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BREAD-IGC virtual PhD-level course 2026 | Lecture 5 Politicians and Political Agency — Transcript

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  1. 0:04Welcome everyone. Uh we're back with
  2. 0:06another lecture in the series of bread
  3. 0:10IGC course on political economy for
  4. 0:132026. This is the fifth lecture in the
  5. 0:16series and as you can see we have um
  6. 0:19Fred and Claudio back with us who are
  7. 0:23conveners of the course and and shared
  8. 0:25um a lot of what we heard in our kind of
  9. 0:28initial introductory lecture but this
  10. 0:31lecture specifically will be on
  11. 0:33politicians and political agency. So um
  12. 0:36just maybe a little bit of background uh
  13. 0:39professor Fenan is a professor of
  14. 0:42economics and business business
  15. 0:43administration at UC Berkeley and
  16. 0:46Professor Ferras teaches economics at
  17. 0:49University of British Columbia and uh PU
  18. 0:53Rio. We're really excited to have both
  19. 0:55of them here. Um, as in the past, if
  20. 0:59you're interested in being a live
  21. 1:01participant, so you can have your video
  22. 1:03on and ask questions kind of face to
  23. 1:06face in the Q&A session, please just
  24. 1:08raise your hand and I'll randomly select
  25. 1:1110 to 15 people. Uh, and to address some
  26. 1:15of the common questions up front, we do
  27. 1:19um require that there are 10 out of 12
  28. 1:22attendances to receive the certificate.
  29. 1:26your attendance is taken automatically.
  30. 1:28So you please don't send into the Q&A
  31. 1:30box, hi, I'm here, my name is. We It's
  32. 1:34all taken care of. Um, if you're
  33. 1:37interested in reading lists for next
  34. 1:39week, they're on the website. If you're
  35. 1:41interested in this lecture or past
  36. 1:43lectures for slides or the recordings of
  37. 1:45the lectures itself, those are on the
  38. 1:47website as well. And I'll put that link
  39. 1:49in the chat.
  40. 1:51I think that's everything. So, uh, thank
  41. 1:53you for being here. I hope everyone
  42. 1:56benefits and we can all learn together.
  43. 1:58And I'll pass over to Fred.
  44. 2:01>> Great. Thank you, Caleb. Hi, everyone.
  45. 2:03Um, welcome. I hope you're enjoying the
  46. 2:07course so far. Let me go ahead and share
  47. 2:10my screen here.
  48. 2:13Um, yeah. So, uh, we're going with, you
  49. 2:17know, so Claudia and I are going to be
  50. 2:18talking about politicians, political
  51. 2:20agency, and political accountability.
  52. 2:24Um so by
  53. 2:27uh hopefully you can see my screen. Um
  54. 2:31so by by way of motivation what I would
  55. 2:34like to show you is this graph here.
  56. 2:37Um so what we see is that during the
  57. 2:40past 50 years much of the developing
  58. 2:42world has transition to democracy.
  59. 2:46And even though we've had some recent
  60. 2:48backsliding, um over half the world's
  61. 2:52nations are classified as either liberal
  62. 2:54or electoral democracies, uh which are
  63. 2:57characterized by sort of these
  64. 2:59reasonably free and fair elections and
  65. 3:02high levels of participation and you
  66. 3:04know competitive political party systems
  67. 3:06and so forth.
  68. 3:08And yet despite these democratic
  69. 3:11advances, what we see from the falling
  70. 3:15uh figures
  71. 3:17is that many democratic nations,
  72. 3:21particularly those that are less
  73. 3:23developed, the ones that I have kind of
  74. 3:25circled here,
  75. 3:27um
  76. 3:29struggle to deliver, you know, equitable
  77. 3:32access to resources or opportunities or
  78. 3:34basic, you know, basic essential public
  79. 3:36goods and services. And we can we can
  80. 3:38see that clearly when we in the upper
  81. 3:40graph where we plot the human
  82. 3:42development index and so forth. And we
  83. 3:45also see that in the um we also see that
  84. 3:49these lower income countries
  85. 3:52um are also characterized by having much
  86. 3:54more political corruption or
  87. 3:56clientalism. And even if we condition on
  88. 4:00you know GDP per capita we see a lot of
  89. 4:03variation in in these in in um in these
  90. 4:08what we would call political pathologies
  91. 4:10and so forth. Okay. Um so you know one
  92. 4:15question that we're trying to understand
  93. 4:17is is why do these democracies sort of
  94. 4:20malfunction?
  95. 4:22uh especially when you know one of the
  96. 4:24promise of of democracies is to be able
  97. 4:27to offer you know public goods and and
  98. 4:31uh and and and well-being. And what
  99. 4:34we're going to argue during the course
  100. 4:36of this lecture and we're going to also
  101. 4:38give you you know the tool you know the
  102. 4:40reasons for why we make this argument is
  103. 4:43you know is that democracies malfunction
  104. 4:46because of what we would call weak
  105. 4:47accountability uh mechanisms that fail
  106. 4:51to constrain the government's abuse of
  107. 4:53political power. And our argument is
  108. 4:56going to center around three sort of
  109. 4:59distinct yet related channels of
  110. 5:00accountability which have to do with uh
  111. 5:03what we would call vertical
  112. 5:04accountability
  113. 5:06um horizontal accountability and
  114. 5:09diagonal accountability. So the the
  115. 5:12notion of of vertical accountability
  116. 5:15um is the ability to to punish sort of
  117. 5:19uh hold politicians accountable uh at at
  118. 5:23the polls. uh whereas horizontal
  119. 5:26accountability has to do with the
  120. 5:28accountability that we often that we see
  121. 5:30with for instance the judiciary system
  122. 5:33or the legal system and then uh the and
  123. 5:37then um uh diagonal accountability has
  124. 5:40to do with you know civil society and uh
  125. 5:44media and those types of organization
  126. 5:46and their ability to hold government or
  127. 5:49politicians to account. And so those are
  128. 5:51the three different uh dimensions of of
  129. 5:54accountability. And the way we're going
  130. 5:56to introduce these different is it uh
  131. 5:59these different notions of
  132. 6:00accountability is in the context of a
  133. 6:03political agency framework. And so I
  134. 6:05know that that Patrick Francois went
  135. 6:08over a class of models uh a couple
  136. 6:11lectures ago. Um and political agency
  137. 6:14models which uh were featured which you
  138. 6:17know he introduced through I think
  139. 6:19through uh the Farahan model or or at
  140. 6:21least mentioned it um is is a is one of
  141. 6:25the core classes of models that we see
  142. 6:28uh in political economy these days. And
  143. 6:31the notion of a political agency model
  144. 6:34is that you have two kind of you have
  145. 6:37two actors. You have uh what we'd call
  146. 6:39the we'd have the politician which we
  147. 6:41which would play the role as the of the
  148. 6:43agent and then we have the voter who
  149. 6:46would play the the role of the of the
  150. 6:49principal. And uh and the reason why
  151. 6:52this this this model is interesting is
  152. 6:55that there's an incentive problem
  153. 6:57between these two actors. uh the
  154. 7:00politician has preferences that uh
  155. 7:04differ from that of the voters. For
  156. 7:06instance, maybe the politician wants to
  157. 7:09steal money from office whereas the
  158. 7:11voters wants the politicians to provide
  159. 7:14public goods instead instead. And so at
  160. 7:17the core of this model is this incentive
  161. 7:19problem that exists between politicians
  162. 7:21and voters.
  163. 7:23On top of that, politicians enjoy
  164. 7:26anformational advantage. Okay. And this
  165. 7:29be and this may be you know uh due to
  166. 7:32what we would call moral hazard or or
  167. 7:35monitoring in the sense that uh voters
  168. 7:38don't observe the actions of the
  169. 7:40politicians and as a result uh
  170. 7:43politicians will take advantage of this
  171. 7:46uh of this uh lack of information to act
  172. 7:49opportunistically.
  173. 7:51Um or another informationational
  174. 7:53advantage um that's you know not
  175. 7:55necessarily mutually exclusive either is
  176. 7:58one that we would call adverse election
  177. 8:00or or selection um which is that uh
  178. 8:04voters don't necessarily observe the the
  179. 8:07politician's type. And what do we mean
  180. 8:09by type? Well, that could be their level
  181. 8:12of honesty for instance or it could be
  182. 8:14their level of competence. Um and so you
  183. 8:18know and typically what voters want or
  184. 8:20what they need to do is they need to
  185. 8:22select the most competent policy maker
  186. 8:24or those whose motivations are most
  187. 8:27likely in tune with with what they want
  188. 8:29or what the public interest is. And the
  189. 8:32inability to observe this type of person
  190. 8:36also complicates the matters for voters
  191. 8:38in in in their choice to reelect an
  192. 8:42incumbent or not. And so how does how do
  193. 8:46voters solve this this uh these agency
  194. 8:50problems? Well, the the core mechanism
  195. 8:53in which they do that is through
  196. 8:55elections. Okay. And this is very
  197. 8:58different from a from a a class of of
  198. 9:03principal agent models that you see in
  199. 9:05economics more generally. Okay. So
  200. 9:07there's you know there's a long history
  201. 9:08of principal agent mo models typically
  202. 9:11when when thinking about you know firms
  203. 9:13managers and employees and this you know
  204. 9:16we've you know political economy took th
  205. 9:19those models and adapt them to uh to
  206. 9:22politics and the key difference between
  207. 9:25the standard principal agents models
  208. 9:27that principles here in in the context
  209. 9:30of of political agency have only a very
  210. 9:33crude incentive structure which is
  211. 9:35reelection. Whereas in the standard
  212. 9:38principal agent models, they can you
  213. 9:39know they'll have different contracts at
  214. 9:41their disposals. They can incentivize
  215. 9:43workers in different ways. Whereas here
  216. 9:46uh reelection is the only sort of
  217. 9:48incentive structure that voters can can
  218. 9:51impose on on on
  219. 9:54um on politicians uh with a few
  220. 9:57exceptions that I'm going to get into.
  221. 9:59And so the role of these elections is to
  222. 10:02achieve accountability. And as we
  223. 10:05mentioned in you know even in the very
  224. 10:07first lecture we hinted at this there
  225. 10:09are two different forms of
  226. 10:10accountability there's what we would
  227. 10:12call djury accountabilities which these
  228. 10:14are the formal rules that affect
  229. 10:17accountability a classic example would
  230. 10:19be like term limits so term limit you
  231. 10:21know if if you're in your final term
  232. 10:24term then you can't be reelected right
  233. 10:27and this is important because a lot of
  234. 10:30studies as Claudio is going to show have
  235. 10:32used sort of these djour jury forms of
  236. 10:35accountability, these formal rules, uh,
  237. 10:38in order to help identify the behavior
  238. 10:40of politicians and so forth. Uh, but
  239. 10:43there's also something else that we
  240. 10:44would call de facto account, de facto
  241. 10:46accountability. And the and these are,
  242. 10:48you know, what we would call real
  243. 10:50accountability in the sense that there
  244. 10:52are instances in which politicians can
  245. 10:55still displease voters. You know, they
  246. 10:58can still be corrupt. they can still
  247. 11:00engage in clientalism and all that stuff
  248. 11:03without the threat of of of real
  249. 11:06sanction. And this could and you know
  250. 11:08this could be because they do a lot of
  251. 11:09other stuff as well. And so that's what
  252. 11:12we would call de facto accountability.
  253. 11:15And so uh the key feature of any
  254. 11:17political agency model is is the
  255. 11:20importance of reelection incentives
  256. 11:24in shaping the behavior of uh incumbent
  257. 11:27politician. And as a result, as you can
  258. 11:29tell, this is going to require kind of a
  259. 11:31dynamic structure, right? There's going
  260. 11:33to be multiple periods uh in in these
  261. 11:36classes of models. Um before so before I
  262. 11:39introduce the model, I want to also
  263. 11:42describe a couple other sort of key
  264. 11:44modeling issues. And you know this is
  265. 11:47these are very important because
  266. 11:48depending on what you assume in terms of
  267. 11:50your in terms of these issues it may
  268. 11:53affect sort of our empirical strategy
  269. 11:56once we try and test these these models
  270. 11:58more formally. Um and so the first
  271. 12:01question is what is the the nature of
  272. 12:04uncertainty? Okay, what is the source?
