54:50variation not only in whether you were
  1529. 54:52reserved, but also in how long you were
  1530. 54:54reserved for. You either never reserved
  1531. 54:56for one term or two terms.
  1532. 55:00So the other part that I think is worth
  1533. 55:03highlighting is
  1534. 55:05in looking at
  1535. 55:07beliefs, there's a huge concern of
  1536. 55:10social desirability. This is exactly
  1537. 55:12goes back to what we talked about the
  1538. 55:14underlying gender norms.
  1539. 55:16Uh
  1540. 55:18Suppose I believe that it is appropriate
  1541. 55:21for me to say that
  1542. 55:23women are not good leaders, then maybe I
  1543. 55:26think women are good leaders, but I
  1544. 55:27won't say that in response to a survey
  1545. 55:29because I don't believe that is
  1546. 55:31appropriate. And so this leads to the
  1547. 55:34concern that if you just go out and
  1548. 55:35surveys and ask
  1549. 55:38uh
  1550. 55:39villagers, you know, do you like your
  1551. 55:41female leader or do you like your male
  1552. 55:43leader? The answers may be very tainted
  1553. 55:46by what they believe you want to hear.
  1554. 55:49So, what we did here, and I think
  1555. 55:50there's been a huge expansion in uh
  1556. 55:53especially in the political science
  1557. 55:54literature on this, so I think for those
  1558. 55:56of you thinking of research in this
  1559. 55:57area, I would encourage you
  1560. 55:59to engage with this literature of
  1561. 56:01thinking of ways in which you can try to
  1562. 56:04reduce social desirability bias.
  1563. 56:06So, for instance, what you can do is you
  1564. 56:08can
  1565. 56:10give people identical speeches or
  1566. 56:12vignettes where you just randomize
  1567. 56:15the voice of the person giving the
  1568. 56:17speech or the name in the vignette and
  1569. 56:19see if the change in the gender of who
  1570. 56:23speaks changes their ranking of it. And
  1571. 56:27that's going to be, you know, some
  1572. 56:28inherent
  1573. 56:30bias, not something as a social
  1574. 56:32desirability bias.
  1575. 56:34You can also do increasingly what people
  1576. 56:36call implicit association tests where
  1577. 56:38you see whether your willingness to
  1578. 56:40associate men and women with different
  1579. 56:42tasks varies with um
  1580. 56:46with how
  1581. 56:48uh
  1582. 56:49varies with
  1583. 56:51how stereotyped that task is. So, do you
  1584. 56:53associate women with home chores more
  1585. 56:56than you associate men with home chores
  1586. 56:58and vice versa when it comes to
  1587. 56:59leadership roles?
  1588. 57:01So, when we did all of this, what we
  1589. 57:03found is that
  1590. 57:05uh with exposure
  1591. 57:08there was a significant reduction in
  1592. 57:10bias. But, what was interesting is in
  1593. 57:12some it took time. So, the first cohort
  1594. 57:15did first cohort of women leaders did as
  1595. 57:18well as male leaders when it comes to,
  1596. 57:20you know, public good provision quality
  1597. 57:22of what they provide, they they took
  1598. 57:24fewer bribes than
  1599. 57:26in their than comparable male leaders.
  1600. 57:29But, they were ranked lower.
  1601. 57:31However, the second cohort was rated at
  1602. 57:34par with men.
  1603. 57:35And so what this tells us is that
  1604. 57:38you can see the shifting of behavior,
  1605. 57:41but it takes time.
  1606. 57:43Importantly, what is true is that you
  1607. 57:44can see that your willingness to
  1608. 57:46kind of vote for a good candidate can
  1609. 57:49change without your taste changing.
  1610. 57:52I think this is important because very
  1611. 57:53often we fixate on saying, you know,
  1612. 57:56what will it take to change gender
  1613. 57:57norms?
  1614. 57:58You know, maybe people don't like women
  1615. 58:00very much as leaders, but they also want
  1616. 58:03the best qualified leaders, and so they
  1617. 58:06may be willing to sort of put up with
  1618. 58:08women because they realize they do much
  1619. 58:10better, and that's what we saw in West
  1620. 58:12Bengal.
  1621. 58:14And so we see when when you look at
  1622. 58:1710 years after reservation what it was
  1623. 58:19in place at seats that were no longer
  1624. 58:22reserved,
  1625. 58:23if you go from being in an area that had
  1626. 58:26never seen reservation for women that
  1627. 58:27were reserved twice, you see one and a
  1628. 58:31half times increase in the likelihood of
  1629. 58:33having female leaders.
  1630. 58:35It seems that beliefs first take time to
  1631. 58:38update, and then entry follows after
  1632. 58:40that.
  1633. 58:42So last couple of things I want to
  1634. 58:44quickly talk about is first, what is it
  1635. 58:46that we learn about a binding quota?
  1636. 58:50So this is a paper by Besley et al. from
  1637. 58:52Sweden, where they basically took the
  1638. 58:55Swedish case, which was a case of
  1639. 58:57voluntary party quotas. So the Swedish
  1640. 59:00uh
  1641. 59:01one of the mainstream Swedish parties
  1642. 59:02announced a zipper law. So it said every
  1643. 59:05alternate seat has to be male or female.
  1644. 59:08And the model they put forward is that
  1645. 59:11the party leader controls the list. This
  1646. 59:13is not a system with primaries.
  1647. 59:15But the party leader recognizes that in
  1648. 59:18who it he gives tickets to is going to
  1649. 59:21affect who is going to
  1650. 59:25support him in the next leadership
  1651. 59:26contest within the party. So, that's the
  1652. 59:29private return they're trying to
  1653. 59:30protect.
  1654. 59:31They hypothesize that um there is
  1655. 59:36homophily, that men like men, and so a
  1656. 59:39party leader would rather go for what
  1657. 59:40they call mediocre male candidates who
  1658. 59:43are worse leaders because they know
  1659. 59:45they'll be loyal to them in part because
  1660. 59:46they realize the reason they got the
  1661. 59:48ticket was because the party leader
  1662. 59:50favored them.
  1663. 59:52Notice that this is a model with no
  1664. 59:54bias. This is just a case of a party
  1665. 59:56leader who wants to maintain that
  1666. 59:57position. And this gate then binds even
  1667. 1:00:00when there is zero bias, and citizens
  1668. 1:00:02bear the cost.
  1669. 1:00:04One of the questions that came up
  1670. 1:00:06repeatedly I saw in the Q&A's how do you
  1671. 1:00:08measure competence? How do you measure
  1672. 1:00:09quality? Sweden is a good example for
  1673. 1:00:12this. Um they can basically look at the
  1674. 1:00:15administrative data and look at
  1675. 1:00:17everyone's earnings relative to their
  1676. 1:00:19peers. They define someone as competent
  1677. 1:00:21if controlling for a set of
  1678. 1:00:23characteristics uh you earn more than
  1679. 1:00:26you would be expected to earn. And then
  1680. 1:00:28for men they can validate it against
  1681. 1:00:30cognitive scores at the time of entering
  1682. 1:00:32the military.
