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ECON20110 Fall 2013 - Lecture 8: Assessing Externalities — Transcript

by Glen Weyl · 11,555 words · 1,696 segments · language en · Watch on YouTube

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  1. 0:02okay so we left off last class by
  2. 0:05concluding that information was the key
  3. 0:08to uh determining externalities and
  4. 0:12externality policy
  5. 0:15um assessing externalities requires
  6. 0:17collecting the right information and as
  7. 0:20we discussed externalities tend to be
  8. 0:21cases when the information is either
  9. 0:23diffused among many members of the
  10. 0:25public or held by an expert who's not
  11. 0:28one of the parties directly involved
  12. 0:30um and that's what we're going to talk
  13. 0:32about today so some of the relevant
  14. 0:34information for assessing externalities
  15. 0:37is scientific Technical and usually best
  16. 0:40accessed by experts and some is
  17. 0:42subjective and held by uh dispersed uh
  18. 0:47individuals who are directly involved
  19. 0:50and this is problematic for policy often
  20. 0:52because you have to give these
  21. 0:53individuals an incentive to reveal that
  22. 0:55information and today we're going to
  23. 0:57talk about how to combine these two
  24. 0:58types of information and the trade-offs
  25. 1:00between ways of uh getting them so we'll
  26. 1:03start by talking about benefit cost
  27. 1:05analysis as an encompassing you just
  28. 1:07dropped
  29. 1:08a uh as an encompassing framework for
  30. 1:11this type of analysis we actually just
  31. 1:12held a conference on benefit cost
  32. 1:15analysis at the law school this past
  33. 1:17weekend uh on um Financial
  34. 1:22regulation um and then we'll talk about
  35. 1:26how scientific and Technical studies
  36. 1:28combined with economics play into these
  37. 1:30types of benefit cost
  38. 1:32analyses uh focusing on one particular
  39. 1:35ingredient that comes from economics
  40. 1:36which is the uh statistical value of
  41. 1:39human life and health and we'll go
  42. 1:42through an example of a benefit cost
  43. 1:44analysis probably the most ambitious and
  44. 1:46famous of these the stern review of the
  45. 1:48economics of climate change um we'll
  46. 1:51then talk about useful types of private
  47. 1:53and subjective
  48. 1:55information uh contingent valuation as a
  49. 1:57sort of naive first pass to addressing
  50. 2:00these issues and then we'll talk about
  51. 2:02the vicory Clark Groves mechanism as a
  52. 2:04way of dealing with the incentive
  53. 2:06problems that arise in these surveys
  54. 2:08okay so benefit cost analysis is a
  55. 2:11common Paradigm for um policy evaluation
  56. 2:16and it's supported by economists perhaps
  57. 2:18because it lines up so cleanly with the
  58. 2:20way that economists think about things
  59. 2:22it emphasizes the importance of
  60. 2:24tradeoffs pros and cons uh and is
  61. 2:27applied to a wide range of decisions
  62. 2:29like ins uting regulations building
  63. 2:31public projects and for our purposes
  64. 2:33determining the right level of caps for
  65. 2:35cap and trade uh of
  66. 2:38externalities uh for a paguan tax and of
  67. 2:41Damages for uh paguan taxes that are
  68. 2:44assessed through the legal
  69. 2:47system so the benefit I think of benefit
  70. 2:50cost analysis is that it provides a
  71. 2:52rigorous language to try to make commens
  72. 2:54orate different
  73. 2:57dimensions of uh of trade-offs in terms
  74. 3:01of dollars basically and the different
  75. 3:03dimensions of these trade-offs include
  76. 3:06direct harms of econom on uh economic
  77. 3:09resources how much uh resources are
  78. 3:12destroyed and how much the market value
  79. 3:14those second can be limits on the way in
  80. 3:16which you can use resources and again
  81. 3:19you have to use market prices to assess
  82. 3:21how valuable different uses of those
  83. 3:23resources are and therefore how harmful
  84. 3:25it is to limit the use away from its
  85. 3:26most valuable
  86. 3:28use um facts on human life and health
  87. 3:31which we'll talk more about soon
  88. 3:33intangible harms on subjectively valued
  89. 3:37resources which can be determined either
  90. 3:39uh inherently from an ethical Theory or
  91. 3:42be derived from how much individuals
  92. 3:44value those things in terms of their
  93. 3:46willingness to pay to preserve them okay
  94. 3:50so benefit cost analysis is often used
  95. 3:53to make big public decisions such
  96. 3:56as instituting a new regulation on an
  97. 3:59indust indry building a public project
  98. 4:02in some or building a public project in
  99. 4:04some location but the same basic
  100. 4:06methodology applies to determining
  101. 4:09externalities such as determining the
  102. 4:10right level of beian tax you need to add
  103. 4:13up all the marginal external cost and
  104. 4:16benefits um and it requires considering
  105. 4:20the same list of factors that we just
  106. 4:22discussed uh another common application
  107. 4:25is to assess damages in a court case so
  108. 4:28when uh there's there's a big lawsuit
  109. 4:30brought that involves uh economic
  110. 4:32damages often economists are hired to do
  111. 4:35these analyses in fact that's one very
  112. 4:37common form of Consulting by
  113. 4:39economists and as we discussed in the
  114. 4:42last lecture these damages effectively
  115. 4:44act as a form of pigouvian
  116. 4:46tax uh benefit cost analysis can Al also
  117. 4:49often be used to determine the optimal
  118. 4:52level of a cap for cap and trade and in
  119. 4:55some ways this is the closest to Classic
  120. 4:57benefit cost analysis you determine the
  121. 4:59best level for such a cap and often the
  122. 5:02choice is discretized so it's almost
  123. 5:04like making a choice about a
  124. 5:07project and these analyses are
  125. 5:09undertaken by
  126. 5:11economists uh or uh either directly or
  127. 5:15that are commissioned by courts or hired
  128. 5:17by bureaucracies in the
  129. 5:19government so a crucial element in all
  130. 5:22of these benefit cost analyses is
  131. 5:24technical um what are the physical
  132. 5:28effects that actually follow from some
  133. 5:30particular action and this typically
  134. 5:33requires detailed knowledge of an
  135. 5:35interaction with among other disciplines
  136. 5:37physicists so for example if you're
  137. 5:39trying to think about the benefits and
  138. 5:41costs of nuclear power you need to
  139. 5:43determine you know what are the chances