  273. 12:05Is it that you can't perfectly observe
  274. 12:09the politician's act actions? Or maybe
  275. 12:12it's because you can't observe the
  276. 12:15politician's competency levels or
  277. 12:17motives.
  278. 12:18Or maybe there's even voter uncertainty
  279. 12:21about what the best policy or the exact
  280. 12:23policy that was implemented. So maybe
  281. 12:25voters don't even observe the policy
  282. 12:27that was implemented or, you know, or or
  283. 12:30the or their or their benefits from this
  284. 12:33policy because it takes too long. and
  285. 12:35and what you're going to see in the
  286. 12:36model that we're going to present is
  287. 12:38that there's going to be this
  288. 12:39uncertainty along all three of these
  289. 12:41dimensions.
  290. 12:42Um the other key issue is is what do
  291. 12:46politicians know that voters don't know?
  292. 12:48Because that provides what we would call
  293. 12:50a multitasking
  294. 12:52uh issues where you know maybe you know
  295. 12:56why do we why do you wonder why
  296. 12:58politicians always like to to um to
  297. 13:02build bridges? Well, it's because it's
  298. 13:04very observable. It's something that
  299. 13:06voters observe. What what when you know
  300. 13:09at the same time politicians are also in
  301. 13:11charge of, you know, making sure the
  302. 13:13water is clean, which is something
  303. 13:14that's less observable. So maybe you
  304. 13:17know because voters don't observe they
  305. 13:20observe the bridges more than the than
  306. 13:22you know the quality of the water
  307. 13:24politicians are going to divert their
  308. 13:26effort towards uh uh building bridges as
  309. 13:30opposed to making sure that the the
  310. 13:32water quality is is clean. And then the
  311. 13:35other component of the the other
  312. 13:37modeling issue that that is worth
  313. 13:39emphasizing is the fact that you know at
  314. 13:41the end of the day voters are going to
  315. 13:43vote you know during an election and
  316. 13:45they're going to vote retrospectively
  317. 13:47right so they're going to observe what
  318. 13:50what are what do you know either the
  319. 13:52actions or the utility of of what
  320. 13:54they've received um prior to making
  321. 13:57casting their vote. So they're not
  322. 13:59necessar necessarily forecasting out you
  323. 14:02know what they expect how they expect to
  324. 14:04be in the future and so forth. Okay.
  325. 14:09Okay. So, let me present uh this
  326. 14:11political agency model that's due to uh
  327. 14:15that's a a modification of of of what
  328. 14:17Bezley wrote in his book. And I know
  329. 14:19that that Tim uh gave a wonderful
  330. 14:22lecture last week, I believe. Um or
  331. 14:25yeah, I believe so. And um and so this
  332. 14:28is this is largely attributed to to to
  333. 14:31the wonderful work that he's done. And
  334. 14:33so, as I said, we're going to have two
  335. 14:36agent two actors in this model. There's
  336. 14:39going to be the the politician and then
  337. 14:41the voters. Um, as I mentioned before,
  338. 14:44these models are dynamic. So, we're
  339. 14:45going to need two periods.
  340. 14:48And then in each period, the politician
  341. 14:50is going to take one action. And, you
  342. 14:53know, we're going to denote that by EFT.
  343. 14:55And it's going to be an action that's
  344. 14:57either going to be a zero or a one. So,
  345. 14:58the pol so the politician is just going
  346. 15:00to choose zero one. We can think of this
  347. 15:02as like the politicians either going to
  348. 15:04provide good or you know work to provide
  349. 15:07goods or not. Um and then uh the payoffs
  350. 15:12of the voters and the politicians are
  351. 15:15going to depend on the state of the
  352. 15:17world. Okay. And then the state of the
  353. 15:19world is also only going to take on you
  354. 15:22know two values either a zero or a one.
  355. 15:26And and that's relevant for the
  356. 15:27following reason. uh first the
  357. 15:30politician only observes ST um before
  358. 15:35they need to act and so you know right
  359. 15:38away we're we're introducing some uh
  360. 15:41some uh asymmetry and information here.
  361. 15:44So only the politician is going to
  362. 15:45observe the state of the world and then
  363. 15:48the payoff of the voter is going to
  364. 15:50deter be determined on whether or not
  365. 15:54the politician sets his action equal to
  366. 15:57the state of the world.
  367. 15:59So if the if the politician sets the
  368. 16:02action so either 01 to the state of the
  369. 16:06world 0 or one if they're equal then the
  370. 16:09voters are going to receive a payoff uh
  371. 16:11called delta. If he decide if the
  372. 16:14politician decides not to equate his
  373. 16:17action to the state of the world then
  374. 16:18the voters will receive a payoff of
  375. 16:20zero. Okay.
  376. 16:26On top of that, there's going to be two
  377. 16:28types of politicians. There's going to
  378. 16:30be a politician that we're going to call
  379. 16:32a non-corrupt politician denoted by NC,
  380. 16:36and then a corrupt politician denoted by
  381. 16:39C. And we're going to let pi be the
  382. 16:43proportion of non-corrupt politicians in
  383. 16:46the population. Okay? Um, and that's
  384. 16:50going to matter because if a if uh if
  385. 16:54voters decide not to reelect the
  386. 16:57incumbent, then they're going to draw a
  387. 17:00population, a challenger, they're going
  388. 17:02to draw a challenger from from the
  389. 17:04population at random. And so the voters
  390. 17:07will then know that with probability pi,
  391. 17:11that politician is going to be
  392. 17:12non-corrupt. So keep that in mind for
  393. 17:14when we talk about how voters vote.
  394. 17:18Um all politicians are going to receive
  395. 17:20an ego rent e for holding office. And
  396. 17:23this is just another motive that
  397. 17:25politicians may have for holding office.
  398. 17:28And uh and then non-corrupt polit and
  399. 17:31the distinction between noncorrupt
  400. 17:34politicians and corrupt politicians is
  401. 17:36that non-corrupt politicians their
  402. 17:39incentives are aligned with the voters.
  403. 17:41And what do we mean by that? Well,
  404. 17:44they're going to receive a payoff equal
  405. 17:46to delta if they set their actions equal
  406. 17:49to the state of the world and zero and
  407. 17:52then and nothing otherwise. Okay, so
  408. 17:55they're so they're clearly aligned with
  409. 17:57the voters. The corrupt politicians on
  410. 18:01the other hand have the opportunity to
  411. 18:04receive some rents are from setting
  412. 18:08policy not equal to the state of the
  413. 18:10world. Okay, where r is going to be you
  414. 18:14know randomly distributed from some
  415. 18:17distribution with you know a support
  416. 18:20with of with a mean with a sorry with a
  417. 18:24mean meu and some support over zero r.
  418. 18:27So that's just the definition of that
  419. 18:28distribution.
  420. 18:30On top of that there's going to be some
  421. 18:34probability of getting caught gamma if
  422. 18:37they choose to steal. And so their
  423. 18:40expected cost of of stealing is going to
  424. 18:44be is going to be you know gamma gamma
  425. 18:47r. And so notice that what gamma is do
  426. 18:51the role that gamma is playing in this
  427. 18:53model is that it's going to be our our
  428. 18:56lever into uh promote into uh horizontal
  429. 19:01accountability. So this would be we can
  430. 19:03think of this as kind of a reduced form
  431. 19:05way of introducing horizontal
  432. 19:08accountability into into the model.
  433. 19:13Okay. So the timing of the game is as
  434. 19:16follows. So at the beginning of period
  435. 19:19one, a politician is elected at random.
  436. 19:24there's going to be some state of the
  437. 19:26world ST that is revealed only to the
  438. 19:29incumbent
  439. 19:31and as well as their type uh whether
  440. 19:33they're corrupt or non-corrupt if if
  441. 19:35newly elected. Okay, so this is so
  442. 19:37they're going to so the what are the
  443. 19:39sources of of um information asymmetry
  444. 19:44or uncertainty is the state of the world
  445. 19:46and the politicians type. So so the
  446. 19:49voters don't observe either one of those
  447. 19:51things.
  448. 19:53If the politician is corrupt, he's going
  449. 19:56to observe the rent that he could steal.
  450. 19:59So remember that's that's a draw from
  451. 20:01this G distribution.
  452. 20:04And then given that either, you know, if
  453. 20:07it's a corrupt or non-corrupt, the
  454. 20:09incumbent's going to choose
  455. 20:12his his policy decision uh EFT
  456. 20:16voter. This is going to then translate
  457. 20:18into some utilities uh for voters.
  458. 20:22But voters are only going to observe
  459. 20:24delta with some probability kai before
  460. 20:27heading to the poll. So we can the
  461. 20:29motivation for this might be we just
  462. 20:31don't know what the effect of that
  463. 20:33policy is going to be until much later.
  464. 20:35So we don't know whether we're going to
  465. 20:36benefit or not.
  466. 20:39After the elections, the corrupt
  467. 20:41politicians are going to draw a new
  468. 20:43rent. We'll call that R2.
  469. 20:46the same set of decisions and payoffs
  470. 20:49are going to be realized in the second
  471. 20:51period and then importantly after the
  472. 20:54second period the world ends. So the
  473. 20:56game is over. Okay? So there's no third
  474. 20:59period and fourth period. So you know at
  475. 21:02that point there's no more reelection
  476. 21:04incentives. And so that's that's you
  477. 21:06know that's how we're going to kind of
  478. 21:08introduce re-election incentives in the
  479. 21:10in the model in the sense that the first
  480. 21:12period the incumbent will have this
  481. 21:14possibility of getting reelected into
  482. 21:16the second period but in the second
  483. 21:18period because the game ends there's no
  484. 21:20reelection incentives. So this is going
  485. 21:22to provide us with the variation that we
  486. 21:24need to think about how reelection
  487. 21:26incentives affect politician behavior.
  488. 21:32Okay. So here is the basic timeline of
  489. 21:35the game uh just shown graphically uh
  490. 21:38you know I hopefully hopefully all this
  491. 21:41is clear but um and so let me go ahead
  492. 21:43and and and skip this slide.
  493. 21:46So so what's what's the solution to this
  494. 21:50game? Well we're going to solve it. Uh
  495. 21:53the solution concept will be something
  496. 21:54called perfect basian dash equilibrium.
  497. 21:58Um and basically what we do there is we
  498. 22:01start uh you know in the final period
  499. 22:03and then work our ways uh backward.
  500. 22:07Okay. So what are what what is the
  501. 22:09behavior of non-corrupt politicians?
  502. 22:12Well remember non corrupt politicians
  503. 22:16have their incentives completely aligned
  504. 22:19with voters. So what are they going to
  505. 22:21do? They're going to set EFT equal to S
  506. 22:24of T in both periods. Right? So they
  507. 22:27have every incentive to provide the
  508. 22:30public good because they're just going
  509. 22:31to that's you know that's you know
  510. 22:34that's that's what maximizes their
  511. 22:36welfare.
  512. 22:38The noncorrupt politician well what
  513. 22:40would a non-corrupt politician do in
  514. 22:42period two? Well, in period two, he's
  515. 22:46the politician's going to set their
  516. 22:48policy not equal to the state of the
  517. 22:50world because in that case, he'll be
  518. 22:53able to extract rents and he's better
  519. 22:56off if he's able to do that.
  520. 22:59Where the decision gets a bit more
  521. 23:01interesting is in the first period. So,
  522. 23:05in the first period, what's the
  523. 23:07trade-off that a corrupt politician can
  524. 23:09do? Well, in the first period, he could
  525. 23:13set EFT equal to SFT. Now, remember, by
  526. 23:17setting policy equal to state of the
  527. 23:19world, he's not going to get anything.