  1683. 1:00:34What do they find? They basically find
  1684. 1:00:36that
  1685. 1:00:38uh when you have the zipper quota put in
  1686. 1:00:41place, you see no change in the
  1687. 1:00:44competence of women, but a huge increase
  1688. 1:00:46in the competence of men. So, recall
  1689. 1:00:48with the zipper quota a set of men are
  1690. 1:00:50now disqualified, so there fewer men who
  1691. 1:00:52are left. Those men are much more
  1692. 1:00:55competent. And so,
  1693. 1:00:57the suggestion is that what was getting
  1694. 1:00:59displaced were uh less competent men for
  1695. 1:01:03women who are at least as competent as
  1696. 1:01:04those being displaced.
  1697. 1:01:06Um
  1698. 1:01:09so,
  1699. 1:01:11again, I think this brings us back to
  1700. 1:01:12what Kate was saying is you know, the
  1701. 1:01:15quality of who's elected reflects the
  1702. 1:01:16gate, so you're going to need the whole
  1703. 1:01:18chain. You're going to have to
  1704. 1:01:19understand who was available, how they
  1705. 1:01:21got chosen, and how they entered, not
  1706. 1:01:23just look at probability of winning
  1707. 1:01:26conditional on actually running.
  1708. 1:01:29Let me spend I'm slightly over time, but
  1709. 1:01:31let me spend the last couple of minutes
  1710. 1:01:33just talking about backlash.
  1711. 1:01:36So, as I said, candidate quotas exist
  1712. 1:01:38across the world, but what this graph
  1713. 1:01:41shows you is that the majority of the
  1714. 1:01:42world candidate quotas under deliver.
  1715. 1:01:45So, what this is telling you is zero
  1716. 1:01:46would be where as many candidates get
  1717. 1:01:50selected who are women as are
  1718. 1:01:53seats that are supposed to be assigned
  1719. 1:01:56to them. Right? So, if a party says 50%
  1720. 1:01:59of my candidates are going to be women,
  1721. 1:02:02this number would be zero if we see 50%
  1722. 1:02:05of those elected are women.
  1723. 1:02:07But, in the majority 43 out of 57
  1724. 1:02:09countries fall short of their own
  1725. 1:02:11candidate quota.
  1726. 1:02:13And the reasons are kind of have been
  1727. 1:02:15documented a number of papers, and some
  1728. 1:02:17of them are striking.
  1729. 1:02:19So, there's a paper from for Spain that
  1730. 1:02:23sort of highlights that in Spain we know
  1731. 1:02:26that very often there are what we call
  1732. 1:02:27ballot order effects that voters are
  1733. 1:02:30more likely to choose candidates who are
  1734. 1:02:32higher in the ballot. They find that
  1735. 1:02:35when this was put in place, women are
  1736. 1:02:38more likely to be put on the ballot who
  1737. 1:02:40have late alphabet surnames, which means
  1738. 1:02:42they come lower in the court in the
  1739. 1:02:44list, and are more likely to lose. This
  1740. 1:02:46you can say is like an extreme form of a
  1741. 1:02:48strategic play by parties.
  1742. 1:02:50Um in Nepal, we found in work with Mike
  1743. 1:02:54Callen and others that
  1744. 1:02:56uh parties faced a binding quota, but
  1745. 1:03:00they recognize it was on one of they had
  1746. 1:03:02to either have a mayor or deputy mayor
  1747. 1:03:04candidate who was female, but they
  1748. 1:03:07recognized if they formed a coalition
  1749. 1:03:08with another party, and each of them
  1750. 1:03:11fielded only one of the two candidates,
  1751. 1:03:12the quota was not binding. And so, we
  1752. 1:03:15saw this took place a lot in 2022 with a
  1753. 1:03:18decline of eight percentage points in
  1754. 1:03:20female representation.
  1755. 1:03:22In France and Germany, there's evidence
  1756. 1:03:24that women are run. So, you may have a
  1757. 1:03:2650% candidate quota, but you know where
  1758. 1:03:28you're less likely to win. And that's
  1759. 1:03:30where you run women.
  1760. 1:03:33And in Mexico, uh it seemed to be there
  1761. 1:03:35was some evidence that this was
  1762. 1:03:37pressuring women. So, elected women
  1763. 1:03:40would resign after being elected, and
  1764. 1:03:42then male alternatives would take over.
  1765. 1:03:45This was
  1766. 1:03:46uh recognized so broadly that in 2009, a
  1767. 1:03:49Juanitas law was passed, which now
  1768. 1:03:51requires that if a woman resigns, she
  1769. 1:03:53has to be replaced by another woman.
  1770. 1:03:56So, let me just end with uh just briefly
  1771. 1:03:59talking about I think are some of the
  1772. 1:04:00design implications, and then open it up
  1773. 1:04:02with some research questions that Kate
  1774. 1:04:05and I thought were on the frontier right
  1775. 1:04:07now.
  1776. 1:04:08So, when you think very specifically
  1777. 1:04:09about gender, if one really believes in
  1778. 1:04:12the
  1779. 1:04:13value of quotas in
  1780. 1:04:15creating exposure, leading to
  1781. 1:04:17experimentation, and that there is an
  1782. 1:04:18externality, then to the extent
  1783. 1:04:20possible, what you want to do is mandate
  1784. 1:04:22seats or candidacy because voters are
  1785. 1:04:25parties are able to manipulate when they
  1786. 1:04:27can.
  1787. 1:04:32I think the second part, and I think
  1788. 1:04:33this resonates with also what I think
  1789. 1:04:36Kate found, is the selectorate is really
  1790. 1:04:38important. We want to think about how do
  1791. 1:04:41we actually get women onto selection
  1792. 1:04:43committees? How do we get people into
  1793. 1:04:45the party
  1794. 1:04:46stronghold positions that really matter
  1795. 1:04:48and scrutinize where women run.
  1796. 1:04:51And then I think like something like
  1797. 1:04:52this Juanitas rule in Mexico tells you
  1798. 1:04:55that
  1799. 1:04:56if all that fails, you want to design
  1800. 1:04:57policies to limit avenues of reversal.
  1801. 1:05:01So, let me just end by putting forward
  1802. 1:05:03some set of questions that I think are
  1803. 1:05:05at the research and policy frontier.
  1804. 1:05:09So, the first three come from Kate's. Uh
  1805. 1:05:11you know, what interventions and
  1806. 1:05:12policies are going to induce better
  1807. 1:05:13people to run for public office? I think
  1808. 1:05:15this is an evergreen question.