  140. 5:45of a nuclear reactor having some
  141. 5:48disaster uh what are the chances of CERN
  142. 5:50I don't know if you guys know what CERN
  143. 5:51is it's this particle accelerator in
  144. 5:54Switzerland and a long time ago I guess
  145. 5:57by your standards but a short time ago
  146. 5:59by by my standards when you guys were
  147. 6:00probably in middle school there was all
  148. 6:02sorts of debate about whether CERN would
  149. 6:04blow up the world uh some people said
  150. 6:08that CERN would uh tear the universe a
  151. 6:11new uh and uh but that didn't
  152. 6:15happen so there was but you know there
  153. 6:16was some very very small probability of
  154. 6:18that and you had to assess how large
  155. 6:20that probability was right
  156. 6:23um uh chemistry can also be useful so
  157. 6:25for example if you put SO2 uh sulfur
  158. 6:29oxide into the atmosphere it can cause
  159. 6:31acid rain and chemistry can help us
  160. 6:33determine how much acid rain and how
  161. 6:35severe it will cause or you know it can
  162. 6:37help us determine if you pollute a lake
  163. 6:38what will be the effect on the chemistry
  164. 6:40of that Lake epidemiology can help us
  165. 6:42determine if we vaccinate certain people
  166. 6:45how uh much will that reduce disease in
  167. 6:47the population more generally ecology
  168. 6:50can help us determine how fish stocks
  169. 6:51are affected by pollution or by
  170. 6:53overfishing or what ecosystem services
  171. 6:56will be eliminated by
  172. 6:58deforestation however of course all this
  173. 7:00stuff is useless unless you have the
  174. 7:02right economic backend on it right so we
  175. 7:04might be able to tell from physics
  176. 7:06what's the chance of a nuclear meltdown
  177. 7:08but it won't tell us what's the value of
  178. 7:10the land that will be lost and the lives
  179. 7:12that will be harmed by uh Fukushima
  180. 7:15right how valuable are the crops uh you
  181. 7:18know we can learn about acid rain and
  182. 7:19maybe even how many crops they'll
  183. 7:21destroy but to actually put a dollar
  184. 7:22value on that we need something coming
  185. 7:24from the market prices right or Futures
  186. 7:26prices or something like that um um if
  187. 7:30we want to know uh how we should treat
  188. 7:33the small risk of a catastrophic outcome
  189. 7:35like the CERN disaster you need to use
  190. 7:38uh the economics of dealing with
  191. 7:40uncertain outcomes like concave
  192. 7:43utilities for risk from expected utility
  193. 7:45Theory right um if we want to try to
  194. 7:49Value um the you know production we get
  195. 7:53from more pollution today against the
  196. 7:55destruction of fish in the future we
  197. 7:57need some uh
  198. 8:01um
  199. 8:03oops
  200. 8:07um we need some uh notion of the
  201. 8:10discount rate uh to trade off harms
  202. 8:13today against values tomorrow um Adam if
  203. 8:17we were trying to Value ecosystems
  204. 8:20services like things that came from the
  205. 8:22rainforest and that we might lose by
  206. 8:24destroying that what what are economic
  207. 8:26factors that might enter into figuring
  208. 8:28that out we probably look at like the
  209. 8:32past on how like it has effective
  210. 8:34medicine um and then
  211. 8:37um and then I guess um account for the
  212. 8:41price of the price of those drugs or the
  213. 8:44consumer surplus that was associated
  214. 8:45with those drugs being created
  215. 8:48right
  216. 8:51um another question that we might ask is
  217. 8:55you know how much our lives or the
  218. 8:59health ruined by diseases in the
  219. 9:01epidemiological example worth um and
  220. 9:04we're going to turn to that in just a
  221. 9:05minute um talking about uh the valuation
  222. 9:10of of human life so almost all of these
  223. 9:12benefit cost analyses involve some
  224. 9:14intimate connection of science with
  225. 9:16economic
  226. 9:18analysis um and perhaps the most famous
  227. 9:22input from economics is the value of
  228. 9:23human life the reason it's so famous is
  229. 9:26because it's so controversial because
  230. 9:27most people want to say well life is
  231. 9:30just invaluable there's no way to put a
  232. 9:31dollar number on life but of course this
  233. 9:34is completely inconsistent with the fact
  234. 9:36that people drive around in cars which
  235. 9:37endanger their lives maybe with small
  236. 9:39probability but not that small
  237. 9:41probability in exchange for all sorts of
  238. 9:43other benefits they get right so you
  239. 9:46know when people make decisions they do
  240. 9:47make trade-offs they take their life
  241. 9:48into their own hands they make
  242. 9:50trade-offs between their life and other
  243. 9:52benefits they can get and when the
  244. 9:54government makes decisions it has to do
  245. 9:55the same thing it just has no choice
  246. 9:57right um
  247. 10:00and in particular the wealthy have a lot
  248. 10:02more money to spend on trying to
  249. 10:04preserve their lives and we know that
  250. 10:06wealthier people get better Healthcare
  251. 10:07they do all sorts of things so that
  252. 10:09means that they must in dollar terms put
  253. 10:11a greater value on their life than poor
  254. 10:13people do and so if the government wants
  255. 10:16to make consistent decisions it's going
  256. 10:17to have to do the same thing so that
  257. 10:20leads to the conclusion that a rich
  258. 10:21person's life is worth more than a poor
  259. 10:23persons in dollars which may seem unjust
  260. 10:26but you just have to think about this is
  261. 10:28one of the many things that that money
  262. 10:29buys money buys you a better house buys
  263. 10:32you a nicer car and it buys you the
  264. 10:34government putting a greater weight on
  265. 10:36your survival than a poor person's
  266. 10:39survival right now of course you could
  267. 10:40redistribute money so that that's so
  268. 10:43that the poor people can have more of
  269. 10:45everything that they want but not
  270. 10:47allowing people to make tradeoffs
  271. 10:49between the weight put on their life uh
  272. 10:52in Social calculations and other things
  273. 10:54that they want would just be inefficient
  274. 10:56right the poor would not want they would
  275. 10:59rather have a little bit less weight put
  276. 11:01on preserving their life and a little
  277. 11:03bit more house or uh TV or car um and it
  278. 11:08would be inefficient not to allow people
  279. 11:11to make those trade-offs yeah Mike could