  528. 23:20He's not be going to be able to um to
  529. 23:24extract any run in that case. And so,
  530. 23:26his utility will be zero in that. But
  531. 23:30what he might be able to do is convince
  532. 23:33voters
  533. 23:35to be sort of quote unquote a good type
  534. 23:38politician, right? So voters are trying
  535. 23:41to determine whether their incumbents
  536. 23:43good, corrupt or non-corrupt. And so if
  537. 23:46you know if the politician sets policy
  538. 23:49equal the state of the world then he
  539. 23:51might be able to pull this is why we
  540. 23:53call it pooling equilibrium in which he
  541. 23:57pretends to be a good type and then he
  542. 24:00may get elected into the second period
  543. 24:03in which case once he's in the second
  544. 24:05period as we just discussed he can then
  545. 24:07steal some rents right so on the other
  546. 24:11hand maybe he can on the other hand he
  547. 24:15may decide just to extract rents in the
  548. 24:18first period
  549. 24:20and then and in that case there's a good
  550. 24:23chance that that voters will observe
  551. 24:26that he's that they didn't get the
  552. 24:28public goods or there's some probability
  553. 24:29that and then if they observe that they
  554. 24:32didn't get the pro the the public goods
  555. 24:35then in that case for sure they know
  556. 24:37that the politician is corrupt and so
  557. 24:40then they won't reelect him. Okay. And
  558. 24:42so and so there's this tradeoff that
  559. 24:45politicians face and and in particular
  560. 24:48there's this particular threshold where
  561. 24:51we're where we're going to see whether
  562. 24:53or not there's a pooling equilibrium and
  563. 24:55that's what's given and that's the
  564. 24:57expression that's given below in one of
  565. 24:59these sub bullet points. Right? So if
  566. 25:02the rent remember there's this random
  567. 25:04draw of of rents that the politician can
  568. 25:07can achieve and if it's below this RC
  569. 25:11and what's RC there? RC is this
  570. 25:14discounted return. So the benefits of
  571. 25:16holding office in the second period. And
  572. 25:19so if if the rents that they that they
  573. 25:24receive in the first period is less than
  574. 25:27R RFC, then they're going to they're
  575. 25:29they're going to refrain from from rent
  576. 25:32extraction. They're not going to engage
  577. 25:33in corruption. However, if it's larger
  578. 25:36than RFC, then they're going to they're
  579. 25:39going to set policy not equal to the
  580. 25:41state of the world so that they can
  581. 25:43extract rents. So hopefully the logic of
  582. 25:45that is is very clear. Um we can see
  583. 25:49this uh graphically uh uh in the
  584. 25:53following way. So each corrupt
  585. 25:54politician draws this rent R from G.
  586. 25:58If R is less than RF RFC, then stealing
  587. 26:02is not worth losing office and he'll
  588. 26:05refrain from from holding office. Um and
  589. 26:09so he'll look honest in the process. But
  590. 26:12if RFC is greater or sorry if R is
  591. 26:16greater than RFC then he's going to go
  592. 26:18ahead and steal. Okay. And so you can
  593. 26:20see the proportion of Paul. So what this
  594. 26:23graph on the left shows is the
  595. 26:24proportion of of corrupt types based on
  596. 26:28the draw that are going to refrain for
  597. 26:32corrupt from from stealing um versus
  598. 26:35those that are going to uh extract rent
  599. 26:38in the f in the first period. And what's
  600. 26:41important is um
  601. 26:44uh there's these there's this uh the
  602. 26:47this gamma and kai which is kai is the
  603. 26:51probability that you observe if you
  604. 26:53recall it's the probability that you
  605. 26:55observe the your utility
  606. 26:58um if you the higher you move those
  607. 27:01things meaning the higher you the the
  608. 27:04higher that kai is the more likely
  609. 27:06you're obser you observe your utility
  610. 27:09the more you the more the this this
  611. 27:12decision point will shift to the to the
  612. 27:14right and the less the less you're going
  613. 27:16to you're going to steal or the more
  614. 27:18politicians you're going to get we're
  615. 27:20going to refrain and the same logic
  616. 27:22applies for gamma which is this
  617. 27:24probability of being punished okay and
  618. 27:27I'm going to be more explicit about
  619. 27:28these comparative statics in a second
  620. 27:30okay so what are what are the voter
  621. 27:32strategy here so the voter strategy is
  622. 27:35to reelect a non uh politician since the
  623. 27:39game ends in period 2. So what does that
  624. 27:42mean? Well, if they don't observe delta,
  625. 27:44then their beliefs are going to remain
  626. 27:46the same as their prior. What was their
  627. 27:49prior? It was pi because you know the
  628. 27:51pool of noncrupt politicians was pi. As
  629. 27:53I mentioned, if they do observe delta,
  630. 27:57well then voters are going to update
  631. 27:59their belief according to bae rule that
  632. 28:02the incumbent is non is non-corrupt. And
  633. 28:05if you work out the bay rule, basically
  634. 28:08it gives you the following equation in
  635. 28:10the middle here that you know we don't
  636. 28:12need to go over in in much detail, but
  637. 28:15basically what this tells us is what's
  638. 28:17the probability that the politician is
  639. 28:19non-corrupt conditional on on on delta.
  640. 28:24Okay. And that's what that's what this
  641. 28:26expression gives. Notice that there's
  642. 28:28this kai here which is you've observed
  643. 28:30delta and then you have this ex this
  644. 28:33probability here and then and this is
  645. 28:36your updated probability that the person
  646. 28:38is is is is
  647. 28:41um is corrupt or uh sorry non-corrupt
  648. 28:45conditional on on observing delta and
  649. 28:48then this is your the the your one minus
  650. 28:52kai is the probability of not observing
  651. 28:54delta and then this is the your your
  652. 28:56belief of of being noncorrupt
  653. 28:58conditional on not observing delta. And
  654. 29:01so given given this expression what it's
  655. 29:04what one can show is that this
  656. 29:06expression is greater than um than uh
  657. 29:11than pi and so voters have a dominant
  658. 29:14strategy to reelect the incumbent if
  659. 29:16they observe delta. Okay.
  660. 29:20Um so so given that uh the you know
  661. 29:25accountability is a key is key to
  662. 29:27disciplining politicians and increasing
  663. 29:30uh voter welfare. And as I mentioned to
  664. 29:33you there in this model there's three
  665. 29:36levers for accountability. There's
  666. 29:39vertical accountability which appears
  667. 29:41through this G function this G RFC
  668. 29:45component. And we can think of these we
  669. 29:48can think of vertical accountability as
  670. 29:49like having free and fair elections that
  671. 29:52incentivize politicians to behave due to
  672. 29:55the reelection pressures. And so this G
  673. 29:58of RC is what's capturing this
  674. 30:00reelection uh incentives. And then as I
  675. 30:03mentioned to you before there's also
  676. 30:05this horizontal accountability component
  677. 30:07which is capturing by this parameter
  678. 30:09gamma. and and one can interpret this as
  679. 30:12a re as a reduced form of way of
  680. 30:14reflecting you know the checks from the
  681. 30:17courts or other oversight institutions
  682. 30:20like audit institutions and so forth and
  683. 30:22so a higher gamma raises the corruption
  684. 30:26threshold RFC as I showed you
  685. 30:28graphically making rent extraction less
  686. 30:30likely
  687. 30:32and then the third component is this
  688. 30:35diagonal accountability uh kai and we
  689. 30:38could we could argue that this is going
  690. 30:40be determined or a function of the role
  691. 30:42of media and civil society in societ in
  692. 30:45in in in the location. And so if you
  693. 30:48have, you know, independent watchd dogs
  694. 30:51or independent media, then the
  695. 30:54presumably this diagonal accountability
  696. 30:56is going to increase and so a higher Kai
  697. 31:00is going to strengthen uh deterrence and
  698. 31:03then uh reduce the likelihood of
  699. 31:05corruption.
  700. 31:07Um so in the next couple slides I I go
  701. 31:11through and I explain how we we derived
  702. 31:14this welfare
  703. 31:16uh function that I that I present in the
  704. 31:19other other slide. But for the sake of
  705. 31:21time because I want to I want to give
  706. 31:24Clauddio time to to go over uh a lot of
  707. 31:27the the empirical research that's that's
  708. 31:30been you know that's been growing over
  709. 31:32the last 5 to 10 years. Let me go ahead
  710. 31:35and and skip uh this this part here. Um
  711. 31:40which which you know you can go over
  712. 31:42these slides uh at your own leisure and
  713. 31:45so forth. And and let me just uh finish
  714. 31:48off on on the empirical implications of
  715. 31:52this model and why this model has been
  716. 31:55such a workhorse for thinking about uh
  717. 31:58incumbent behavior and so forth. And so
  718. 32:02uh what we and so as a result a lot of
  719. 32:04these you know uh a lot of these uh
  720. 32:07empirical implications from this model
  721. 32:09have been borne out in the literature as
  722. 32:11as as Claudia is going to mention but
  723. 32:14basically what we see is that you know
  724. 32:15when there's more media more information
  725. 32:18and this can be in in the context of
  726. 32:20better radios newspapers internet we see
  727. 32:23that corruption goes down if in places
  728. 32:27where you know courts function well
  729. 32:29where there's audit agencies. There's,
  730. 32:31you know, you know, independent
  731. 32:33prosecutors, better oversight in
  732. 32:35general. We also see in those places
  733. 32:38corruption is much lower. There's also
  734. 32:41interesting interactions between uh
  735. 32:44between uh diagonal accountability and
  736. 32:46horizontal accountability uh where the
  737. 32:49effects of media becomes even larger
  738. 32:52when oversight is stronger. Um and then
  739. 32:57you know and then also we and and
  740. 33:00importantly we also see that uh based on
  741. 33:03term limits that mayor that politicians
  742. 33:06who are term limited are going to engage
  743. 33:09in more corruption than politicians that
  744. 33:12are not termlimited. Um and this can and
  745. 33:15and we can show that in a variety of
  746. 33:16way. Now there's a lot of empirical
  747. 33:18challenges associated with these
  748. 33:20predictions namely in trying to find
  749. 33:23exogenous variation
  750. 33:25because things like you know whether we
  751. 33:28have good judiciary system or whether
  752. 33:30the media is independent those are all
  753. 33:32endogenous. Um and then the other
  754. 33:35challenge is that corruption is rarely
  755. 33:37observed.
  756. 33:39So we need to we need to find a credible
  757. 33:42measure of corruption which is something
  758. 33:44that the literature has has struggled
  759. 33:46with for a long time. Um and then
  760. 33:48there's you know and then we both in
  761. 33:50this model which I didn't quite discuss
  762. 33:52but you know if you get interested in
  763. 33:54this model and go in more detail what
  764. 33:56you'll realize is that there's two
  765. 33:58mechanisms at play. There's a discipline
  766. 34:00mechanism in the sense that what
  767. 34:01re-election incentives are doing is it's
  768. 34:03it's refrain it's it's providing the
  769. 34:06incentives for politicians to refrain
  770. 34:08from corruption. But there's all this
  771. 34:10but there's also a selection mechanism
  772. 34:13role that elections play which is what
  773. 34:15elections do is they help voters
  774. 34:20u uh select the best politician. And so
  775. 34:24there's this mix of the, you know, mix
  776. 34:26of of good and bad type politicians that
  777. 34:28can also affect aggregate behavior as we
  778. 34:32would see it. And so with this, let me
  779. 34:36go ahead and and pass it uh pass it to
  780. 34:39to Clauddio to discuss some of the
  781. 34:42empirical evidence uh associated with
  782. 34:45this model.
  783. 34:59Okay, great. Uh, thanks Fred.
  784. 35:04Maximize this.
  785. 35:06Is this
  786. 35:08Okay, what what I'm going to do is uh
  787. 35:12provide you. We don't have a lot of
  788. 35:13time. We only have like half an hour. So
  789. 35:16what I'm going to try to do is convey
  790. 35:19some of the empirical evidence that we
  791. 35:21have uh for some of uh this topics that
  792. 35:24we have been discussing. If you are more
  793. 35:27interested, one of the readings that uh
  794. 35:29we told you that you could read is this
  795. 35:31chapter that Fred and I wrote for for
  796. 35:34the handbook of political economy that's
  797. 35:35forthcoming. So you can uh read a lot of
  798. 35:38uh the evidence that we know on the
  799. 35:40different types of accountability. What
  800. 35:42I'm going to do because we don't have a
  801. 35:44lot of time is actually focus on uh the
  802. 35:47electoral accountability, the vertical
  803. 35:49type of accountability and then some of
  804. 35:52these other discussions about horizontal
  805. 35:55judicial systems and media and all that
  806. 35:58you can find that in that in our in our
  807. 36:00chapter. So mostly uh I'm going to focus
  808. 36:03on two different types of questions
  809. 36:05which the one way to think about it they
  810. 36:08are kind of like the two sides of of of
  811. 36:11the accountability that we've been
  812. 36:13discussing about one is the question on
  813. 36:16whether elections discipline
  814. 36:18politicians. Is it the case that if
  815. 36:20politicians going to face elections the
  816. 36:22re-election perspective
  817. 36:25does that as the model will predict will
  818. 36:28discipline politician to behave better
  819. 36:31get reelected and then being able to
  820. 36:33enjoy those rents either monetary rents
  821. 36:36or ego rents in the second period that
  822. 36:39they're in office. I mean of course the
  823. 36:42model is simplifying a reality that's a
  824. 36:44little bit different because politicians
  825. 36:45maybe can be reelected for many periods
  826. 36:47and all that. The model is very simple
  827. 36:50but the overall implication is that
  828. 36:52elections will discipline politicians.