  1809. 1:05:18I think a question that I think
  1810. 1:05:19researchers have seen increasingly as
  1811. 1:05:21important is how do we actually help
  1812. 1:05:23them get through gatekeepers? You can
  1813. 1:05:25motivate
  1814. 1:05:26citizens to want to run, but what if
  1815. 1:05:28they're completely stemmed through the
  1816. 1:05:30gatekeepers?
  1817. 1:05:32And then for voters, how do we
  1818. 1:05:35understand the trade-off that voters
  1819. 1:05:36have between balance, group identity,
  1820. 1:05:38and ideology? And today more than ever
  1821. 1:05:40this is a question that seems to be
  1822. 1:05:42extremely important in understanding
  1823. 1:05:44whether democracy will work.
  1824. 1:05:46Turning to quotas,
  1825. 1:05:48uh
  1826. 1:05:49how do we ensure that quota design stays
  1827. 1:05:51ahead of circumvention?
  1828. 1:05:53I think this is
  1829. 1:05:55you know, I think economists love
  1830. 1:05:56thinking about unintended consequences,
  1831. 1:05:59so I think we can write
  1832. 1:06:00more and more sophisticated papers
  1833. 1:06:02trying to see how it can be gamed, but
  1834. 1:06:05from a policy perspective, we really
  1835. 1:06:06want to try to think about what can be
  1836. 1:06:08done to give the world the fairest
  1837. 1:06:10chance to reduce bias and ensure that
  1838. 1:06:15kind of societal externalities are
  1839. 1:06:16incorporated.
  1840. 1:06:18Uh how long how long should
  1841. 1:06:21uh quotas last for? If we think that
  1842. 1:06:25we belief is the main channel,
  1843. 1:06:27how much exposure is needed? And that
  1844. 1:06:29may also help with the political
  1845. 1:06:31viability of introducing quotas.
  1846. 1:06:34And then finally, trying to understand a
  1847. 1:06:36little bit from the perspective of
  1848. 1:06:37voters,
  1849. 1:06:38you know, what signals update their
  1850. 1:06:40beliefs? What perpetuates the status
  1851. 1:06:42quo?
  1852. 1:06:43So, these are some of the questions we
  1853. 1:06:44wanted to leave you with and uh
  1854. 1:06:47thank you very much and we'll open it up
  1855. 1:06:48now for questions. Let me stop sharing.
  1856. 1:06:54>> Thanks so much, Rohini and Kate. Um
  1857. 1:06:58I'll first ask the panel if anyone has a
  1858. 1:07:00question, please raise your hand. And if
  1859. 1:07:03there's anyone in the audience that
  1860. 1:07:04would like to ask one of your questions
  1861. 1:07:06live, um you can raise your hand as well
  1862. 1:07:08and I can select a few more, um, to be
  1863. 1:07:12to be panelists and then we'll just kind
  1864. 1:07:13of go back and forth like we normally
  1865. 1:07:15do.
  1866. 1:07:16Um, let's start first with Andrea.
  1867. 1:07:20>> Uh, hi everyone. Thank you very much for
  1868. 1:07:22the presentation. They were really
  1869. 1:07:23interesting. I think I learned a lot.
  1870. 1:07:25Uh, I had a question about
  1871. 1:07:26representation. Uh, I'm from Peru and
  1872. 1:07:29something that typically happens is that
  1873. 1:07:31now illegal economies are prominent. So,
  1874. 1:07:33technically when they choose politicians
  1875. 1:07:36that have uh, illegal connections, they
  1876. 1:07:38are being good representation but at the
  1877. 1:07:40same time they are producing negative,
  1878. 1:07:43uh,
  1879. 1:07:45externalities for the
  1880. 1:07:47country as a whole. So, uh, I was
  1881. 1:07:50thinking how do these like illegal ties
  1882. 1:07:53or uh,
  1883. 1:07:54negative externalities produced by by
  1884. 1:07:59uh, local representation
  1885. 1:08:01can be asserted as something positive or
  1886. 1:08:04negative because technically you have
  1887. 1:08:05representation but bad outcomes. Thank
  1888. 1:08:08you.
  1889. 1:08:12>> I I guess I I could jump in quickly on
  1890. 1:08:15that one. I mean, I think that's sort of
  1891. 1:08:17a
  1892. 1:08:17what we talked about is this question
  1893. 1:08:19like when, if, where is there a
  1894. 1:08:22trade-off between representation and
  1895. 1:08:24quality? And and you're suggesting one
  1896. 1:08:26where it seems pretty obvious that there
  1897. 1:08:27is, right? So, if you have like large
  1898. 1:08:30criminal element, giving them
  1899. 1:08:32representation is coming at a real cost
  1900. 1:08:34for selection on quality if they're
  1901. 1:08:35promoting, you know, bad policies and
  1902. 1:08:37have negative externalities on the
  1903. 1:08:38economy. So, I think that's a great
  1904. 1:08:39example where you would be really
  1905. 1:08:40worried about that trade-off.
  1906. 1:08:47>> Great. Thank you. Um, there's a question
  1907. 1:08:50in the Q&A from Sierra Wang.
  1908. 1:08:54Uh, she says in countries with autocracy
  1909. 1:08:59or in her case in countries like China
  1910. 1:09:01where political selection is driven by
  1911. 1:09:03institutional appointment rather than
  1912. 1:09:04popular election,
  1913. 1:09:06gender targets often lead some in the
  1914. 1:09:08public to view female officials as quota
  1915. 1:09:11fillers. I think to be fair, even in the
  1916. 1:09:14US, in places where there are democracy,
  1917. 1:09:16people can can view that or have a
  1918. 1:09:18similar view.
  1919. 1:09:20Um,
  1920. 1:09:21does the positive learning effect of
  1921. 1:09:24quotas require a competitive election
  1922. 1:09:26setting to prove um, valiance? And what
  1923. 1:09:29are your more general thoughts around
  1924. 1:09:32um,
  1925. 1:09:33your research in auto- autocratic
  1926. 1:09:35settings?
  1927. 1:09:37>> Yeah, it's a it's a great question.
  1928. 1:09:39Uh, and I'll just start by giving an
  1929. 1:09:41example of something that
  1930. 1:09:43I think I saw, uh, when I was once I was
  1931. 1:09:46covering, uh,
  1932. 1:09:48election campaigning by women, you know,
  1933. 1:09:50running in quota seats. Uh,
  1934. 1:09:53my first reaction was to be very
  1935. 1:09:54disparate when I saw one of the women
  1936. 1:09:56campaigning with a picture of her
  1937. 1:09:58husband next to her, who was the person
  1938. 1:09:59who had the seat before it had been kind
  1939. 1:10:01of
  1940. 1:10:02put up close for quotas. And then I went
  1941. 1:10:05to talk to her afterwards, and she was
  1942. 1:10:06like, you know, in a very conservative
  1943. 1:10:08society, the only way I can be
  1944. 1:10:10competitive is to show that I'm not
  1945. 1:10:12threatening the norm. And so, once I'm
  1946. 1:10:14elected, I can I know I can do what I
  1947. 1:10:16want, but for the process, you know, I
  1948. 1:10:18have to kind of be part of the system.