  280. 11:13you explain more why um like the fact
  281. 11:16that rich people can spend more money on
  282. 11:18things like healthcare like quality of
  283. 11:20life or whatever means that governments
  284. 11:22uh value their lives more when they do
  285. 11:25policy well government has to Value
  286. 11:27their life more or it would be
  287. 11:29inconsistent right those rich people are
  288. 11:31willing to pay more in order to have
  289. 11:33their life preserved so it would be
  290. 11:35inefficient for the government not to
  291. 11:37put a greater weight on preserving their
  292. 11:39lives because the government can make
  293. 11:40everyone better off by putting a greater
  294. 11:42weight on preserving those rich people's
  295. 11:43lives and then taxing those rich people
  296. 11:45for it right because they value okay so
  297. 11:50imagine that we had two policies one
  298. 11:53that could you know with some small
  299. 11:55probability kill a rich person or one
  300. 11:58that would the same probability could
  301. 12:00kill a poor person clearly it's better
  302. 12:03to implement the policy that would kill
  303. 12:05the poor person why is that uh because
  304. 12:08the you could tax the rich person and
  305. 12:10redistribute to the poor person and
  306. 12:12everyone would be better off because the
  307. 12:14poor person isn't willing to pay as much
  308. 12:16to reduce that chance of preserving
  309. 12:17their life and the rich person is
  310. 12:19willing to pay more right so it it would
  311. 12:22just be silly as social policy to say
  312. 12:25poor people have to have cars that are
  313. 12:29uh ugly liveing houses that are falling
  314. 12:32down get education that's bad for their
  315. 12:34kids but they get to have exactly the
  316. 12:38same amount of weight put on them in
  317. 12:41public decisions about health right that
  318. 12:44just wouldn't make any
  319. 12:47sense uh yeah philli because the fact
  320. 12:51that rich people also contribute a lot
  321. 12:54of tax dollars with their labor and thus
  322. 12:57losing a rich worker could be more
  323. 12:59harmful to the government than those a
  324. 13:02poort worker been also weigh in no this
  325. 13:05yeah so that also should be taken into
  326. 13:07account and in fact that's a good point
  327. 13:09that's a reason why actually the
  328. 13:13responsiveness of um that's actually a
  329. 13:16very good point so what we're going to
  330. 13:18see is that the
  331. 13:19elasticity of life with respect to
  332. 13:22income is
  333. 13:25approximately uh is is going to be less
  334. 13:28than one but one reason that that might
  335. 13:30be the case is because the government is
  336. 13:31taking some of the money uh and if the
  337. 13:34government's taking some of the money
  338. 13:35then the government should care more
  339. 13:37than the individuals themselves care
  340. 13:39about preserving their lives um yeah
  341. 13:42Mike we have policies that uh like impr
  342. 13:44preventing an like an epidemic or
  343. 13:47something uh do more for lower income
  344. 13:50people because rich people like have
  345. 13:52insurance or like things like that that
  346. 13:53would keep them or or like you know
  347. 13:55lower income people live in closer
  348. 13:57proximity to each other in some cases so
  349. 13:58like diseas or more likely to spread how
  350. 14:00how did those
  351. 14:01calculus uh fact I mean I think that in
  352. 14:03general you just have to Value people's
  353. 14:06lives as they value them themselves in
  354. 14:08dollars okay I mean I think that's the
  355. 14:11only efficient
  356. 14:12policy uh yeah Austin going off of that
  357. 14:15um how is like prospect theory and other
  358. 14:18behavioral uh corrections I guess worked
  359. 14:20into these prect so in fact the origin
  360. 14:24of pro of a lot of Behavioral stuff was
  361. 14:26studies of these types of things where
  362. 14:28they found that there was consistencies
  363. 14:29depending on how you frame the questions
  364. 14:32um and you know you I I think you get
  365. 14:35pretty sensible numbers out of these
  366. 14:38analyses um despite all the problems
  367. 14:40we'll discuss with them I think that's
  368. 14:42one problem but I think there's many
  369. 14:43other problems associated with these
  370. 14:44analysises that we'll go through but uh
  371. 14:47yeah Julian so is this analysis of does
  372. 14:51this still hold even if you don't
  373. 14:52redistribute we because seems like most
  374. 14:55public policies at least that I'm aware
  375. 14:57of don't do the kind of like here's how
  376. 15:00much benefits will tax them by that
  377. 15:02amount no that's not that's it doesn't
  378. 15:05require you to really redistribute the
  379. 15:06wealth because the truth is that like we
  380. 15:08choose the tax system and the amount of
  381. 15:12redistribution that we do to like
  382. 15:14roughly trade off the benefits of
  383. 15:16redistribution against the costs of
  384. 15:19reducing like the amount that people
  385. 15:21work right and as long as you're doing
  386. 15:24that tradeoff correctly then the value
  387. 15:27of a dollar to a rich person
  388. 15:29from a society's perspective and the
  389. 15:31value of a dollar to a per person should
  390. 15:33be equal otherwise you're not doing that
  391. 15:34tradeoff correctly right so in other
  392. 15:37words like the reason why I mean even
  393. 15:39though inherently the value to a dollar
  394. 15:40to a poor person is greater the thing is
  395. 15:43that giving it to the rich person also
  396. 15:45leads people to work harder to try to
  397. 15:47become that rich person and therefore
  398. 15:49generates more taxes for society that it
  399. 15:51can redistribute to the poor and as a
  400. 15:53result of that these things should like
  401. 15:55balance
  402. 15:56out uh yeah J sure the value be
  403. 15:59calculated based on willingness to pay
  404. 16:01and not how much they can pay because no
  405. 16:03it is willingness to pay that that
  406. 16:05that's the idea but if you ask a rich
  407. 16:07person and a poor person how much
  408. 16:09they're willing to pay to save their
  409. 16:10life they'll probably say the same
  410. 16:12amount but how much well if you ask them
  411. 16:14if you ask them but like what
  412. 16:16willingness to pay is how much you are
  413. 16:19actually willing to pay like out of the
  414. 16:22income that you could have for your
  415. 16:23lifetime right so that's how much you
  416. 16:25can pay right not how much you're will