  829. 36:54So that will be kind of the first uh
  830. 36:56part that I'm going to discuss. And then
  831. 36:59the second part that I'm going to
  832. 37:00discuss that's also needed in order for
  833. 37:02this to happen is that the only reason
  834. 37:05why politicians will be disciplined by
  835. 37:08elections is if they believe that voters
  836. 37:11know something and once voters know
  837. 37:14something they're going to hold
  838. 37:15politicians accountable. So the
  839. 37:17prediction that comes out of that is
  840. 37:20that information should affect the way
  841. 37:23that voters vote. Voters will use that
  842. 37:26information to say reward good
  843. 37:29performance or punish that performance
  844. 37:32because without that then politicians
  845. 37:34will not anticipate that if they don't
  846. 37:36behave well they will get reelected. So
  847. 37:38I'm going to discuss both types of
  848. 37:40evidence. It's going to be focused on
  849. 37:42the readings that we asked uh you you to
  850. 37:45read, but I'm going to bring in a couple
  851. 37:47of other pieces of evidence as well as I
  852. 37:50as I present this this evidence.
  853. 37:54So, as Fred was mentioning, there are
  854. 37:56many challenges in answering this uh
  855. 37:59research questions. Uh
  856. 38:03one is that re-election incentives and
  857. 38:04voter information not randomly assigned,
  858. 38:07right? So, we cannot just purely
  859. 38:09compare. Oh, let me compare politicians
  860. 38:11that face re-election incentives with
  861. 38:13those that do not if the re-election
  862. 38:17incentives are coming from their choice
  863. 38:19of running for election again or not
  864. 38:22because that's an indogenous choice that
  865. 38:23they make. Uh so that's going to be a
  866. 38:26challenge. It's also the case that it's
  867. 38:29going to be hard to measure uh things
  868. 38:31that we care about. So if you want to
  869. 38:33for example measure rents then we need a
  870. 38:35measure of corruption and people going
  871. 38:37to try to hide corruption and stuff. So
  872. 38:40how do we actually get data to measure
  873. 38:43those things? And then we have we need
  874. 38:46some type of exogenous variation and and
  875. 38:48and most of the literature have used
  876. 38:52either variation in changes in policies
  877. 38:54that generate change in term limits.
  878. 38:57They all of a sudden some politicians
  879. 38:59can get reelected, others cannot.
  880. 39:02Sometimes people have used closed
  881. 39:03elections, timing and and and things
  882. 39:07like that. And on the information, a lot
  883. 39:09of the evidence they're going to
  884. 39:10provide, they're going to come from
  885. 39:11either new policies that somehow provide
  886. 39:15information in a random or quasi random
  887. 39:18way or for example differential media
  888. 39:21markets across localities where some
  889. 39:24places have more media than others or I
  890. 39:26mean there's a more recent evidence also
  891. 39:28using field experiments to understand
  892. 39:30the role of of information.
  893. 39:35So the the first question that we're
  894. 39:39going to ask here is well if voters use
  895. 39:43the information to enforce
  896. 39:45accountability is it the case that
  897. 39:47politicians that face re-election
  898. 39:48incentives behave in a different way
  899. 39:52and I'm going to answer this question
  900. 39:55describing some research that friend and
  901. 39:57I did many years ago where we look at
  902. 40:00the setting of mayors in Brazil.
  903. 40:04And this is an interesting setting
  904. 40:06because we have the two things that I
  905. 40:09was describing that we need in order to
  906. 40:11study this one is variation that some
  907. 40:14politicians can get reelected and others
  908. 40:17cannot. So that's kind of like the first
  909. 40:19piece that we need. And then the second
  910. 40:22piece that we need if we want to study
  911. 40:24for example rents is some measure of
  912. 40:28corruption that in our case is going to
  913. 40:31come from federal audits that were done
  914. 40:34by the federal government in local
  915. 40:36governments. And what we're going to do
  916. 40:39is that we're going to exploit the fact
  917. 40:41that
  918. 40:43up until 1996 in Brazil like in many
  919. 40:46countries local politicians were not
  920. 40:49allowed to get reelected. They had four
  921. 40:51years in office and then they had to
  922. 40:53leave. There were no possibility of
  923. 40:55re-election and there was a
  924. 40:57constitutional change that allowed
  925. 41:00mayors and other politicians as well but
  926. 41:03our study we're focusing on mayors to
  927. 41:06get reelected. Now because this was
  928. 41:09allowed in 1997
  929. 41:11then what happened is in 2000 some of
  930. 41:14those people got reelected while others
  931. 41:17did not get reelected. So that means
  932. 41:20that in the period that we're going to
  933. 41:22study here, which is this period between
  934. 41:262000 and 2004,
  935. 41:29this period here, we're going to have
  936. 41:32mayors that can get reelected and mayors
  937. 41:35that cannot get reelected. I don't know
  938. 41:39how to do an ad here.
  939. 41:42So, we're going to have two types of
  940. 41:43mayors. We're going to observe their
  941. 41:46corruption level and then we're going to
  942. 41:49compare if we compare mayors that cannot
  943. 41:52get reelected with the ones that can
  944. 41:54controlling for the fact that maybe some
  945. 41:57characteristics of these municipalities
  946. 41:59are different. How do they fair? How do
  947. 42:01they compare one to the other?
  948. 42:05So, as I was saying in the beginning,
  949. 42:07this is data from a controllers's office
  950. 42:11that randomly selects through a public
  951. 42:13lottery municipalities to get audited.
  952. 42:16And what we're going to do is read the
  953. 42:18audit reports and come up with a measure
  954. 42:20of corruption in terms of the amount of
  955. 42:23money that was diverted over invoice
  956. 42:25procurements that had like corrupt
  957. 42:27practices etc. And with that, we're
  958. 42:29going to have a measure of the share of
  959. 42:33resources in that municipality during
  960. 42:36that window of time that had corrupt
  961. 42:39practices. Or another way to think about
  962. 42:41is like what share of money got diverted
  963. 42:44for corruption in those places. And
  964. 42:47we're going to have a those measures
  965. 42:49were a little bit less than 500 places
  966. 42:52across 11 lotteryies that this was done.
  967. 42:56And we're going to run the following
  968. 42:57regression. We're going to regress a
  969. 42:59corruption level against an indicator on
  970. 43:03whether in that municipality mayors can
  971. 43:06and cannot get reelected. We're going to
  972. 43:09control for a rich set of municipal and
  973. 43:11mayor characteristics.
  974. 43:13And we're also going to try to address
  975. 43:16the fact that once you compare first and
  976. 43:18second term mayors, the beta coefficient
  977. 43:21that we have in this regression might
  978. 43:24not only represent differential
  979. 43:26re-election incentives, but might also
  980. 43:29represent, for example, different
  981. 43:30selection or different experience.
  982. 43:34So, what we're going to find is that
  983. 43:38mayors that are in a first term and can
  984. 43:40get reelected are significantly less
  985. 43:44corrupt than mayors that are in a second
  986. 43:46term and cannot get reelected. So
  987. 43:49re-election incentives
  988. 43:51implies that these mayors are afraid
  989. 43:54that voters are going to find out that
  990. 43:56they're stealing money and are going to
  991. 43:58refrain from red seeking from corruption
  992. 44:02in a way that they look 27% less corrupt
  993. 44:07than the mayors that cannot get
  994. 44:09reelected.
  995. 44:14Another way to look at these results is
  996. 44:16to say look let's use a different design
  997. 44:18where we not only compare for example
  998. 44:20all the mayors in a first and second
  999. 44:23term but let's focus on those that are a
  1000. 44:27little bit more similar in terms of the
  1001. 44:30municipalities where they are.
  1002. 44:32If we do a regression discontinuous
  1003. 44:34design where we compare localities where
  1004. 44:36a mayor got reelected by a small margin
  1005. 44:40and a municipality where the mayor lost
  1006. 44:43by a small margin, then what we have is
  1007. 44:45a quasi experiment where by a little bit
  1008. 44:49of a margin of victory, we have a mayor
  1009. 44:52that's a second term visav mayor that is
  1010. 44:54a first term. And when we do this
  1011. 44:56comparison, we find actually results are
  1012. 44:59not that different. sometimes even a
  1013. 45:01little bit larger than the original
  1014. 45:03results that I showed you before. So
  1015. 45:05what you see in this figure is to the
  1016. 45:08right places where you have someone that
  1017. 45:10got reelected now is in the final term
  1018. 45:13are more corrupt that places where you
  1019. 45:16have a new mayor that now face
  1020. 45:18re-election incentives than those people
  1021. 45:21they are actually less corrupt.
  1022. 45:26Now, if re-election incentives really
  1023. 45:28matter, we should not observe that only
  1024. 45:31for corruption. We also should observe
  1025. 45:33that mayors that face re-election
  1026. 45:35incentives are trying to put more effort
  1027. 45:39in order to try reelect it. And what we
  1028. 45:42do to test that is we look at grants
  1029. 45:45that in the case of Brazil but that's
  1030. 45:47true in many other countries where
  1031. 45:49mayors local politicians can try to
  1032. 45:52bring resources to their locality or
  1033. 45:54their municipality
  1034. 45:56by suggesting infrastructure projects to
  1035. 45:59build roads to build schools to bring
  1036. 46:01health clinics to bring tractors to
  1037. 46:04bring machines etc to their localities.
  1038. 46:07If we believe that re-election
  1039. 46:09incentives really matter, then what we
  1040. 46:11should find is that these mayors, they
  1041. 46:14should be trying to attract more
  1042. 46:16resources.
  1043. 46:18So what I'm displaying here in these
  1044. 46:20figures are the coefficients of first
  1045. 46:24term versus second term mayors,
  1046. 46:27whether they received a grant, the
  1047. 46:30amount of grant they receive, and the
  1048. 46:32share of the grant that they receive
  1049. 46:34based on what they apply for. So the
  1050. 46:37positive coefficient means that mayors
  1051. 46:41that have a re-election incentives get
  1052. 46:43more stuff. Not only because they ask
  1053. 46:46for more stuff in terms of the discrete
  1054. 46:49variable, but even the amount of stuff
  1055. 46:51that they ask for and that they get is a
  1056. 46:54function of the effort that they make.
  1057. 46:56But we also find that this effect tends
  1058. 46:59to be larger the closest that you get to
  1059. 47:02an election. So the election year his
  1060. 47:04was 2004. And you can see how if you
  1061. 47:08have re-election incentives, you try to
  1062. 47:09bring more stuff to your municipality
  1063. 47:11and you make a larger effort the closer
  1064. 47:14you get to the election day.
  1065. 47:18Okay. So, so now let me switch to a
  1066. 47:23complimentary type of evidence to
  1067. 47:25convince you that politicians really
  1068. 47:28care about the fact that voters know
  1069. 47:31something about them and react to them.
  1070. 47:34So this is a very different setting and
  1071. 47:35a different very different research
  1072. 47:37design. So this is Bergian and Qualters
  1073. 47:40looking at Delhi municipal counselors
  1074. 47:43studying a newspaper report card on
  1075. 47:46their performance before an election. So
  1076. 47:49what these researchers did is they put
  1077. 47:51together a report card with a
  1078. 47:54description of what this politician is,
  1079. 47:58their biography, what they did in terms
  1080. 48:01of how they spent a pot of money that
  1081. 48:04they can distribute in terms of topics.