  1949. 1:10:21So, I think it's something that requires
  1950. 1:10:23more research. There is certainly, I
  1951. 1:10:26think it's certainly the case that
  1952. 1:10:28uh, trying to directly tackle, uh, norms
  1953. 1:10:31by
  1954. 1:10:33putting, uh,
  1955. 1:10:35counter-stereotypic examples of say
  1956. 1:10:36women running for seats through quotas
  1957. 1:10:38can very much immediately lead to an
  1958. 1:10:41easy portrayal of them as
  1959. 1:10:43quota-protected women, uh, who don't do
  1960. 1:10:46much other than what say their husbands
  1961. 1:10:48want or aren't as able. Uh,
  1962. 1:10:51I think the two counters are a lot of
  1963. 1:10:53the evidence, for for instance, the
  1964. 1:10:54evidence I talked about from Sweden, the
  1965. 1:10:56evidence I talked about from India,
  1966. 1:10:57shows that that doesn't seem to be the
  1967. 1:10:58case. So, I think there is anecdotal
  1968. 1:11:01evidence versus this. However, on the
  1969. 1:11:03other hand, I would say what is true,
  1970. 1:11:05especially in the case of India, is that
  1971. 1:11:06over time, the amount of resources going
  1972. 1:11:09through local governments has increased
  1973. 1:11:10a lot. And so, I think, you know, why do
  1974. 1:11:13I mean, it's first it's an interesting
  1975. 1:11:15question, why do male politicians allow
  1976. 1:11:17gender quotas to get passed? You know,
  1977. 1:11:20in India, we have not been able to pass
  1978. 1:11:22or have implementation of gender quotas
  1979. 1:11:23at the national level.
  1980. 1:11:26Partly because perhaps they're seen as
  1981. 1:11:27very I mean, they're not passed, but
  1982. 1:11:28they haven't been implemented. It's seen
  1983. 1:11:30as this very valuable at the when they
  1984. 1:11:32were introduced at the local level, that
  1985. 1:11:34was a point in time when they weren't
  1986. 1:11:35seen as very valuable. Now they are.
  1987. 1:11:37There's a lot of money going through
  1988. 1:11:39village councils. And so, there's
  1989. 1:11:40perhaps more potential to usurp them.
  1990. 1:11:44I think
  1991. 1:11:45some work like political scientists like
  1992. 1:11:46Soledad Peralman have been doing is to
  1993. 1:11:49argue that
  1994. 1:11:50the these kind of programs are
  1995. 1:11:52successful when they are backed by
  1996. 1:11:55community measures to create collectives
  1997. 1:11:58of women who can come together. So,
  1998. 1:12:00things like self-help groups or other
  1999. 1:12:02ways of bringing women together means
  2000. 1:12:03that's not just a single woman kind of
  2001. 1:12:05trying to run in a very male society,
  2002. 1:12:07but feels that there are also other
  2003. 1:12:09systems. And I think that's right. You
  2004. 1:12:11can't you have to
  2005. 1:12:13at the same time as putting these
  2006. 1:12:14political quotas in place, you want to
  2007. 1:12:16think about what you can do to
  2008. 1:12:18strengthen the role
  2009. 1:12:20of the collective available to the
  2010. 1:12:22women.
  2011. 1:12:26>> Hello. Can I ask a question, ma'am,
  2012. 1:12:27directly to you?
  2013. 1:12:31>> Hello.
  2014. 1:12:31>> Sure, Kanchan. Go ahead.
  2015. 1:12:34>> Yeah, ma'am, I am from an India,
  2016. 1:12:36particularly from West Bengal. I'm a
  2017. 1:12:39civil servant, has been working in this
  2018. 1:12:41field, particularly the women
  2019. 1:12:42empowerment, for the last 10 years. My
  2020. 1:12:45point is that in one kind of an negative
  2021. 1:12:48aspect that we have seen
  2022. 1:12:51I have seen in the many cases that
  2023. 1:12:53during the panchayat visiting as a civil
  2024. 1:12:55servant that that you have raised a
  2025. 1:12:58question that an woman have taken their
  2026. 1:13:00picture of the male and male are taking
  2027. 1:13:03and dictating the woman what to do what
  2028. 1:13:05not to do. Being a researcher what could
  2029. 1:13:07be your suggestions in this field for
  2030. 1:13:10the particular woman empowerment through
  2031. 1:13:12the pushing quota.
  2032. 1:13:14>> I think what I was saying was that I
  2033. 1:13:16think we have to this is where research
  2034. 1:13:18on evidence becomes valuable. You can
  2035. 1:13:20look at that and say you know it looks
  2036. 1:13:21terrible but sometimes when you look at
  2037. 1:13:23the data you realize that's not the only
  2038. 1:13:25thing that's going on. That somehow
  2039. 1:13:27when you look at the actual policies
  2040. 1:13:29being passed they do seem to have been
  2041. 1:13:32moved a bit towards women maybe not as
  2042. 1:13:34much as they could have been
  2043. 1:13:35but I think the one of the most
  2044. 1:13:36important things you can do is to have
  2045. 1:13:38supportive organizations like self-help
  2046. 1:13:41groups like others that mean that it's
  2047. 1:13:43not a woman leader is not functioning in
  2048. 1:13:45a vacuum.
  2049. 1:13:48>> Thank you ma'am. Could you suggest
  2050. 1:13:50certain books and articles that can be
  2051. 1:13:52published and that is for further
  2052. 1:13:54development in this area?
  2053. 1:13:56Could you suggest some books and
  2054. 1:13:57articles? Okay.
  2055. 1:13:59>> I think there's some readings that would
  2056. 1:14:00be helpful that I think have been
  2057. 1:14:01provided already on the
  2058. 1:14:04>> Yes. Thank you so for your eye-opening
  2059. 1:14:06presentation. Thank you ma'am.
  2060. 1:14:09>> Thank you. I shared the link in the chat
  2061. 1:14:13and I I'll share that again by the end
  2062. 1:14:15but they're all the past reading lists
  2063. 1:14:18including Remi and Kate's
  2064. 1:14:21are are available there so you can check
  2065. 1:14:23those out.
  2066. 1:14:25Sanjana, would you like to ask your
  2067. 1:14:26question?
  2068. 1:14:29>> Yeah.