  417. 16:27to pay well I don't think that that's
  418. 16:29true because the truth is that like
  419. 16:31people that would be true if everyone
  420. 16:34would be willing to pay their full
  421. 16:35lifetime income to preserve their life
  422. 16:37but that's not true like most people in
  423. 16:39order to reduce by 1% chance the chance
  424. 16:42that they die are only willing to pay a
  425. 16:44few $1,000 not all their lifetime wealth
  426. 16:47so it would if everyone was like running
  427. 16:48up against their lifetime budget
  428. 16:49constraint what you're saying might be
  429. 16:51true but that's not the
  430. 16:53case yeah Tanner so can we think of this
  431. 16:56as like payment and forance of product
  432. 16:58that the uh which person can afford to
  433. 17:00pay more for it their their life is
  434. 17:02worth
  435. 17:03more well I mean Becker would say that
  436. 17:07but I'm not sure I would say that like I
  437. 17:08I mean I think this is a Distributive
  438. 17:10question not a question of like it's a
  439. 17:12question of efficiency to make sure that
  440. 17:15you like equate these things in terms of
  441. 17:18like given someone's wealth what they
  442. 17:20get but I don't think that it's that
  443. 17:23they're
  444. 17:23being I mean the reason the rich person
  445. 17:26is making more money is because they
  446. 17:28have
  447. 17:29greater uh endowments we could
  448. 17:31redistribute those endowments from them
  449. 17:34but we talked about all the problems
  450. 17:35with doing that so given all those
  451. 17:37problems with doing that this is the
  452. 17:38best that we can achieve and still be
  453. 17:42efficient H yeah Philip if you take into
  454. 17:45account a typical discounting rate then
  455. 17:48is does a value of like a statistical
  456. 17:51life does someone seem lower than the
  457. 17:53their lifetime income because what from
  458. 17:55what I've been seeing the vsl numbers
  459. 17:58cost around they seem to be quite a bit
  460. 18:01more than at least a lot of the people
  461. 18:03on the lower end of the income
  462. 18:05distribution actually do make their
  463. 18:12lives I think it's pretty comparable
  464. 18:14with it but I agree with you okay I
  465. 18:17mean someone who makes $50,000 a year
  466. 18:21plus they're going to get some amount in
  467. 18:23government benefits in some
  468. 18:24sense you know times 20 which is roughly
  469. 18:29you know that should
  470. 18:33be that should be about a million and
  471. 18:36people are willing to pay about five
  472. 18:37times that to preserve their lives at
  473. 18:39that income so yeah that is valuing it
  474. 18:43more
  475. 18:45but
  476. 18:47um okay so there are three um
  477. 18:52categories uh of things that need to be
  478. 18:54measured for this purposes one is the
  479. 18:57statistical value of a life for someone
  480. 18:59at some income level the second is the
  481. 19:01value of other types of injuries like
  482. 19:05diseases and so forth and then you need
  483. 19:07to extrapolate this to other income
  484. 19:09levels using some income elasticity this
  485. 19:12is usually calculated to be about 6 or8
  486. 19:15though as Philip said it this should
  487. 19:17really be in some sense in post as a
  488. 19:19function of their post tax income rather
  489. 19:21than their pre-tax income because you
  490. 19:24know the government is taking some of
  491. 19:27their income and you want the government
  492. 19:29to value that part that they're taking
  493. 19:32uh greater as well okay yeah Phil just
  494. 19:36to be clear those numbers up there are
  495. 19:37for pre-tax income elasticity with
  496. 19:41respect to pre-tax I think so but I'm
  497. 19:42not completely sure okay I'm not
  498. 19:45completely um okay so the usual approach
  499. 19:49to measuring uh to measuring this is to
  500. 19:55assume that um the value
  501. 19:59is on uh the life that is like that you
  502. 20:05um die or live and the value that you
  503. 20:08place has nothing to do with the way in
  504. 20:10which you die right that's a crucial
  505. 20:12assumption and it's the basis of all the
  506. 20:14numbers we'll see though it's not all
  507. 20:15that realistic because you know if you
  508. 20:18really don't want to die by fire but
  509. 20:21you're happy to die by Ice uh then um
  510. 20:25you uh should obviously not have the
  511. 20:28same will to pay to avoid those two
  512. 20:30types of
  513. 20:31death um and the way that these things
  514. 20:35work is to look for cases where people
  515. 20:37have made trade-offs between these
  516. 20:39things like they're deciding whether to
  517. 20:41take dangerous work like mining or a
  518. 20:43safer job that's like along other
  519. 20:45dimensions similar or they're deciding
  520. 20:48whether to purchase a safe or unsafe car
  521. 20:51that are otherwise different and you
  522. 20:53look at the price differences as a
  523. 20:54measure of willingness to pay and that
  524. 20:57measures the willingness to pay have the
  525. 20:58marginal person who's just indifferent
  526. 21:00between these two choices you then treat
  527. 21:02everyone as if they're exactly the same
  528. 21:04as this marginal person now you can
  529. 21:06immediately see why this is so
  530. 21:08problematic imagine that the cost of a
  531. 21:10safety measure on a car like starts
  532. 21:13really high and gets low over time you
  533. 21:16know this would work if there was like
  534. 21:18one price at which suddenly everyone
  535. 21:20adopted that um that Innovation but in
  536. 21:24reality you know as you improve safety
  537. 21:27people are going to gradually move into
  538. 21:28into buying this car right and if that's
  539. 21:31the case then um then the uh marginal
  540. 21:37person is not going to be just uh
  541. 21:39representative of the whole population
  542. 21:41and we're going to get different numbers
  543. 21:42for this as the price of this Innovation
  544. 21:46comes down which seems pretty
  545. 21:48problematic right um in particular like
  546. 21:52if it were really true that everyone had
  547. 21:53the same value on their life then you
  548. 21:55could only get people to be indifferent
  549. 21:57to taking this job at like one
  550. 21:59particular price and we know that's
  551. 22:01almost certainly not the case that as
  552. 22:02the wages move or the prices move uh
  553. 22:05different numbers of people do it it's
  554. 22:07not like it just suddenly jumps and that