  1082. 48:06This is a setting where a lot of the
  1083. 48:09individuals are poor. So these are like
  1084. 48:11in really poor neighborhoods in in
  1085. 48:13Delhi. So part of what this variation is
  1086. 48:17is going to capture is whether
  1087. 48:18politicians are really delivering these
  1088. 48:20projects for the poorest of the poor or
  1089. 48:23not.
  1090. 48:26And what they find is they're going to
  1091. 48:30go and they're going to pro tell
  1092. 48:33politicians, a subset of politicians
  1093. 48:35that this information is going to be
  1094. 48:37shown to voters, but a randomly set of
  1095. 48:40politicians are not going to have their
  1096. 48:44performance disclosed to voters. So
  1097. 48:47that's the first experiment that they
  1098. 48:49do. And then the second type of
  1099. 48:51experiment to complement this one where
  1100. 48:54is where they vary how public is the
  1101. 48:56information that is going to be provided
  1102. 48:59about the politicians.
  1103. 49:02And what they find which is the more uh
  1104. 49:05I I'll say the more meaningful uh result
  1105. 49:08here in this experiment is that if you
  1106. 49:11look after you tell politicians that the
  1107. 49:16way they're spending the money is going
  1108. 49:17to become a public information what you
  1109. 49:20observe is in these settings that a lot
  1110. 49:23of people are really poor and legally
  1111. 49:25Islams is the prop poor spending
  1112. 49:29significantly increases. So politicians
  1113. 49:32respond to the fact that information is
  1114. 49:34going to become available that people
  1115. 49:36are going to know how they spend the
  1116. 49:37money and are really afraid of
  1117. 49:39re-election incentives and therefore
  1118. 49:41they want to make the best thing that
  1119. 49:43they can do in order to try to get
  1120. 49:46reelected.
  1121. 49:52So let me provide a third uh example on
  1122. 49:55this before I switch into the role of
  1123. 49:58information. I'm going to be but I also
  1124. 50:01want to provide an example that's about
  1125. 50:03the subsaharan Africa context. So this
  1126. 50:06is work by uh Roger and Smani where is a
  1127. 50:10little bit different. They look at local
  1128. 50:12water systems in three countries in
  1129. 50:15Nigeria, in Sierra Leon, and in
  1130. 50:17Tanzania.
  1131. 50:19And they're not going to be looking at
  1132. 50:21electro incentives, but they're going to
  1133. 50:23be comparing
  1134. 50:25today, many years after the decision
  1135. 50:28about water infrastructure was built,
  1136. 50:32the quality of the infrastructure, if it
  1137. 50:35was built before the election or after
  1138. 50:37the election. So the idea here is that
  1139. 50:40if incumbents before an election have
  1140. 50:43incentives to show to the voters that
  1141. 50:45they're doing things right, the
  1142. 50:48infrastructure that you build before an
  1143. 50:49election will be better, better quality,
  1144. 50:53more long living compared to the
  1145. 50:55infrastructure that you build after the
  1146. 50:57election.
  1147. 50:59And they have water points all around
  1148. 51:03built all around Nigeria, Sierra, Leon,
  1149. 51:05and Tanzania.
  1150. 51:06And then what they're going to do is for
  1151. 51:08the different countries they're going to
  1152. 51:09look at house of representatives, local
  1153. 51:11councils and national assembly depending
  1154. 51:13on the type of politician in in each one
  1155. 51:16of the countries. And what they're going
  1156. 51:18to find is that if you look at the
  1157. 51:20functionality of the water system today
  1158. 51:24and you compare the ones that were built
  1159. 51:26after the election compared to the ones
  1160. 51:29built before the election, the ones
  1161. 51:31built after the election, they do way
  1162. 51:33worse in the long run. consistent with
  1163. 51:35the idea that the election provides
  1164. 51:38incentives for politicians to build
  1165. 51:41better infrastructure compared to if
  1166. 51:44you're building the infrastructure after
  1167. 51:45the election already has passed.
  1168. 51:51So, so this first part of the lecture is
  1169. 51:54is is trying to provide you evidence and
  1170. 51:56testing some of the the parts of the
  1171. 51:59model that Fred was talking about. This
  1172. 52:01idea that if politicians face
  1173. 52:04re-election incentives, they're going to
  1174. 52:06make more effort and they're going to
  1175. 52:08behave in a better way. Now, this only
  1176. 52:11makes sense, of course, if they think
  1177. 52:14that if voters learn about something,
  1178. 52:17voters are going to make them
  1179. 52:18accountable at the polls. So, what I'm
  1180. 52:21going to do next is provide you evidence
  1181. 52:23in different settings of voter account
  1182. 52:27making politicians accountable at the
  1183. 52:29polls starting with corruption, but then
  1184. 52:31I'm also going to provide a couple of
  1185. 52:33other examples. So the first evidence
  1186. 52:36comes also from the work that friend and
  1187. 52:38I did also many years ago that uses the
  1188. 52:42same variation that I was mentioning
  1189. 52:44before. But in this paper here we using
  1190. 52:48the fact that the places that were
  1191. 52:50decided in order to be audited in these
  1192. 52:53localities were chosen at random. So
  1193. 52:55there was a public lottery. Some places
  1194. 52:58were chosen to be audited before the
  1195. 53:01election that occur in October 2004.
  1196. 53:05other places were chosen to be audited
  1197. 53:08after the election that occur right here
  1198. 53:10in October 2004. So what we have the
  1199. 53:14facto is a natural experiment where for
  1200. 53:18all these voters here they're going to
  1201. 53:20learn about the audit results and
  1202. 53:23whether their incumbent politicians are
  1203. 53:25corrupt or not. While for all these
  1204. 53:28other voters here, they eventually going
  1205. 53:32to learn what happened when the audits
  1206. 53:34come to town, but they only going to
  1207. 53:36learn about it after the election
  1208. 53:38already has passed. So you can think of
  1209. 53:40this as a treatment group that's going
  1210. 53:42to get the information and a control
  1211. 53:44group that also is going to get the
  1212. 53:45information, but only after the election
  1213. 53:49has already passed.
  1214. 53:53So what we find in this paper is that
  1215. 53:58politicians that are revealed to be
  1216. 54:01corrupt are significantly punished in
  1217. 54:04the polls. So this is the number of
  1218. 54:06corrupt violations are found and these
  1219. 54:09are the reelection rates. You can see
  1220. 54:11that in blue this is the control group.
  1221. 54:14So in the control group the average
  1222. 54:16re-election rate is something close to
  1223. 54:1843%.
  1224. 54:20While the treatment group when the
  1225. 54:23information that the politician is
  1226. 54:25corrupt comes in, you see that the
  1227. 54:28re-election rate goes down to 30
  1228. 54:30eventually 20%.
  1229. 54:33So that's the punishment that voters are
  1230. 54:36doing when information about politicians
  1231. 54:39come out that they are corrupt. On the
  1232. 54:41other hand, if there is information that
  1233. 54:45the politician is clean, so there's no
  1234. 54:47corruption found in that municipality,
  1235. 54:50then this good news is actually rewarded
  1236. 54:52by voters and the reelection rate
  1237. 54:55increases from something around 43%
  1238. 54:59for something around 54 or 55%. So
  1239. 55:04almost like 10 percentage point. is a
  1240. 55:06massive increase in the re-election rate
  1241. 55:09when voters find out that their
  1242. 55:12politician comes out clean when
  1243. 55:14governments do this type of audits in
  1244. 55:17the municipalities.
  1245. 55:20And also related to something that Fred
  1246. 55:22was was discussing about the media, what
  1247. 55:25this paper shows is that this effects
  1248. 55:27that I just shown you are magnified in
  1249. 55:31places where you had local media to
  1250. 55:34provide that information and diffuse
  1251. 55:36that information. Now, in the case of
  1252. 55:38Brazil, this is we're looking like more
  1253. 55:40than 20 years ago where internet
  1254. 55:41penetration was really really low.
  1255. 55:44Social media didn't really exist.
  1256. 55:46National TV don't really cover the small
  1257. 55:48local municipalities. So, a lot of the
  1258. 55:51information flows, they go through
  1259. 55:52radio. So, if you compare places with
  1260. 55:55and without radio, in those places, you
  1261. 55:58really get this magnified effects of
  1262. 56:01this new information and how politicians
  1263. 56:04are being punished for corruption and
  1264. 56:06rewarded for uh good performance.
  1265. 56:11Now, is it the case that bad information
  1266. 56:14always hurt the incumbents? So, I'm
  1267. 56:17going to complement what I just showed
  1268. 56:19you with a couple of uh other pieces of
  1269. 56:23of of research.
  1270. 56:25But one thing that's really important
  1271. 56:27that some people have shown is that
  1272. 56:29sometimes bad news is not great news
  1273. 56:33because it disengages people from the
  1274. 56:35electoral process. So Shan and Qualters
  1275. 56:39have shown that in the case of Mexico
  1276. 56:41for example when you provide information
  1277. 56:43that politicians are corrupt. If there
  1278. 56:46is a perception then that all
  1279. 56:48politicians are corrupt this can
  1280. 56:51disengage people from the electoral
  1281. 56:53process and instead of people showing up
  1282. 56:55to punish corrupt politicians they
  1283. 56:57actually don't even show up to vote. So
  1284. 56:59in countries where for example voting is
  1285. 57:02not mandatory people choose to turn out
  1286. 57:05to vote or not information on the
  1287. 57:07quality of politicians can actually
  1288. 57:10reduce turnout.
  1289. 57:13The finding that information also is
  1290. 57:17going to make voters punish corrupt
  1291. 57:20politicians really depends and this is a
  1292. 57:22point that at show in this paper from
  1293. 57:26Mexico. It really depends on what's the
  1294. 57:29baseline
  1295. 57:31on perceptions that people already have.
  1296. 57:33So what they do is that they do a
  1297. 57:35similar experiment here except that they
  1298. 57:38deliver leaflets doortodoor in a
  1299. 57:41randomized way where they report the
  1300. 57:44share of the mayor's federal
  1301. 57:46infrastructure that is misspent. So they
  1302. 57:49go to neighborhoods and they randomize
  1303. 57:51that information and then they look at
  1304. 57:54how people voted and what they find is
  1305. 57:58actually that the leaflets were not
  1306. 58:00worse than expected in the sense that
  1307. 58:04you're providing information but in a
  1308. 58:06setting where everybody believes that
  1309. 58:09politicians are extremely corrupt. It
  1310. 58:12can be that the information that you're
  1311. 58:14providing is actually better than what
  1312. 58:15people thought. Oh, I thought people
  1313. 58:17were stealing a million dollars per
  1314. 58:20month. Now people come in and tell you,
  1315. 58:22oh, they actually only stealing a
  1316. 58:23hundred thousand. What happens? Well, in
  1317. 58:26the case of Mexico, they find that
  1318. 58:28actually some politicians actually on
  1319. 58:29average get rewarded. So, they get
  1320. 58:32rewarded for being less corrupt than I
  1321. 58:35initially expected. So, this is
  1322. 58:37interesting because in this type of like
  1323. 58:40experiments, I try to provide
  1324. 58:41information. We need to be careful how
  1325. 58:43to frame it, how to think about the
  1326. 58:45types of information that that we are
  1327. 58:48providing.
  1328. 58:50The final piece of evidence that I want
  1329. 58:52to give you is something about not only
  1330. 58:56misbehavior of poor corruption, but how
  1331. 59:00is it the case that voters think and
  1332. 59:02reward the quality of the performance?
  1333. 59:06And here I'm going to give you an
  1334. 59:08example of some work that I have been
  1335. 59:09doing with qualters looking at the
  1336. 59:11quality of education in Brazil. So the
  1337. 59:14setting here is a setting where in many
  1338. 59:17poor and middle inome countries is
  1339. 59:19really hard for voters to have a
  1340. 59:22benchmark to compare the quality of
  1341. 59:25public service delivery.
  1342. 59:27Brazil back until uh 2005
  1343. 59:31did not have a comparable metric for
  1344. 59:34voters to know if their public schools
  1345. 59:36were doing well or were not doing well.