  2069. 1:14:30Thank you Professor Alswel this
  2070. 1:14:32wonderful presentation. I think my I'm
  2071. 1:14:34forcing a PhD candidate at Duke studying
  2072. 1:14:37political economy of implementation
  2073. 1:14:40of environment and development policies
  2074. 1:14:42but I was very interested in two points
  2075. 1:14:44that were made
  2076. 1:14:46in the end slides.
  2077. 1:14:47One was about, you know, thinking about
  2078. 1:14:49targeting the selectorate.
  2079. 1:14:51Um,
  2080. 1:14:52so when we look at these effects of
  2081. 1:14:54good, positive effects of women leaders
  2082. 1:14:57on provision of public services,
  2083. 1:15:00how can we think about the interaction
  2084. 1:15:02of female leaders with
  2085. 1:15:04with junior political leaders and senior
  2086. 1:15:06political leaders? In some sense, you
  2087. 1:15:09know, the point of targeting the
  2088. 1:15:10selectorate. And also their interaction
  2089. 1:15:12with
  2090. 1:15:13uh, bureaucrats. Because the provision
  2091. 1:15:16of public services is happening through
  2092. 1:15:18them. So,
  2093. 1:15:20is there any, uh,
  2094. 1:15:21like, is there any work on thinking
  2095. 1:15:23about that interaction that once you
  2096. 1:15:25select female leaders, they interact in
  2097. 1:15:27a certain way to push those boundaries
  2098. 1:15:29or are they still,
  2099. 1:15:31um, you know, uh, uh,
  2100. 1:15:32these local institutions are still
  2101. 1:15:34stifling their, you know, potential to
  2102. 1:15:37actually attain the kind of public goods
  2103. 1:15:38expansion that they want for
  2104. 1:15:41females. And the second point about, um,
  2105. 1:15:43uh, future questions was the, you know,
  2106. 1:15:47dynamic effects of quotas. Like quotas
  2107. 1:15:49for how long?
  2108. 1:15:50And
  2109. 1:15:52um,
  2110. 1:15:53um, how I was thinking about this was
  2111. 1:15:55that can we can the length of quotas in
  2112. 1:15:57the system affect both party dynamics,
  2113. 1:16:01um, and household dynamics of voting?
  2114. 1:16:05Um, and like, how do we how do we think
  2115. 1:16:07through that if if, uh, to sort of like
  2116. 1:16:10build a question around this for future
  2117. 1:16:12research?
  2118. 1:16:13Thank you.
  2119. 1:16:17>> I can answer quickly on the selectorate
  2120. 1:16:19one and then pass Rohini for the
  2121. 1:16:20duration of quota. So, so there are
  2122. 1:16:22papers that show like if you put women
  2123. 1:16:24on the selection committee, more women
  2124. 1:16:27candidates go through, right? So, so
  2125. 1:16:28that's like a very clear
  2126. 1:16:31uh, policy that that leads to changes in
  2127. 1:16:33the identity of who gets selected. I
  2128. 1:16:35think your point about, you know,
  2129. 1:16:36working upwards and downwards, like
  2130. 1:16:38junior, more junior, more female, you
  2131. 1:16:40know, that's kind of mentors and groups
  2132. 1:16:42of women. Rohini and co-authors are
  2133. 1:16:43doing work on, you know, bringing women
  2134. 1:16:45politicians together so they can help
  2135. 1:16:47each other.
  2136. 1:16:48I think on the how politicians interact
  2137. 1:16:52with bureaucrats. So, not specific on
  2138. 1:16:55the agenda angle, but Pierre Raffler has
  2139. 1:16:56an interesting paper on this in Uganda
  2140. 1:16:58if you want to just check out how some
  2141. 1:17:00of the things to think about when local
  2142. 1:17:02politicians are overseeing local
  2143. 1:17:04bureaucrats. And Rohini, I'll let you
  2144. 1:17:05talk to the quota one.
  2145. 1:17:07>> I think of the dynamics of quotas
  2146. 1:17:10this
  2147. 1:17:11a decreasing sense that, you know, as
  2148. 1:17:14once you have quotas, there's obviously
  2149. 1:17:15both there's a bias that gets changed,
  2150. 1:17:18but there also, hopefully over time,
  2151. 1:17:21underlying uh
  2152. 1:17:24investments such things like educational
  2153. 1:17:25investments change. So, a good example
  2154. 1:17:27is if you think about education,
  2155. 1:17:29the gender gap in education in both
  2156. 1:17:30settings are now close to reversed. And
  2157. 1:17:33so, that the the flip question arises,
  2158. 1:17:35does this mean that we need to have
  2159. 1:17:37quotas offered in the opposite
  2160. 1:17:39direction? Uh and you know, there are
  2161. 1:17:41some settings, for instance, there's a
  2162. 1:17:43very nice paper on Finland that shows
  2163. 1:17:45that uh
  2164. 1:17:47gender quotas for uh primary school
  2165. 1:17:50teachers that favor men had very
  2166. 1:17:52positive effects because both, you know,
  2167. 1:17:54male and uh female kids require role
  2168. 1:17:57models.
  2169. 1:17:58At the same time, uh gender quotas that
  2170. 1:18:02uh perpetuate
  2171. 1:18:04potentially that are not merit-based.
  2172. 1:18:06So, for instance, there's another paper
  2173. 1:18:07saying that in China,
  2174. 1:18:09uh when they introduced meritocratic
  2175. 1:18:11uh exams for tax collectors, uh women
  2176. 1:18:14started doing much better. So, then they
  2177. 1:18:16started introducing some amount of
  2178. 1:18:18quotas for men, but that just kind of
  2179. 1:18:21led back to old boy cronyism. So, I
  2180. 1:18:23think kind of there is going to be no
  2181. 1:18:25single answer for how long you should
  2182. 1:18:27have a gender quota. It's going to
  2183. 1:18:28depend on how the underlying dynamics
  2184. 1:18:30change as well.
  2185. 1:18:32Uh
  2186. 1:18:33and it's going to I think it you you may
  2187. 1:18:35need to change the group you have it for
  2188. 1:18:36whether it's for men or for women, but I
  2189. 1:18:38think what you want to always kind of
  2190. 1:18:39think through is is there argument to
  2191. 1:18:41believe that there is some kind of
  2192. 1:18:42either belief bias or role model role or
  2193. 1:18:45externality
  2194. 1:18:46that is going to be served by the quota.
  2195. 1:18:52>> Right. Thank you so much.
  2196. 1:18:55>> Brilliant. Thank you.
  2197. 1:18:56>> Yes.
  2198. 1:18:57>> Um
  2199. 1:18:58there's
  2200. 1:18:59uh
  2201. 1:19:00a question in in the chat I think is is
  2202. 1:19:02linked to this
  2203. 1:19:04asking if
  2204. 1:19:05you know obviously
  2205. 1:19:07political selection is is
  2206. 1:19:09multi-dimensional.