  555. 22:10um makes all this stuff somewhat
  556. 22:13suspect so however I think that what's
  557. 22:16beneficial about these numbers is they
  558. 22:17give you at least a rough order of
  559. 22:19magnitude sense uh that can be used in
  560. 22:21government calculations now you can also
  561. 22:24try to get more individually at this by
  562. 22:26trying to use surveys to get people like
  563. 22:29Joan was suggesting to say how much
  564. 22:30they're willing to pay but for the
  565. 22:32reasons I was talking about with Joan
  566. 22:33and we'll talk about a lot more that's a
  567. 22:34pretty problematic
  568. 22:36process okay so let's take a sample
  569. 22:40version of how one of these statistical
  570. 22:43life calculations works so imagine that
  571. 22:47um every year three of 2,000 coal miners
  572. 22:52working in a particular Coal Mine die
  573. 22:54and suppose that factory workers have
  574. 22:56comparable skills and the job are
  575. 22:58comparably pleasant but that only one in
  576. 23:00every 2,000 Factory workers dies each
  577. 23:02year and suppose that the coal mining
  578. 23:05company pays $4,000 more a year and
  579. 23:08assume that this is the only relevant
  580. 23:09difference between the jobs well then
  581. 23:11the difference in the chance of dying is
  582. 23:131 over 1,000 and in exchange for this
  583. 23:16you get $4,000 and so the value of your
  584. 23:19life to you would then be $4
  585. 23:22million okay so the real calculations
  586. 23:26are no more than detailed EC metric
  587. 23:28versions of these same
  588. 23:30calculations and to calculate income
  589. 23:32elasticities all you do is you look for
  590. 23:34a rich man's version of a coal mine
  591. 23:36whatever that is um okay so here's a
  592. 23:40bunch of studies that have looked at
  593. 23:41this they tend to find that statistical
  594. 23:44value of life is somewhere between $1
  595. 23:45and $10 million for like someone earning
  596. 23:48median US income something like that so
  597. 23:51this is a little bit dated so my guess
  598. 23:53it's a little bit more in present
  599. 23:54dollars it's probably closer to 10 to 15
  600. 23:56million
  601. 23:59okay so perhaps the most ambitious oh
  602. 24:02yeah do you have a question yeah sorry
  603. 24:03in the previous slide yeah when you said
  604. 24:07uh suppose the co mining isay $4,000
  605. 24:104,000 more yeah that's the coal mining
  606. 24:13so that's the company's cost for
  607. 24:14reducing worker risk
  608. 24:17right no no that's how much more they
  609. 24:20have to pay in order to get people to
  610. 24:21work at the co mine and accept the loss
  611. 24:24you
  612. 24:26see okay so perhaps the most ambitious
  613. 24:30uh benefit cost analysis of all time was
  614. 24:33the stern review of the economics of
  615. 24:35climate change which was commissioned by
  616. 24:37the British government along with other
  617. 24:38people and wanted to evaluate the
  618. 24:41economic benefits and costs associated
  619. 24:43with climate change and it did this in
  620. 24:45many stages um and Matas is matus here
  621. 24:50no um he
  622. 24:52dropped anybody else want to talk about
  623. 24:55like what the stern review did in order
  624. 24:57to Analyze This
  625. 25:04okay so it did basically four things so
  626. 25:08the first thing it did was to determine
  627. 25:09the largest sources of greenhouse gases
  628. 25:12and Tanner what did those turn out to
  629. 25:14be uh turn to the carbon emissions from
  630. 25:18uh energy production animals methane
  631. 25:21animals are a surprisingly large Source
  632. 25:24that's right so uh so animal have like a
  633. 25:29lot cow farts basically account for a
  634. 25:31large fraction of all global warming but
  635. 25:34also energy from carbon from energy
  636. 25:37deforestation reducing the amount of
  637. 25:39carbon absorbed
  638. 25:41Etc uh second they had to determine the
  639. 25:44effects that these had on the climate um
  640. 25:48and uh Wesley how does that work what
  641. 25:50are the effects of uh greenhouse gases
  642. 25:53on the climate well the larger emissions
  643. 25:56the more the more the temperature is
  644. 25:59going to rise and there's a runaway
  645. 26:00effect so if we don't reduce the
  646. 26:02emissions enough then it'll still keep
  647. 26:04Rising even though we reduce the
  648. 26:05emissions yeah so there's a critical
  649. 26:07level it's like 80% less than what it is
  650. 26:10now at which we could stabilize it but
  651. 26:13we have to reduce it a lot and all those
  652. 26:15things are based on these climate models
  653. 26:16that are filled with uncertainty right
  654. 26:19and um so what you really get is a
  655. 26:21distribution of potential outcomes
  656. 26:22conditional and actions you take rather
  657. 26:24than a final outcome so what Wesley is
  658. 26:26saying is a little bit like the example
  659. 26:28we went through where you know the firms
  660. 26:30enter at some particular price but we
  661. 26:32don't know what that price is and so it
  662. 26:34really looks smooth so even though it
  663. 26:35he's right that like you know the
  664. 26:37climate there's probably some point
  665. 26:39Beyond which we go when things really go
  666. 26:41to hell we really don't have a very
  667. 26:43clear sense of what that point is and so
  668. 26:45in reality it's much more smooth than it
  669. 26:48sounds um then you have to try to
  670. 26:51determine the economic effects of
  671. 26:56um of climate change
  672. 26:59Andi what were the primary economic
  673. 27:02impacts of climate change that they
  674. 27:03determined um one was
  675. 27:07that sorry one was that resources are
  676. 27:10obviously being affected so uh land
  677. 27:12costs say land um if land cost are
  678. 27:15proven to be very different that people
  679. 27:17are obviously going to suffer different
  680. 27:19U another one was U the force were being
  681. 27:23armed uhhuh uh so what is uh what is the
  682. 27:26word yeah that that's right I mean I
  683. 27:29think the biggest one is probably
  684. 27:31Farmland like is um harmed and that
  685. 27:35makes agricultural production lower so
  686. 27:38that's an important thing um then they
  687. 27:41had to try to determine the extent to
  688. 27:42which adaptation to climate change oh
  689. 27:44yeah go ahead um didn't they also say
  690. 27:47that one of the economic effect is sort
  691. 27:49of this disproportionate
  692. 27:51unfair
  693. 27:53uh uh effects of uh climate change being