  1346. 59:40So what happens since then is that a
  1347. 59:42national test standardized was created
  1348. 59:46where all schools were obliged to take
  1349. 59:48the test and then the information of the
  1350. 59:52quality of the education for primary
  1351. 59:54school was then delivered online made it
  1352. 59:58public all the newspapers made pieces
  1353. 1:00:00about it etc. Now, the way that this
  1354. 1:00:03policy was implemented right before an
  1355. 1:00:06election in 2008
  1356. 1:00:08kept out of the system rural schools and
  1357. 1:00:12schools that had less than 20 students
  1358. 1:00:14to take this test. Meaning that we have
  1359. 1:00:18a natural experiment when we have a
  1360. 1:00:20comparison group that did not have the
  1361. 1:00:23results of school quality that we can
  1362. 1:00:25compare to voters that receive the
  1363. 1:00:29information on school quality.
  1364. 1:00:32So what we find is that in the top of
  1365. 1:00:35the distribution, if voters knew about
  1366. 1:00:39their schools in their municipalities
  1367. 1:00:42doing well compared to like average
  1368. 1:00:44schools, they rewarded in approximately
  1369. 1:00:48two percentage points the incumbent
  1370. 1:00:50mayor responsible for education.
  1371. 1:00:53suggesting that if voters learn
  1372. 1:00:57something where they can infer good
  1373. 1:01:00quality, they can reward also
  1374. 1:01:03politicians in the positive way and not
  1375. 1:01:06necessarily only in the negative way
  1376. 1:01:08respect to uh corruption.
  1377. 1:01:11But then in this paper what we do is
  1378. 1:01:13that we ask the following question which
  1379. 1:01:15is do politicians then respond to this
  1380. 1:01:19once there is information about the
  1381. 1:01:21quality of schools then what we do is
  1382. 1:01:24that we track infrastructure investment
  1383. 1:01:27in schools and in this figure here what
  1384. 1:01:29I'm doing is that I'm comparing schools
  1385. 1:01:32in pink that were in the bottom on the
  1386. 1:01:35quality distribution with schools in the
  1387. 1:01:38blue that are in the top of the quality
  1388. 1:01:40distribution.
  1389. 1:01:41and I'm plotting the effects of
  1390. 1:01:43providing the information after 2007 on
  1391. 1:01:47an infrastructure index on school items
  1392. 1:01:50such as equipment, facilities, services,
  1393. 1:01:53etc. And what we find is that policy
  1394. 1:01:56makers seem to be making more
  1395. 1:01:58investments in infrastructure in those
  1396. 1:02:01schools where information came out that
  1397. 1:02:04those schools are not doing well in this
  1398. 1:02:06comparison uh test scores.
  1399. 1:02:09So to finish up uh key takeaways is that
  1400. 1:02:14we have
  1401. 1:02:17evidence
  1402. 1:02:18that voters respond to cred public
  1403. 1:02:21information which is something that is
  1404. 1:02:23implicit in this political agency
  1405. 1:02:25models, right? Like the idea behind this
  1406. 1:02:27political agency model is that there's
  1407. 1:02:29some asymmetric information between
  1408. 1:02:32politicians and voters. But once voters
  1409. 1:02:35get some information, they use going to
  1410. 1:02:37use that information either to infer the
  1411. 1:02:40type of politician that's trying to get
  1412. 1:02:42reelected or the effort that the
  1413. 1:02:45politician made and that's going to be
  1414. 1:02:47used in order to reelect or not
  1415. 1:02:49politicians.
  1416. 1:02:51Media sometimes amplifies that
  1417. 1:02:53information. So free media in many
  1418. 1:02:55countries is really important in order
  1419. 1:02:58to alleviate problems of asymmetric
  1420. 1:03:01information and we also have evidence
  1421. 1:03:04that politicians are going to respond to
  1422. 1:03:06that. If they can get reelected they're
  1423. 1:03:09going to reduce corruption. We have
  1424. 1:03:10evidence of that. They might provide
  1425. 1:03:12more visible infrastructure. They might
  1426. 1:03:14invest in performance uh that maybe poor
  1427. 1:03:18people are going to care about. Right?
  1428. 1:03:19So they're going to care about many of
  1429. 1:03:21those things. Now, of course, with this,
  1430. 1:03:25I don't want to say that accountability
  1431. 1:03:28is always going to work because there's
  1432. 1:03:30going to be many, many settings, and
  1433. 1:03:31this is how I'm going to finish the
  1434. 1:03:33lecture where accountability is not
  1435. 1:03:36going to work. And this is a little bit
  1436. 1:03:37outside of the model that Fred
  1437. 1:03:39presented. But if we try to think in
  1438. 1:03:42practice why accountability does not
  1439. 1:03:44work, it's really important to have some
  1440. 1:03:47of these problems in mind. So, first we
  1441. 1:03:50have old problems. And in the chapter
  1442. 1:03:52that I mentioned in the beginning, we
  1443. 1:03:54discussed many of these problems. Vote
  1444. 1:03:56buying politicians that want to offset
  1445. 1:03:59bad news just distributing cash or
  1446. 1:04:02distributing food or distributing things
  1447. 1:04:04that politicians think voters care
  1448. 1:04:06about. Sometimes there is manipulation
  1449. 1:04:09at the polls. There's fraud in
  1450. 1:04:10elections. And
  1451. 1:04:13worse than fraud, sometimes there's
  1452. 1:04:15political violence when when you use
  1453. 1:04:18intimidation, guns, groups, coercion in
  1454. 1:04:23in order to either oblide some voters to
  1455. 1:04:26vote or dismiss and block some voters to
  1456. 1:04:29showing up uh to the polls. So these are
  1457. 1:04:32problems that have been around for
  1458. 1:04:34decades in many low and middle inome
  1459. 1:04:35countries that we all know about and
  1460. 1:04:38that can be problems when we think about
  1461. 1:04:40political accountability. Compounded
  1462. 1:04:43into those problems, I want to emphasize
  1463. 1:04:45two more things that are becoming more
  1464. 1:04:48and more important uh these days. One is
  1465. 1:04:51polarization and of course in many poor
  1466. 1:04:53and and developing countries
  1467. 1:04:55polarization is an issue especially for
  1468. 1:04:57example when v people vote along ethnic
  1469. 1:05:00lines. So they can be important issues
  1470. 1:05:03of polarization along ethnic lines for
  1471. 1:05:05example. But nowadays even polarization
  1472. 1:05:08in terms of ideology and increases in
  1473. 1:05:10polarization can make politicians less
  1474. 1:05:12accountable when someone would rather
  1475. 1:05:15have their own corrupt politician rather
  1476. 1:05:18than for example voting on someone from
  1477. 1:05:20the other tribe.
  1478. 1:05:22The second thing is the rise of social
  1479. 1:05:26media and the spread of fake news and
  1480. 1:05:29the at the same time decline for example
  1481. 1:05:32of professional newspapers etc. that
  1482. 1:05:36makes information very abundant but way
  1483. 1:05:39less credible. And because we're we're
  1484. 1:05:42saying that information is key in order
  1485. 1:05:43to allow voters to learn about the type
  1486. 1:05:46and the quality and the effort of
  1487. 1:05:48politicians, then widespread social
  1488. 1:05:50media and fake news can really be a
  1489. 1:05:52problem and a threat to the way that we
  1490. 1:05:55think about uh accountability.
  1491. 1:05:58So, I'm going to stop there. I think I'm
  1492. 1:06:00already uh out of time. I guess we have
  1493. 1:06:03some minutes for questions. So, KB, I'm
  1494. 1:06:06gonna uh
  1495. 1:06:08get it back to you.
  1496. 1:06:10>> Thanks so much, Claudio and Fred. Um I
  1497. 1:06:13can see that some questions were
  1498. 1:06:14answered throughout in the chat, but now
  1499. 1:06:16is obviously the main time where where
  1500. 1:06:18we can ask. Um if there are participants
  1501. 1:06:21that would like to maybe come and ask uh
  1502. 1:06:24as a live panelist, raise your hand and
  1503. 1:06:26I can see if I can promote you.
  1504. 1:06:28Otherwise, we'll just kind of toggle
  1505. 1:06:29back and forth between who we have here
  1506. 1:06:31and the ones in the chat.
  1507. 1:06:34So Masoud maybe we'll start with you.
  1508. 1:06:40>> Um salutations. Thank you professor. Um
  1509. 1:06:44my question is uh regarding the the
  1510. 1:06:46modeling of the first lecture in the
  1511. 1:06:48first lecture and then the results in
  1512. 1:06:51the latter lecture. In the first
  1513. 1:06:53lecture, um, corruption and and the the
  1514. 1:06:57best action of each politician is
  1515. 1:07:00defined as if the politician acts
  1516. 1:07:02according to the world in accordance
  1517. 1:07:04with the world, the world will duly
  1518. 1:07:07reward him. But the problem with this
  1519. 1:07:10model is that uh I do not understand
  1520. 1:07:13that when when when did we concluded
  1521. 1:07:16that if the politician and always if a
  1522. 1:07:18politician acts in accordance with the
  1523. 1:07:21world the world will provide voters with
  1524. 1:07:25any kind of rewards or benefits it in in
  1525. 1:07:28many cases for example what comes to my
  1526. 1:07:31mind in uh when the Carter was the
  1527. 1:07:35president of United States that wasn't
  1528. 1:07:37the case I believe Carter believed act
  1529. 1:07:39in his best interest of his people but
  1530. 1:07:42the world did not actually reward him or
  1531. 1:07:44his people. So when the result came in
  1532. 1:07:48when the empirical when the empirical
  1533. 1:07:50result came in there were more about the
  1534. 1:07:52allocation of results the the perfect
  1535. 1:07:55allocation of results than what the
  1536. 1:07:58model actually was about. The model was
  1537. 1:08:00about getting the rewards but the
  1538. 1:08:02empirical results was about changing the
  1539. 1:08:05actions of the politician regarding how
  1540. 1:08:09they anticipate the behavior of the
  1541. 1:08:12voters not the reward or or the how the
  1542. 1:08:16world are going to are is going to
  1543. 1:08:20reward the their own their actions. uh
  1544. 1:08:23in reality they were anticipating how
  1545. 1:08:26the voters will react to their actions
  1546. 1:08:31not how the world will react whether to
  1547. 1:08:33the voters or whether to the
  1548. 1:08:38>> so I can start and then Claudia you can
  1549. 1:08:40jump in. I I went over the model uh
  1550. 1:08:42fairly fast. So the so let me just
  1551. 1:08:46restate the main purpose of the model.
  1552. 1:08:48The main purpose of the model is to
  1553. 1:08:50highlight the incentives that
  1554. 1:08:53politicians face when delivering public
  1555. 1:08:56goods or deciding to extract rent.
  1556. 1:09:00And what the model makes very clear
  1557. 1:09:01based on its structure is that when
  1558. 1:09:05politicians have reelection incentives,
  1559. 1:09:08they're going to behave differently
  1560. 1:09:11than politicians who don't have
  1561. 1:09:13re-election incentives. So that's why
  1562. 1:09:15all the subsequent papers are testing
  1563. 1:09:18this behavior of politicians, right?
  1564. 1:09:21They're trying to understand, oh, when
  1565. 1:09:23faced with this incentive,
  1566. 1:09:26are politicians going to behave
  1567. 1:09:28differently than not? And so that's
  1568. 1:09:30that's the link between the model and
  1569. 1:09:34and the empirical uh results that then
  1570. 1:09:37follow.
  1571. 1:09:39>> I see. But my point is whether if the
  1572. 1:09:42incentive is
  1573. 1:09:46uh how we anticipate the water's
  1574. 1:09:48reaction
  1575. 1:09:51or how we how we perceive the actual
  1576. 1:09:55consequences of the politician's actions
  1577. 1:09:59because there are two different things.