  2207. 1:19:11Um
  2208. 1:19:12and uh
  2209. 1:19:14as we shift kind of the needle on
  2210. 1:19:18getting more women into government uh
  2211. 1:19:21there are some
  2212. 1:19:22people that are are wondering are there
  2213. 1:19:25any
  2214. 1:19:26um adverse effects
  2215. 1:19:29uh
  2216. 1:19:30if it's like for class or
  2217. 1:19:34um
  2218. 1:19:36diversity or you know certain
  2219. 1:19:38backgrounds that are are being
  2220. 1:19:40compensated for when there are more
  2221. 1:19:43women coming in are there um
  2222. 1:19:45other variables that are shifting
  2223. 1:19:47downward and if so how can we try to
  2224. 1:19:51control for those?
  2225. 1:19:57>> Uh
  2226. 1:19:58let me say one thing and then hand it to
  2227. 1:19:59Kate and I think this question about uh
  2228. 1:20:02is is central to representative
  2229. 1:20:03democracy right? Very often anything
  2230. 1:20:06you're going to do to represent a group
  2231. 1:20:07is going to take away from another.
  2232. 1:20:09There are some cases that I think I
  2233. 1:20:10tried to highlight those where we think
  2234. 1:20:12there are positive externalities where
  2235. 1:20:13societal gains
  2236. 1:20:15may be large enough.
  2237. 1:20:17But in general I think we have to just
  2238. 1:20:18recognize at the heart of it
  2239. 1:20:20representation will have some amount of
  2240. 1:20:24uh
  2241. 1:20:24you know gains and losses. I mean Kate
  2242. 1:20:26and California they're about to think
  2243. 1:20:28about a billionaire tax soon which I
  2244. 1:20:30think is going to be one of the very
  2245. 1:20:31heated examples of this. let her speak
  2246. 1:20:33to it a bit more but I think we have to
  2247. 1:20:35recognize that
  2248. 1:20:37kind of class conflict and gender
  2249. 1:20:39conflict may not be that different in
  2250. 1:20:41the end.
  2251. 1:20:42And Kate, what do you
  2252. 1:20:45>> Yeah, I mean I think you can think about
  2253. 1:20:47so the one is if you privilege
  2254. 1:20:49representation of any kind, what are you
  2255. 1:20:51trading off, right? So we were talking a
  2256. 1:20:53little bit, you know, with the Andrea's
  2257. 1:20:54example about, you know, quality and and
  2258. 1:20:57illegal activity. I mean I think so like
  2259. 1:21:00the the California is we have, you know,
  2260. 1:21:02we all have an election coming up but we
  2261. 1:21:04have these this particular procedure
  2262. 1:21:06where you can put a proposal on the
  2263. 1:21:09ballot that goes directly for voters to
  2264. 1:21:11decide, right? So the billionaires taxes
  2265. 1:21:13is this one that's that's getting a lot
  2266. 1:21:14of attention and then, you know, the
  2267. 1:21:16question is
  2268. 1:21:18is that a good policy? Do voters have
  2269. 1:21:19good information to adjudicate like
  2270. 1:21:22whether this is a good idea or not? And
  2271. 1:21:23there's many intricacies to this policy
  2272. 1:21:26but it comes down to the idea of like
  2273. 1:21:29representation, I mean you are asking
  2274. 1:21:31people to make decisions on your behalf.
  2275. 1:21:32So the the thing that maximizes
  2276. 1:21:35the idea of representation, one person
  2277. 1:21:36one vote, is direct democracy, which is
  2278. 1:21:38what California is experimenting with
  2279. 1:21:41right now and for some types of issues,
  2280. 1:21:44you feel like actually the average
  2281. 1:21:45person A is very well informed,
  2282. 1:21:47understands the tradeoffs and their
  2283. 1:21:49preferences and the intensity of their
  2284. 1:21:50preferences are a great way to make the
  2285. 1:21:52decision. There are others that are so
  2286. 1:21:55convoluted and arcane and involve these
  2287. 1:21:57tradeoffs that, you know,
  2288. 1:21:59even like the most sophisticated voter
  2289. 1:22:01really struggles with and those really
  2290. 1:22:03aren't well adjudicated by one person
  2291. 1:22:06one vote. So I I think you can think
  2292. 1:22:07about representation as this, you know,
  2293. 1:22:09scale from do you want everyone to have
  2294. 1:22:11to make every decision to thinking
  2295. 1:22:13about, okay, we're choosing some people
  2296. 1:22:14to make decisions on our behalf. What is
  2297. 1:22:17important to us in terms of who's at the
  2298. 1:22:19table and what are their competencies?
  2299. 1:22:25>> Perfect, thank you.
  2300. 1:22:27Um
  2301. 1:22:28Chikezie, I'll go over to you for your
  2302. 1:22:30question.
  2303. 1:22:34>> Okay, thank you so much for your
  2304. 1:22:35lectures.
  2305. 1:22:36I'm more particularly interested in
  2306. 1:22:39uh political representation in West
  2307. 1:22:41Africa. I'm currently in Nigeria, so
  2308. 1:22:42I'll ask
  2309. 1:22:44uh how much does political
  2310. 1:22:45representation matter for development
  2311. 1:22:47when government institutions are weak?
  2312. 1:22:49For instance, can we having a better
  2313. 1:22:51representation lead to economic uh
  2314. 1:22:54change if the institutions responsible
  2315. 1:22:56to enforcing these uh
  2316. 1:22:58policies uh cannot deliver?
  2317. 1:23:02Don't have Does not have the capacity to
  2318. 1:23:03deliver.
  2319. 1:23:06>> Maybe I I can start a little bit on
  2320. 1:23:08that. So, I think
  2321. 1:23:10what what you're saying is like does a
  2322. 1:23:12representation of groups or or
  2323. 1:23:14individual people, can that have a
  2324. 1:23:17positive influence on government
  2325. 1:23:18performance when the overall structures
  2326. 1:23:20of government are weak, right? When you
  2327. 1:23:21have weak institutions, weak capacity?
  2328. 1:23:24So, I think a kind of interesting point
  2329. 1:23:26that that um Jones and Olken paper made
  2330. 1:23:30is that it it depends on both, right?