  694. 27:57on the poor which didn't contribute to
  695. 27:59it at all so yeah though though though
  696. 28:02that should from our perspective like of
  697. 28:04this analysis actually mean that it's
  698. 28:06counted should be counted
  699. 28:08less right because they're poor and they
  700. 28:11can't afford to well didn't say that
  701. 28:13they would be affected by it most
  702. 28:16severely and most quickly yeah and I
  703. 28:18think that you know I I I know it sounds
  704. 28:20unfair responsible for it but they're
  705. 28:24paying the price for it and that being
  706. 28:26the externality isn't that part of it
  707. 28:28yeah I mean that's you know doesn't
  708. 28:30sound like a very good thing but if it
  709. 28:32was happening to rich people it would
  710. 28:33get more weight if you were doing a
  711. 28:35standard benefit cost
  712. 28:37analysis um so then yeah Mike um I guess
  713. 28:43is there a way of like
  714. 28:45incorporating ethics
  715. 28:47into like it's it's subjective yeah but
  716. 28:50like I feel I feel like especially and
  717. 28:53and it shows like in the summary of the
  718. 28:55report that they clearly believe that
  719. 28:57it's unfair these kinds of things that
  720. 28:59are created by developed countries are
  721. 29:00disproportionated by being not so
  722. 29:02developed on yeah so is there a way of
  723. 29:05like accounting for those kinds of
  724. 29:06things or like changing the calculus of
  725. 29:08what we should yeah I mean look you can
  726. 29:09incorporate all sorts of other things in
  727. 29:11if you want but they have the
  728. 29:13consequence that you're not going to get
  729. 29:14something that's Proto efficient like
  730. 29:17the most efficient thing to do is for us
  731. 29:20to you know wait things in the way that
  732. 29:23we're waiting them and then compensate
  733. 29:25the poor countries like the poor
  734. 29:26countries would be happier for us not to
  735. 29:28worry about like killing them but to
  736. 29:30give them money because they're going to
  737. 29:33die from disease or starvation long
  738. 29:36before they die from climate
  739. 29:39change I mean like I know that it sounds
  740. 29:42brutal and whatever but just think about
  741. 29:44the logic of it it's like you're taking
  742. 29:46people who have life expectancy of 25
  743. 29:49years because we don't give a godamn
  744. 29:51about them we just let them all starve
  745. 29:53and die from
  746. 29:55malaria and then we worry about that in
  747. 29:5870 years they might have rising sea
  748. 30:01levels like how is that generous and
  749. 30:06ethical Yeah Austin didn't Larry Summers
  750. 30:09get in trouble for email along these
  751. 30:10lines yeah I may get in trouble for
  752. 30:12saying all these
  753. 30:16things
  754. 30:18um uh
  755. 30:21so then
  756. 30:24um we need to determine the extent to
  757. 30:27which people adapting to the climate
  758. 30:29change can mitigate its harmful effects
  759. 30:31and Florence what are some of the ways
  760. 30:33people might adapt to climate change to
  761. 30:34reduce its harmful
  762. 30:36effects um you could uh change your
  763. 30:40different Technologies um and reduce
  764. 30:44emissions that way well but that's not
  765. 30:45that's reducing but but how could they
  766. 30:48adapt to the changeing climate
  767. 30:56um well they can move of New York City
  768. 30:58to Chicago right because Chicago
  769. 31:01probably won't be flooded and New York
  770. 31:04probably will uh but the problem I think
  771. 31:07we have is that um we don't have
  772. 31:10institutions that do a very good job
  773. 31:12achieving these in the incentives to
  774. 31:14migrate so for example a lot of people
  775. 31:16like when there's a flood in like New
  776. 31:18Orleans they all get bailed out by the
  777. 31:19government rather than people being
  778. 31:22forced to buy flood insurance though
  779. 31:24increasingly the New York Times was
  780. 31:26writing about this they've been forcing
  781. 31:28ing people to buy more flood insurance
  782. 31:29and a lot of people are being forced to
  783. 31:30move away from the areas and that could
  784. 31:32be very useful in adaptation so how much
  785. 31:35of that occurs is really important and
  786. 31:37there's an interesting study by Rick
  787. 31:39Hornbeck that looked at the Dust Bowl in
  788. 31:41the in Oklahoma um when all the people
  789. 31:44were forced to move out and tried to
  790. 31:46look at how well people adapted to that
  791. 31:47and how that mitigated or did not
  792. 31:49mitigate the
  793. 31:50effects
  794. 31:52um now uh Mitch there are some other
  795. 31:56impacts that climate change can uh have
  796. 31:59sorry that carbon can have other than
  797. 32:02just directly on climate change do you
  798. 32:03remember what some of those
  799. 32:05were
  800. 32:10um uh well uh ecologically speaking uh
  801. 32:14it can have
  802. 32:16changes uh in animals and environments
  803. 32:19it can
  804. 32:20change
  805. 32:23um pH levels in waters it can it can
  806. 32:26create high average temperature per year
  807. 32:29Rises um yeah yeah so it can saleny and
  808. 32:33acidify the ocean right and it can
  809. 32:35affect ecosystems by causing certain
  810. 32:37things to be able to grow and others not
  811. 32:39so those were also Tred they tried to
  812. 32:41take into account now corresponding to
  813. 32:44the cap and trade versus the uh
  814. 32:48pigouvian tax Paradigm um there were two
  815. 32:51different analyses that were part of the
  816. 32:52stern report and Mike fosco what um do
  817. 32:55you remember what those two analyses
  818. 32:57they did were
  819. 32:59uh there's a huge uncertainty about
  820. 33:02where they can cap this that they that
  821. 33:05they have to stabiliz between like 450
  822. 33:07and
  823. 33:07550 um so I think they were going with
  824. 33:10the cap so then you can know because
  825. 33:13you're not entirely sure of like the
  826. 33:14price that need you to do that yeah so
  827. 33:17they did two different analyses one was
  828. 33:19they tried to say at the business's
  829. 33:21usual scenaria what is the marginal cost
  830. 33:23of an additional ton of carbon to try to
  831. 33:25determine like an optimal tax or
  832. 33:27something like that and then they also
  833. 33:29tried to calculate what would be the
  834. 33:31optimal amount of
  835. 33:33carbon um so the benefit of this
  836. 33:35approach is that you don't need to do
  837. 33:37anything to estimate the technology that