  1578. 1:10:02One politician
  1579. 1:10:04may act in accordance with what he
  1580. 1:10:06thinks the water realtors will perceive
  1581. 1:10:08that that this action will reward them
  1582. 1:10:10but that action will not actually reward
  1583. 1:10:12the voters. Okay. How you modeled your
  1584. 1:10:16um question, how you model how how you
  1585. 1:10:18model that is there was a connection
  1586. 1:10:21between how the action will uh the world
  1587. 1:10:24how how will reward the action but the
  1588. 1:10:26empirical data will more likely uh to
  1589. 1:10:30the spectrum that they show that how uh
  1590. 1:10:32voters will treat the anticipation and
  1591. 1:10:34the perception of voters how how they
  1592. 1:10:37try to manipulate that and there's a
  1593. 1:10:39difference and I I like to know your
  1594. 1:10:41opinion on that. Sure there's uh yeah of
  1595. 1:10:45course there's there's a difference the
  1596. 1:10:47the the point of the model as and I
  1597. 1:10:50think uh Patrick Francois highlighted
  1598. 1:10:52this in his lecture is that you know
  1599. 1:10:54there's certain empirical tests one
  1600. 1:10:57would be to test the assumption of the
  1601. 1:10:59model which is something that Clauddio
  1602. 1:11:01presented in the second half the other
  1603. 1:11:03is to test the implications of the model
  1604. 1:11:06now all models are going to be
  1605. 1:11:07reductionist in some sense um but you
  1606. 1:11:11know and so and So you know it's not
  1607. 1:11:14going to capture exactly every aspect
  1608. 1:11:17that and in fact it's up to you as a
  1609. 1:11:19researcher to decide what is the aspect
  1610. 1:11:22that you're trying to explain. Are you
  1611. 1:11:24trying to explain differences in the
  1612. 1:11:27behavior of politicians or are you
  1613. 1:11:29trying to explain the phen you know a
  1614. 1:11:32phenomenon in which politicians may act
  1615. 1:11:35appropriately and yet still voters may
  1616. 1:11:38still not uh be rewarded in some sense.
  1617. 1:11:41So those are, you know, it depends for
  1618. 1:11:44that latter question. Maybe you wouldn't
  1619. 1:11:46use a political agency model in that
  1620. 1:11:48case. But what's important for me, I
  1621. 1:11:50want to make sure that you understand is
  1622. 1:11:51that in these models, voters don't
  1623. 1:11:54observe the actions of politicians.
  1624. 1:11:56That's the that's the entire point of
  1625. 1:11:58this model because if they did observe
  1626. 1:12:00the pol the actions of politicians, then
  1627. 1:12:02there wouldn't be this asymmetry in
  1628. 1:12:05information and and so they can and they
  1629. 1:12:07can punish the politician accordingly.
  1630. 1:12:09So it's precisely because they don't
  1631. 1:12:11observe the action and they only observe
  1632. 1:12:13the state of the world or the benefits
  1633. 1:12:16uh you know either all the time or you
  1634. 1:12:19know some of the times that you get that
  1635. 1:12:22you get uh that it delivers the
  1636. 1:12:25predictions that that that we see.
  1637. 1:12:28Thanks so much. Um we have a few
  1638. 1:12:31questions in in the chat around kind of
  1639. 1:12:33the accountability failures in
  1640. 1:12:35developing countries and I guess the
  1641. 1:12:38underlying concern or or or core
  1642. 1:12:40question is that the model assumes um
  1643. 1:12:44that elections will discipline the
  1644. 1:12:45politicians but sometimes that doesn't
  1645. 1:12:47happen and so there is a one question
  1646. 1:12:50from more blessing who asks why do
  1647. 1:12:54accountability mechanisms fail in
  1648. 1:12:56developing countries even when
  1649. 1:12:57democratic institutions exist Is it an
  1650. 1:13:00issue of democracy itself or more the
  1651. 1:13:03inability of the institution to
  1652. 1:13:05constrain power?
  1653. 1:13:09Uh I can I can start and then so this
  1654. 1:13:13was something that that Claudia alluded
  1655. 1:13:15to in his last slide which if you you
  1656. 1:13:17know if you wanted to read our h
  1657. 1:13:19handbook chapter we go into quite you
  1658. 1:13:21know quite some depth uh because the
  1659. 1:13:23question that that we try to address in
  1660. 1:13:25that is precisely why are these
  1661. 1:13:29democracies malf what we would call
  1662. 1:13:31malfunctioning now you're exactly right
  1663. 1:13:34like the you know the model that that I
  1664. 1:13:37presented today that we also present in
  1665. 1:13:38the handbook chapter takes you know this
  1666. 1:13:41very strong assumption that we do have
  1667. 1:13:44free and fair elections right and so if
  1668. 1:13:47you re if you you know relax that
  1669. 1:13:49assumption then it you know the then the
  1670. 1:13:53world gets much more complicated because
  1671. 1:13:55and this is exactly what we see in a lot
  1672. 1:13:58of uh lower inome countries which is you
  1673. 1:14:01know the as Clauddio mentioned the use
  1674. 1:14:02of political violence the use of uh
  1675. 1:14:06election rigging
  1676. 1:14:07the use of vote buying, clientalism, all
  1677. 1:14:10of these things, you know, work to
  1678. 1:14:13weaken these accountability mechanisms.
  1679. 1:14:17Um, you know, even, you know, why is it
  1680. 1:14:20that why is it that uh politicians will
  1681. 1:14:23buy media markets or
  1682. 1:14:27imprison uh or you know, you know,
  1683. 1:14:30imprison uh uh journalists and not let
  1684. 1:14:33them into their press conferences and so
  1685. 1:14:35forth. Again, those are those are
  1686. 1:14:37actions that politicians take to weaken
  1687. 1:14:40what we would then call diagonal
  1688. 1:14:42accountability. And so, you know, there,
  1689. 1:14:44you know, there are in the model that we
  1690. 1:14:46present, our actors are very our
  1691. 1:14:48politicians are very limited in their
  1692. 1:14:50actions. All they can do is provide
  1693. 1:14:52public goods or steal and a much you
  1694. 1:14:55know, as we know from from experience
  1695. 1:14:58and from viewing the world, politicians
  1696. 1:15:01can do much more. They can engage in
  1697. 1:15:02buying. they can, you know, threaten
  1698. 1:15:04their their their enemies. They can do a
  1699. 1:15:07variety of different things that we see
  1700. 1:15:09in the news almost constantly. And so
  1701. 1:15:11that's, you know, it's it's those types
  1702. 1:15:14of additional actions that we feel
  1703. 1:15:16weaken this accountability mechanisms
  1704. 1:15:18that we, you know, that we wrote in
  1705. 1:15:20theory. Um, and so
  1706. 1:15:26>> great.
  1707. 1:15:29Well, uh, let's go then go back to a few
  1708. 1:15:32of our our live attendees.
  1709. 1:15:35Emagos, do you want to ask your question
  1710. 1:15:38and then we'll move to Hillary. And if I
  1711. 1:15:40could just ask that we keep the question
  1712. 1:15:42quite brief so we can hear as many as
  1713. 1:15:44possible.
  1714. 1:15:54>> Okay. Thank you, professors Clauddio and
  1715. 1:15:57Fred. Um I have a couple of questions
  1716. 1:15:59actually and all of them are centered
  1717. 1:16:01around the relationship between these
  1718. 1:16:04incentives we are talking about and then
  1719. 1:16:07accountability
  1720. 1:16:08especially when politics itself is
  1721. 1:16:11framed or conceptualized as as as a
  1722. 1:16:14game. So I want you to understand if uh
  1723. 1:16:18institutions that are supposed to
  1724. 1:16:19enforce accountability are
  1725. 1:16:22themselves controlled by actors that are
  1726. 1:16:25participating in the political game.
  1727. 1:16:27then who actually creates the incentive
  1728. 1:16:30to be accountable and then two I would
  1729. 1:16:33love to know if um we can actually find
  1730. 1:16:36some ground on which we can rationalize
  1731. 1:16:38asking politicians to behave against the
  1732. 1:16:42um uh the very incentives that are
  1733. 1:16:46generated by the political system when
  1734. 1:16:48in fact or should I say perhaps now um
  1735. 1:16:52it is the duty of institutional design
  1736. 1:16:54to [clears throat] like change the
  1737. 1:16:56payoff of structure to change the payoff
  1738. 1:16:59structure for um for the game itself. So
  1739. 1:17:02I don't know if you understand the
  1740. 1:17:03question. So they're actually two in
  1741. 1:17:05one. The first is the relationship
  1742. 1:17:07between accountability and then
  1743. 1:17:09incentive because I want to know um in
  1744. 1:17:13developing economies we know that there
  1745. 1:17:15are certain institutions that actually
  1746. 1:17:17exist but those institutions are
  1747. 1:17:19controlled by actors that are already
  1748. 1:17:20participating in the political game. So
  1749. 1:17:22in that instance who actually provides
  1750. 1:17:25the incentive for these politicians to
  1751. 1:17:27be accountable to the people. And then
  1752. 1:17:29the second one as I said I would love to
  1753. 1:17:31know if um we can rationalize asking
  1754. 1:17:34politicians to behave against the
  1755. 1:17:35incentives that are generated by the
  1756. 1:17:37political system itself when I think it
  1757. 1:17:40is the duty of institutional design to
  1758. 1:17:42change the payoff structure for the
  1759. 1:17:43game. Thank you Sam.
  1760. 1:17:46>> Okay I I can start answering that. So,
  1761. 1:17:49so I think those are two really good
  1762. 1:17:52questions. Uh, on the first one,
  1763. 1:17:58part of what a future lecture is going
  1764. 1:18:00to bring is going to be a discussion
  1765. 1:18:01about political selection that we have
  1766. 1:18:04not discussed here like like who are
  1767. 1:18:06politicians, where do they come from, uh
  1768. 1:18:09what do they represent, how do political
  1769. 1:18:11parties select them, like that part
  1770. 1:18:14we're not discussing here. We're
  1771. 1:18:15starting here saying look these are the
  1772. 1:18:17politicians. How do we make them behave
  1773. 1:18:20better? But then there's a question
  1774. 1:18:22about selection, right? Like who are
  1775. 1:18:24these people? How do political parties
  1776. 1:18:26bring people into the political system,
  1777. 1:18:29etc. And how people self- select? Who
  1778. 1:18:31are the types of people that want to be
  1779. 1:18:33a politicians in in a country? Do they
  1780. 1:18:35want to do they have civic virtue or do
  1781. 1:18:38they just want to to get rich for
  1782. 1:18:40example? Right? Uh so in the future
  1783. 1:18:43lecture, I think there's going to be
  1784. 1:18:45some discussion of that.
  1785. 1:18:48uh that is also related to your second
  1786. 1:18:50question because the types of people
  1787. 1:18:52that run for office are a response of
  1788. 1:18:54the institutional design, right? So, so
  1789. 1:18:57countries have institutions that will
  1790. 1:19:00map what do you need in order to get
  1791. 1:19:03elected? Is it a proportional
  1792. 1:19:04representation or a majoritarian system
  1793. 1:19:06for example? What's the role of
  1794. 1:19:08political parties? How do political
  1795. 1:19:10parties get funding? all those rules,
  1796. 1:19:12they're written rules that will affect
  1797. 1:19:15the power that parties have and the
  1798. 1:19:18self- selection to who runs for office.
  1799. 1:19:20So, so I think the question that you're
  1800. 1:19:22asking about can we expect people to
  1801. 1:19:25behave in different way if that's the
  1802. 1:19:27incentive that the rules create, I think
  1803. 1:19:29the answer is no. I think people are
  1804. 1:19:30rational and they're responding exactly
  1805. 1:19:32to the incentives that are created by
  1806. 1:19:34the political system. And if we want to
  1807. 1:19:38transition to reduce corruption, improve
  1808. 1:19:42public service delivery, we need to
  1809. 1:19:44think of what are the rules of the game
  1810. 1:19:46that we create the right incentives for
  1811. 1:19:48people to behave in the right way. Now
  1812. 1:19:51that might not be enough, right? So, so
  1813. 1:19:53maybe it's necessary, but it's not a
  1814. 1:19:55sufficient condition because a lot
  1815. 1:19:57[snorts] of it does come from culture. A
  1816. 1:20:01lot of it does come from informal rules
  1817. 1:20:05of the game, right? And and that's the
  1818. 1:20:07distinction that Fred made in the
  1819. 1:20:08beginning between the rules that are
  1820. 1:20:10written down visav officially what's
  1821. 1:20:12going on. You can have a very detailed
  1822. 1:20:14limit on campaign financing rule in a
  1823. 1:20:17country but 80% of the politicians get
  1824. 1:20:20their money under the table in an
  1825. 1:20:21illegal market and therefore is useless
  1826. 1:20:24to have that ruled. Right? So I think
  1827. 1:20:26those are really really important
  1828. 1:20:28questions that I think we're just
  1829. 1:20:30beginning to understand the answer in
  1830. 1:20:32terms of empirical evidence.