  2331. 1:23:34So, their their results are showing
  2332. 1:23:36you know, a single leader can have a
  2333. 1:23:38really large impact on on economic
  2334. 1:23:41policy, particularly when they face no
  2335. 1:23:43checks and balances from government,
  2336. 1:23:45right? So, an autocracy. And this is for
  2337. 1:23:47better and for worse, right? So, if you
  2338. 1:23:49have an autocrat that makes really bad
  2339. 1:23:50decisions, you're going to have very bad
  2340. 1:23:52macroeconomic impacts, but if you get a
  2341. 1:23:55great autocrat that makes really great
  2342. 1:23:57decisions, you can have you can have
  2343. 1:23:59positive impacts, right? So, I think the
  2344. 1:24:02idea of institutions and capacity, these
  2345. 1:24:05things are working together and are
  2346. 1:24:06tackling different dimensions of this.
  2347. 1:24:08So, I tend to think of like the
  2348. 1:24:10political institutions, like you know,
  2349. 1:24:12what is the selection and incentives
  2350. 1:24:13that is going to bring good people into
  2351. 1:24:15leadership? And then the capacity
  2352. 1:24:17question is
  2353. 1:24:18what is the state able to deliver the
  2354. 1:24:21policies that the leadership chooses,
  2355. 1:24:23right? And so I think your your question
  2356. 1:24:25is a good one because even if you have a
  2357. 1:24:27really great president who has a really
  2358. 1:24:29great policy platform, but the
  2359. 1:24:30ministries are so lacking in capacity
  2360. 1:24:32they can't deliver on it or there's no
  2361. 1:24:35government revenue,
  2362. 1:24:37the ability of the leader to implement
  2363. 1:24:39great policies is is going to be
  2364. 1:24:41constrained and I think that's that's
  2365. 1:24:43perhaps what you're you're worried
  2366. 1:24:44about.
  2367. 1:24:50>> Yes, that's what I worry about.
  2368. 1:24:52Thank you.
  2369. 1:24:54>> Yes.
  2370. 1:24:55>> Thanks, Chikezie.
  2371. 1:24:57Um yes, but
  2372. 1:24:58Sorry, one second. There's a couple
  2373. 1:25:01other questions in the chat that um
  2374. 1:25:05that I just wanted to touch on and part
  2375. 1:25:09part of I think what resonated for me
  2376. 1:25:11from your presentation was uh
  2377. 1:25:13essentially this idea that I
  2378. 1:25:15experience is the best teacher. And so
  2379. 1:25:19when we have an experience, we can see
  2380. 1:25:23uh
  2381. 1:25:24are my biases reinforced or are they
  2382. 1:25:26broken down?
  2383. 1:25:28Um and kind of relating to that,
  2384. 1:25:31Lutufullah Khan asked um whether there
  2385. 1:25:36is any longitudinal evidence of
  2386. 1:25:38interventions, whether educational or
  2387. 1:25:42participatory um that have helped
  2388. 1:25:45communities be more receptive to women's
  2389. 1:25:47leadership or significantly
  2390. 1:25:50shifted prevailing norms around
  2391. 1:25:52leadership. Um and maybe I'll throw in
  2392. 1:25:54kind of tribalism in there as well
  2393. 1:25:57around the social norms that Renee
  2394. 1:25:58talked on earlier.
  2395. 1:26:00Um whether there these are in fragile
  2396. 1:26:03settings or not. Um
  2397. 1:26:06In addition to experience, what other
  2398. 1:26:09um
  2399. 1:26:10things have have you guys seen that can
  2400. 1:26:12help shift that needle?
  2401. 1:26:19>> Wait, this is
  2402. 1:26:21and it's good to highlight it even
  2403. 1:26:22though
  2404. 1:26:23they don't come to mind the names don't
  2405. 1:26:25come to mind immediately. There's a
  2406. 1:26:25large cultural literature that
  2407. 1:26:28highlights different forms of kind of
  2408. 1:26:30pre-colonial
  2409. 1:26:32institutions that may have been positive
  2410. 1:26:35or not in favor of women.
  2411. 1:26:38I think you want to stay away from the
  2412. 1:26:41the trope that you know before
  2413. 1:26:42patriarchy there was matriarchy. I don't
  2414. 1:26:44think we have any evidence of that
  2415. 1:26:46overall but we certainly have variations
  2416. 1:26:48both because of
  2417. 1:26:51the kind of
  2418. 1:26:52occupational choices that men and women
  2419. 1:26:54made in different settings
  2420. 1:26:56and things like population density about
  2421. 1:26:59the relative roles that men and women
  2422. 1:27:01played outside the
  2423. 1:27:02household and that has often you know
  2424. 1:27:05translated over time matriarchy
  2425. 1:27:07matriarchal versus patriarchal
  2426. 1:27:08inheritance systems being a common one.
  2427. 1:27:10So
  2428. 1:27:11I think there's a there's a growing and
  2429. 1:27:13I encourage people to kind of go and
  2430. 1:27:15look for for those people in the culture
  2431. 1:27:18in the culture literature thinking about
  2432. 1:27:20it. There's a good handbook of cultural
  2433. 1:27:21economics that has some of these
  2434. 1:27:23references.
  2435. 1:27:27>> Yes, you mentioned inheritance. There's
  2436. 1:27:29a lot of good work on like what happens
  2437. 1:27:31when you give women property rights in
  2438. 1:27:32very unequal societies. So that's that's
  2439. 1:27:34a totally different set of policies but
  2440. 1:27:37we can also make some progress.
  2441. 1:27:41>> Thanks.
  2442. 1:27:42Benjamin over to you. Can you ask your
  2443. 1:27:45question?
  2444. 1:27:46>> Yes, thank you. So um thank you very
  2445. 1:27:49much for presentation. I'm Benjamin from
  2446. 1:27:51Freetown Sierra Leone. So I
  2447. 1:27:54was just
  2448. 1:27:56curious to ask how does a voting
  2449. 1:27:59a voting system affect the election
  2450. 1:28:01results and then eventually better
  2451. 1:28:03social economic and social political
  2452. 1:28:05outcomes. I'll give an example of
  2453. 1:28:07Sierra Leone has now a
  2454. 1:28:09wants to adopt Saudi Supreme Court
  2455. 1:28:11because there was
  2456. 1:28:12in the parliament of Sierra Leone as to
  2457. 1:28:14what system of voting should be
  2458. 1:28:16implemented. Whether it's the
  2459. 1:28:18proportional representation or the first
  2460. 1:28:19past the post. And then of course,
  2461. 1:28:22during the proportional representation
  2462. 1:28:23the voters have direct access to vote
  2463. 1:28:25who they want to vote in parliament and
  2464. 1:28:27in at state house. And then of course,
  2465. 1:28:29during the
  2466. 1:28:30at
  2467. 1:28:31in in in
  2468. 1:28:33in the PR system you only have to vote
  2469. 1:28:36for your political party and then of
  2470. 1:28:37course the political party would have to
  2471. 1:28:39choose
  2472. 1:28:40parliamentarians
  2473. 1:28:42that they will slot in based on the
  2474. 1:28:44percentage of votes they get. So, how
  2475. 1:28:46does
  2476. 1:28:47this pattern, these the the the election
  2477. 1:28:49process
  2478. 1:28:50the election rule affects the outcome
  2479. 1:28:53the social economic outcome and the
  2480. 1:28:54social political outcome?