  838. 33:40will be arised in the cost of mitigation
  839. 33:42so it's simpler but the drawback is that
  840. 33:45there might be highly nonlinear effects
  841. 33:47of carbon like um like Wesley was
  842. 33:51talking about uh that might lead to some
  843. 33:54very catastroph catastrophic effects and
  844. 33:56this tax really might not do a job good
  845. 33:58job capturing that right their estimate
  846. 34:01that they came out with was $85 per ton
  847. 34:04now the socially optimal level of carbon
  848. 34:07for that calculation um they try to deal
  849. 34:10with the nonlinearities and try to
  850. 34:12figure out beyond what point it might be
  851. 34:13very dangerous the drawbacks is this
  852. 34:16requires you to have a very good
  853. 34:17understanding of the technologies that
  854. 34:18are available for mitigation to weigh
  855. 34:20those against the costs and they argued
  856. 34:22that we should try to stabilize carbon
  857. 34:24at 450 to 550 parts per million though
  858. 34:27so we're jetting past that at the moment
  859. 34:30so I don't think it's very likely that
  860. 34:32we'll achieve this
  861. 34:34goal this review is quite old by now I
  862. 34:37guess right do you guys remember when
  863. 34:39the stern review first came out you you
  864. 34:42guys were probably in middle school or
  865. 34:44something like that
  866. 34:46right probably even before that I would
  867. 34:49guess I don't know I'm not sure maybe
  868. 34:512006 um
  869. 34:54so I think what's most interesting about
  870. 34:57Stern is that it illustrates how hard
  871. 34:59these types of things are like one um
  872. 35:03example of this is that many of the
  873. 35:06worst costs from climate change come
  874. 35:08from the possibility that there's some
  875. 35:10very extreme disaster that climate
  876. 35:12change causes and if we have a
  877. 35:14technology such as geoengineering like
  878. 35:17putting uh chemicals into the atmosphere
  879. 35:20or into the ocean that would absorb a
  880. 35:22lot of carbon or reflect a lot of
  881. 35:23sunlight that can eliminate the worst
  882. 35:26possible outcomes this can dramatically
  883. 35:28reduce the cost not because those things
  884. 35:30aren't harmful and bad but because
  885. 35:32they're not as harmful and bad as like
  886. 35:34the most dire scenarios which in the end
  887. 35:36account for most of the costs and and so
  888. 35:39uh it's um yeah so whether or not we
  889. 35:44think we would end up developing and
  890. 35:46using those Technologies could make a
  891. 35:47huge difference for whether it makes
  892. 35:49sense to uh invest in reducing uh carbon
  893. 35:53today okay now the stern review focused
  894. 35:56on sort of hard economic costs um and it
  895. 36:00leaves out a whole bunch of other stuff
  896. 36:04that is clearly pretty relevant so for
  897. 36:06example do people like it being warmer
  898. 36:09or cooler with rain or you know less
  899. 36:11rain or whatever now this might sound
  900. 36:13frivolous relative to like you know
  901. 36:15swallowing up whole continents but if
  902. 36:17you look at the difference in real
  903. 36:18estate prices between here and poo Alto
  904. 36:20you'll realize that uh the weather makes
  905. 36:23a pretty huge difference to how much
  906. 36:24people uh value living in a place right
  907. 36:28and um you know there's a question of
  908. 36:31how you might quantify this in an
  909. 36:32objective fashion by using real estate
  910. 36:34prices which maybe they could have taken
  911. 36:36into account but they
  912. 36:38didn't uh yeah t what if like California
  913. 36:41that just becomes a desert like well
  914. 36:45that would be a harm so you'd have to
  915. 36:46you'd have to take that all into
  916. 36:48account
  917. 36:50um uh yeah all right um didn't like
  918. 36:53conman show that people who live in like
  919. 36:58Michigan and like California are like
  920. 36:59equally happy yeah so the question is
  921. 37:02whether you believe or not believe the
  922. 37:06happiness numbers versus the prices you
  923. 37:09know I don't know uh there's a lot of
  924. 37:11debate over those
  925. 37:13things I mean I think even Conan is a
  926. 37:15little bit less confident now that
  927. 37:18happiness is the right measure for this
  928. 37:20stuff
  929. 37:21so um another question is you know how
  930. 37:24much do people care about the animals
  931. 37:26that get killed by climate change right
  932. 37:28um and you know to quantify this in an
  933. 37:31objective fashion you need to use
  934. 37:34something like how does the government
  935. 37:35make decisions about killing animals in
  936. 37:37other contexts what are they willing to
  937. 37:38pay to preserve those animals yeah go
  938. 37:41ahead Austin so um how does that how
  939. 37:44does the second Point play in with like
  940. 37:45quantity in variance it's like John list
  941. 37:48demonstrated it doesn't matter how many
  942. 37:49animals are being saved it's pretty much
  943. 37:5120 bucks it would well we'll talk about
  944. 37:54the problems with the surveys in a
  945. 37:56moment but
  946. 37:58uh but I think that in principle you
  947. 38:00could be more quantitative about this uh
  948. 38:03I'm talking about how you would you know
  949. 38:05figure these out in a purely objective
  950. 38:07way using a scientist rather than um you
  951. 38:10know another question that would be
  952. 38:12difficult is imagine that this is going
  953. 38:14to destroy some civilizations right uh
  954. 38:17the question is how do you put a value
  955. 38:19on cultural preservation uh that's tough
  956. 38:23another question issue might be that
  957. 38:26individual people out there in the
  958. 38:28population might know information that
  959. 38:30the government doesn't know about um how
  960. 38:33costly it is for them to cope with acid
  961. 38:35rain and things like that and you know
  962. 38:37as we talked about hyek said it's really
  963. 38:39important to get information from the
  964. 38:41individuals who actually know about
  965. 38:43what's um going on and if we ignore that
  966. 38:47in these analysis and only rely on
  967. 38:49Experts we might get a much less uh
  968. 38:51compelling estimate of the benefits um
  969. 38:56and because you know for basically all
  970. 38:58of these things it becomes important not
  971. 39:01just to know um what market prices tell
  972. 39:04us but also to know what are people's
  973. 39:07personal subjective valuations for
  974. 39:09various things and this is true for a