  1831. 1:20:35>> Thank you so much sir.
  1832. 1:20:39>> Thank you Mr. Garass. Hillary would you
  1833. 1:20:41like to ask your question?
  1834. 1:20:44>> Yes. Yes. Uh my question is very clear
  1835. 1:20:46prof I'm Hillary from Kenya Nairobi. uh
  1836. 1:20:50we have seen uh post uh January 6th uh
  1837. 1:20:54of the United States and now the
  1838. 1:20:56low-inccome countries or middle inome
  1839. 1:20:58countries like in Kenya now applying the
  1840. 1:21:01use of informal groups and militias to
  1841. 1:21:03try to tame their uh the public or
  1842. 1:21:07supporter or anti-uporters uh for them
  1843. 1:21:10is this the new emerging area for
  1844. 1:21:12political uh experiency and how is that
  1845. 1:21:15now working with the model that you
  1846. 1:21:17presented earlier? Thank you.
  1847. 1:21:26Am I clear?
  1848. 1:21:29>> Yeah, I got that. Um, sorry, Fred.
  1849. 1:21:34>> Go ahead, Fred, if you want.
  1850. 1:21:37>> Sorry, he broke up on my end. Can you
  1851. 1:21:38repeat the question?
  1852. 1:21:42Yeah, my question is just about the use
  1853. 1:21:45of informal groups, militias to
  1854. 1:21:48basically bring political order against
  1855. 1:21:51the use of formal government channels
  1856. 1:21:53like police because of the
  1857. 1:21:55institutionalization of certain
  1858. 1:21:56accountability oversight mechanisms that
  1859. 1:21:58would hold police to account. And we see
  1860. 1:22:01this system is uh mirrors what happened
  1861. 1:22:04in the on the 6th of January in in the
  1862. 1:22:08United States and many other countries
  1863. 1:22:10in in Africa. Now do you find the state
  1864. 1:22:12is using militia to defend their
  1865. 1:22:14position?
  1866. 1:22:15That would be my question.
  1867. 1:22:19>> Yeah. So that that I mean so that's been
  1868. 1:22:22going on for quite some time, right? So
  1869. 1:22:24even before January 6, it's you know
  1870. 1:22:27been going on in Latin America for a
  1871. 1:22:29long time. It it speaks to, you know,
  1872. 1:22:32this issue of of, you know, the monopoly
  1873. 1:22:35of violence that the state has um and
  1874. 1:22:38whether, you know, to what extent do
  1875. 1:22:40they do they do they control uh
  1876. 1:22:44control the the the you know, allow for
  1877. 1:22:47it. And so um you know how that you know
  1878. 1:22:51how that you know speaks to
  1879. 1:22:53accountability I I would put that more
  1880. 1:22:55in the in the category that we've
  1881. 1:22:57already discussed with uh which is you
  1882. 1:23:00know the use of political violence.
  1883. 1:23:02Political violence doesn't necessarily
  1884. 1:23:04have to be before an election. It can
  1885. 1:23:05also be after the election. Um and we've
  1886. 1:23:08seen and we've seen plenty of examples
  1887. 1:23:10of that and we highlight several
  1888. 1:23:12examples in in the in the chapter. So um
  1889. 1:23:16maybe I missed some other aspect of the
  1890. 1:23:18question but uh this is you know this is
  1891. 1:23:21this is very much a way in which the
  1892. 1:23:24government uh uh weakens accountability
  1893. 1:23:27in a in a very uh serious way.
  1894. 1:23:35>> Yes. Okay. I'm okay.
  1895. 1:23:40>> Great. Um well there are a couple
  1896. 1:23:42questions in the chat about I think
  1897. 1:23:45there there's a huge number of
  1898. 1:23:47participants from subsaharan Africa and
  1899. 1:23:49many are are saying some sort of
  1900. 1:23:52variation of the question of uh how how
  1901. 1:23:57do elections in subsaharan Africa
  1902. 1:23:59actually redistribute bargaining power
  1903. 1:24:01between citizens and policies when
  1904. 1:24:03there's so much inequality and and do
  1905. 1:24:07you have any suggestions on what
  1906. 1:24:09accountability mechanisms might be most
  1907. 1:24:11appropriate for for things like um when
  1908. 1:24:16a political party has already started
  1909. 1:24:18saying that they've won the election
  1910. 1:24:19before they actually do and they all and
  1911. 1:24:23they do um and pushing any, you know,
  1912. 1:24:26the narrative that any outcome that's
  1913. 1:24:29not the outcome they want is fraud. I
  1914. 1:24:32also want to say that this happens
  1915. 1:24:34certainly outside of this case was
  1916. 1:24:37Nigeria or subs Africa. We're seeing it
  1917. 1:24:39all over the place. So maybe just a
  1918. 1:24:41chance to respond to that.
  1919. 1:24:52I mean, I have a couple of thoughts, but
  1920. 1:24:54if if uh I mean, look, there I mean this
  1921. 1:24:59is this isn't based on any research
  1922. 1:25:02evidence that we've have. Well, with the
  1923. 1:25:03exception of one one example that I'll
  1924. 1:25:05give, but like um you know, it's not a
  1925. 1:25:08perfect solution, but uh independent
  1926. 1:25:11election observers is is is critical for
  1927. 1:25:15trying to ensure that there it's a free
  1928. 1:25:17and fair election. We have plenty of
  1929. 1:25:19evidence that that that can be an
  1930. 1:25:21effective policy uh in in in making, you
  1931. 1:25:26know, and in increasing the integrity of
  1932. 1:25:28of an election. Um the the other issue
  1933. 1:25:33is is which has been pointed out uh
  1934. 1:25:37uh in the literature is that in a lot of
  1935. 1:25:39countries in subsaharan Africa voting uh
  1936. 1:25:42along ethnic lines is so powerful that
  1937. 1:25:46you know that's also perhaps a root of
  1938. 1:25:49the problem. Although there is, you
  1939. 1:25:50know, interesting work by by Katherine
  1940. 1:25:53Casey who's going to be a speaker uh uh
  1941. 1:25:56you know, in a in a couple weeks who has
  1942. 1:25:59shown that like that voters are willing
  1943. 1:26:02to cross party lines when they're given,
  1944. 1:26:05you know, better information about the
  1945. 1:26:07candidates. And so she's done a lot of
  1946. 1:26:09work trying to you know institutionalize
  1947. 1:26:14debates within within you know within
  1948. 1:26:17Sierra Leone and other countries uh
  1949. 1:26:20precisely
  1950. 1:26:21by in order to provide voters with the
  1951. 1:26:24adequate information that they need to
  1952. 1:26:26make certain uh decisions about about
  1953. 1:26:28who to elect and hope and then and maybe
  1954. 1:26:31that will break up some of the the the
  1955. 1:26:34voting along along ethnic lines which
  1956. 1:26:36which really dampens accountability,
  1957. 1:26:38right? So, um it's it's easy to show
  1958. 1:26:42theoretically and in fact there's a
  1959. 1:26:44annual review piece that I that I wrote
  1960. 1:26:46with with um with Ernesto Delo that if
  1961. 1:26:51if you have strong party affiliations,
  1962. 1:26:53whether it's through ethnicity, whether
  1963. 1:26:54it's through religion, where you're
  1964. 1:26:56willing to, you know, you basically are
  1965. 1:26:58just going to vote for the person for
  1966. 1:27:00the group member that you belong, you're
  1967. 1:27:02going to lower the average quality of
  1968. 1:27:04politicians in that case. And so, um,
  1969. 1:27:07and so that's something that that will
  1970. 1:27:09probably be discussed when when we
  1971. 1:27:12discuss political selection in in a
  1972. 1:27:13couple weeks.
  1973. 1:27:23Shall we move on to the last question
  1974. 1:27:24then?
  1975. 1:27:26Great. Okay. Um, Rohan, do you want to
  1976. 1:27:30ask your question?
  1977. 1:27:34>> Hi. Um thank you so much for the
  1978. 1:27:37lecture. Uh I have a completely
  1979. 1:27:39non-technical question. Um so something
  1980. 1:27:42that I found helpful in your papers is
  1981. 1:27:44your discussion of kind of how
  1982. 1:27:46corruption plays out in practice. So for
  1983. 1:27:48example over invoicing or um fraudulent
  1984. 1:27:51procurement. Um, and my question is,
  1985. 1:27:54what kinds of resources and experiences
  1986. 1:27:58do you use personally and do you
  1987. 1:28:00recommend to kind of inform your
  1988. 1:28:03practical understanding of how
  1989. 1:28:04corruption plays out? Um, for context, I
  1990. 1:28:07was in a political economy seminar um,
  1991. 1:28:09where this question was asked and the
  1992. 1:28:11presenter said, you know, go watch the
  1993. 1:28:13mechanism um, or mechanism on Netflix.
  1994. 1:28:16So, I'm I'm curious about your thoughts
  1995. 1:28:18and recommendations on that. Thanks.
  1996. 1:28:23Uh
  1997. 1:28:25I mean so what what I'm going to answer
  1998. 1:28:28I think is just a general uh answer not
  1999. 1:28:31necessarily only to our work but but in
  2000. 1:28:34general right I think the knowledge of
  2001. 1:28:36what's going on comes from a mix between
  2002. 1:28:40reading local news and what journalists
  2003. 1:28:44talk about
  2004. 1:28:46uh and also talking to people uh more on
  2005. 1:28:50the ground both auditor s and and people
  2006. 1:28:53in governments and things like that,
  2007. 1:28:55right? So, so I think that's something
  2008. 1:28:56that in general uh development
  2009. 1:29:00economists need to do for like any type
  2010. 1:29:01of mechanism they trying to understand
  2011. 1:29:03on any paper uh to be honest, not not
  2012. 1:29:06ours. I mean, in our case, Fred and I
  2013. 1:29:08spent uh many many afternoons reading uh
  2014. 1:29:12audit reports and then reading
  2015. 1:29:13newspapers and then in Brazil talking to
  2016. 1:29:17people. So, so I think it's is really a
  2017. 1:29:19combination of all these different
  2018. 1:29:21things that I think allows you to
  2019. 1:29:24understand what's going on. In our case,
  2020. 1:29:26the audit reports were really detailed.
  2021. 1:29:28So, really helped us in order to
  2022. 1:29:29understand what exactly were the
  2023. 1:29:31technologies that politicians and
  2024. 1:29:34bureaucrats were using to divert the
  2025. 1:29:37resources, right? But in other settings,
  2026. 1:29:40you might not have exactly that. You
  2027. 1:29:42might need to do say focus groups with
  2028. 1:29:44people and interview say policy makers
  2029. 1:29:47or interview individuals and then uh try
  2030. 1:29:50to understand that.
  2031. 1:29:52>> Thanks a lot.
  2032. 1:30:01>> I was on mute. Thanks so much everyone.
  2033. 1:30:04I think we're at time now so we will
  2034. 1:30:06have to to call it there. But big thank
  2035. 1:30:10you to Claudio and Fred for coming back,
  2036. 1:30:12for giving us another round. Um, and for
  2037. 1:30:16all of you for coming and attending. I
  2038. 1:30:17just want to flag that next week is our
  2039. 1:30:20halfway mark. Uh, and a really exciting
  2040. 1:30:23lecture by Adnan Khan and Asen Kuaja on
  2041. 1:30:26bureaucracy and implementation. So,
  2042. 1:30:28please make sure you you join for that.
  2043. 1:30:30It should be a great one. And uh, we'll
  2044. 1:30:33see you next week.
  2045. 1:30:35>> Yes. Thank you very much everyone for
  2046. 1:30:37for being here.
  2047. 1:30:39>> Thank you very much. Have a good day.
  2048. 1:30:42Thanks everyone.

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