  2481. 1:28:57And of course, what is the effect of
  2482. 1:28:59funding money, somebody that has money,
  2483. 1:29:01how does it affect the result?
  2484. 1:29:03Especially for sub-Saharan African
  2485. 1:29:05countries like Sierra Leone.
  2486. 1:29:07Thank you.
  2487. 1:29:09>> I can I can take that one. Benjamin
  2488. 1:29:11Kouchner, my buddy. Glad to have you
  2489. 1:29:13here.
  2490. 1:29:14Um
  2491. 1:29:14>> Thank you.
  2492. 1:29:16>> [laughter]
  2493. 1:29:17>> So, this is a huge change, right? So, we
  2494. 1:29:19actually some of these same co-authors
  2495. 1:29:21that um I've been working with for a
  2496. 1:29:22long time, we we did another another set
  2497. 1:29:25of experiments in the most recent
  2498. 1:29:27election where they made the switch to
  2499. 1:29:29PR.
  2500. 1:29:30And I think
  2501. 1:29:32So, this is coming back to like how does
  2502. 1:29:35political selection fit into the broader
  2503. 1:29:37system of political institutions and and
  2504. 1:29:39the rules and procedures through the way
  2505. 1:29:41elections are are determined, right? So,
  2506. 1:29:45there's some very high-level differences
  2507. 1:29:47between first past the post majoritarian
  2508. 1:29:50and proportional representation, right?
  2509. 1:29:52So,
  2510. 1:29:53typically people think about well, if
  2511. 1:29:55you switch to PR you have space for
  2512. 1:29:57smaller parties like more specific
  2513. 1:30:00interest to come through like green
  2514. 1:30:01parties, right? So, you get a lot more
  2515. 1:30:02green parties in in Europe than you do
  2516. 1:30:05in the United States. You you have this
  2517. 1:30:06plethora of sort of parties with a lot
  2518. 1:30:08on the ideological spectrum.
  2519. 1:30:10I think um
  2520. 1:30:13So,
  2521. 1:30:14the trade-off is that well, the other
  2522. 1:30:17thing there's variations in how PR is
  2523. 1:30:19done, right? So, so the PR system that
  2524. 1:30:22was used in Sierra Leone in the last
  2525. 1:30:23election is a closed list.
  2526. 1:30:26And the closed list means the party
  2527. 1:30:28picks the candidates and ranks them.
  2528. 1:30:30And then and then like you said, you're
  2529. 1:30:31right, you just choose between party A
  2530. 1:30:33and party B.
  2531. 1:30:34Other countries do PR with an open list.
  2532. 1:30:37So, voters can both vote for the party
  2533. 1:30:39and then within the party they want,
  2534. 1:30:40they can vote for individual candidates.
  2535. 1:30:43Right? So,
  2536. 1:30:45one big trade-off when you have the
  2537. 1:30:47closed list is your your severing the
  2538. 1:30:49connection between individual voter
  2539. 1:30:51choices over individual candidates.
  2540. 1:30:54Right? So, if it's a closed list, voters
  2541. 1:30:57have no direct say over the performance
  2542. 1:30:59of individuals, right? So, that's going
  2543. 1:31:01to cut voters out from the
  2544. 1:31:03accountability channel and from the
  2545. 1:31:05selection and quality channel at the
  2546. 1:31:07individual candidate level. And it puts
  2547. 1:31:09all of that back into the hands of
  2548. 1:31:12parties.
  2549. 1:31:14So, I think what one of the things we're
  2550. 1:31:16seeing is that
  2551. 1:31:18in Sierra Leone in particular, when they
  2552. 1:31:19did this big shift to PR, one of the
  2553. 1:31:22biggest changes that we see is that
  2554. 1:31:26incumbents reran at much higher levels
  2555. 1:31:29than they have historically over the
  2556. 1:31:31last 20 years in Sierra Leone. And they
  2557. 1:31:33won at much, much higher rates than they
  2558. 1:31:36ever have before, right? So, then you're
  2559. 1:31:38thinking about okay, the party is making
  2560. 1:31:40decisions that reflect things perhaps
  2561. 1:31:43beyond what voters want, right? So,
  2562. 1:31:45maybe the the party is making decisions
  2563. 1:31:47over incumbents in a way that at least
  2564. 1:31:49in the previous system, voters were not
  2565. 1:31:51rewarding incumbents as much as they are
  2566. 1:31:53now. So, I think
  2567. 1:31:55um I think your question is that these
  2568. 1:31:57issues of of selection and also of
  2569. 1:31:59accountability incentives um they're
  2570. 1:32:02very strongly determined by the overall
  2571. 1:32:05electoral system and there's some very
  2572. 1:32:07sharp trade-offs, positives and
  2573. 1:32:09negatives from moving between one system
  2574. 1:32:11and the next.
  2575. 1:32:13But great great question and a and a
  2576. 1:32:14live issue in Sierra Leone about whether
  2577. 1:32:17they'll stick with this or whether
  2578. 1:32:18they'll change the system
  2579. 1:32:20for the next election.
  2580. 1:32:24>> Great. Well, thank you so much and I
  2581. 1:32:26just wanted to to fight everybody
  2582. 1:32:30will post these slides along with the
  2583. 1:32:32recording of this on the website. I
  2584. 1:32:34would encourage everyone to go back look
  2585. 1:32:36over the slides especially those those
  2586. 1:32:38last couple.
  2587. 1:32:39Um
  2588. 1:32:41just talking about what the most
  2589. 1:32:43pressing questions are in the field. So
  2590. 1:32:44those that are in a PhD or thinking
  2591. 1:32:47about dissertations, it's it's great to
  2592. 1:32:49understand kind of what the the key
  2593. 1:32:51questions are right now and and where
  2594. 1:32:54kind of the gaps are that that need to
  2595. 1:32:55be focused on. So this is a really
  2596. 1:32:57helpful resource for that.
  2597. 1:33:00Um thank you Kate, thank you Rohini and
  2598. 1:33:03everyone.
  2599. 1:33:03>> Hello sir.
  2600. 1:33:05>> Sorry, I'm sorry.
  2601. 1:33:06>> ask a question?
  2602. 1:33:08>> No, sorry. We're out of time now.
  2603. 1:33:11But thank you everyone and we'll see you
  2604. 1:33:12next week for our eighth lecture on
  2605. 1:33:16conflict and fragility.
  2606. 1:33:18>> Thanks for your watch.
  2607. 1:33:19Thanks so much everybody.
  2608. 1:33:22Have a good day. Bye.

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