  975. 39:11wide range of things when there is
  976. 39:13subjective existence values such as the
  977. 39:16value of environment of culture of the
  978. 39:18place of still living in the place where
  979. 39:20you grew up
  980. 39:23right
  981. 39:26um uh
  982. 39:29Lo when there's local information about
  983. 39:31Technologies or impacts when you're
  984. 39:34thinking about health or life and not
  985. 39:35just trying to measure the value of the
  986. 39:37marginal people but of inframarginal
  987. 39:39people whenever there's local
  988. 39:40information about Technologies or
  989. 39:42impacts like a farmer may know that his
  990. 39:45farm is particularly dry or a New Yorker
  991. 39:47may know that uh he's subject to flood
  992. 39:50risk because of particular properties of
  993. 39:51his house right um so the I think the
  994. 39:56question in the things is always to look
  995. 39:59at it as an issue of information not
  996. 40:02just to say that we inherently need to
  997. 40:04go to people in order to get this
  998. 40:05information but to ask are there really
  999. 40:07concrete pieces of information that we
  1000. 40:09think that the public might know that
  1001. 40:10the government might not be able to
  1002. 40:12figure out using some more objective me
  1003. 40:14method right um that is it's not the
  1004. 40:18value to individuals that defines what
  1005. 40:20we care about uh it's really that there
  1006. 40:24may be in information that individuals
  1007. 40:26have which is particularly important so
  1008. 40:28for example um you know if you try to
  1009. 40:32figure out how much should we value the
  1010. 40:33preservation of
  1011. 40:35cultures uh there's a natural question
  1012. 40:38of whether this comes from how much
  1013. 40:39individuals value them or how much we as
  1014. 40:41a society should value them and what is
  1015. 40:44it that individuals value about them so
  1016. 40:45for example imagine that the reason why
  1017. 40:47we value preserving some cultures is
  1018. 40:49that they may have a language which even
  1019. 40:51though we can't currently understand it
  1020. 40:52holds the key to understanding the
  1021. 40:53history of human language right now it
  1022. 40:56would be pretty stupid to go around to
  1023. 40:58people and ask them how much do you
  1024. 41:00value preserving the whatever culture
  1025. 41:02because they would have no idea that
  1026. 41:03this culture happened to have that
  1027. 41:05language or not right um instead people
  1028. 41:09might have some information about how
  1029. 41:11much they value learning about the
  1030. 41:12history of the world that the government
  1031. 41:14doesn't have but the person who has the
  1032. 41:15information about whether these tribe
  1033. 41:18holds the key to the history of the
  1034. 41:19world is not going to be the the
  1035. 41:21individuals in the public but some
  1036. 41:22Anthropologist who's an expert on this
  1037. 41:24right so you always want to ask yourself
  1038. 41:27who who has what relevant information
  1039. 41:29and how do I relevantly combine it not
  1040. 41:32uh you know just assume that whatever
  1041. 41:33people say must be the correct
  1042. 41:36number okay so uh when we do need such
  1043. 41:40information when we really do need to
  1044. 41:42learn from people how much they value
  1045. 41:44preserving a culture or uh some
  1046. 41:47environmental feature that they can
  1047. 41:48understand the you know a natural
  1048. 41:50approach is to just ask people how much
  1049. 41:52they value it and what is that approach
  1050. 41:54called
  1051. 41:55Tanner uh Val yeah
  1052. 41:59exactly um so this is a very simple
  1053. 42:03approach that is a long history um and
  1054. 42:06what you do is you basically describe
  1055. 42:07different scenarios to people and you
  1056. 42:09ask individuals how much they'd be
  1057. 42:10willing to pay to have one scenario over
  1058. 42:13another that's why it's called
  1059. 42:14contingent valuation because you're
  1060. 42:15valuing the contingency that something
  1061. 42:17gets destroyed or preserved and you
  1062. 42:19impute from this uh you you assume that
  1063. 42:22this represents their true willingness
  1064. 42:23to pay um this is most commonly used for
  1065. 42:27environmental issues but also for
  1066. 42:29creating
  1067. 42:30Transportation or other public goods
  1068. 42:33okay so um Kim what are some examples of
  1069. 42:37areas where contingent valuation surveys
  1070. 42:39have been
  1071. 42:42used uh what value historical Place yeah
  1072. 42:46absolutely uh can you think of any like
  1073. 42:48concrete example Royal Palace yeah that
  1074. 42:53would be good uh another very famous one
  1075. 42:55is preserving visibility of the Grand
  1076. 42:57Canyon like someone might say oh
  1077. 43:00someone's going to build a hotel but
  1078. 43:01it's going to obstruct your ability to
  1079. 43:03see the Grand Canyon how much would you
  1080. 43:05value given the chance that your kids
  1081. 43:07might go and see it like being able to
  1082. 43:09go visit the Grand Canyon or pre
  1083. 43:11payments to preserve SEALS or whales in
  1084. 43:13the ocean to avoid logging in national
  1085. 43:16forests the value of the birds killed by
  1086. 43:19the Exxon Valdes spill the value of
  1087. 43:22preserving languages of an indigenous
  1088. 43:24culture or building a new city and these
  1089. 43:26are real examples that have been
  1090. 43:28commissioned by regulatory agencies or
  1091. 43:31courts um and they're very common in the
  1092. 43:34benefit cost analyses of externalities
  1093. 43:36regulations and actions they can also be
  1094. 43:39used to assess damages from oil
  1095. 43:41spills um and most of these are formal
  1096. 43:44money based surveys you ask people how
  1097. 43:46much are you willing to pay how many
  1098. 43:47dollars but there are also some informal
  1099. 43:50forms of this such as surveys of public
  1100. 43:52opinion uh by politicians often
  1101. 43:54influence the actions as politicians
  1102. 43:56take and because they're not actually
  1103. 43:58calibrated you don't actually say how
  1104. 43:59many dollars they're not the same as
  1105. 44:01contingent valuations but they have
  1106. 44:03significant similarities and uh and
  1107. 44:07impact policy in somewhat similar ways
  1108. 44:10now these types of surveys are held in
  1109. 44:12very low repute by economists uh why is
  1110. 44:15that Adam um well some of the examples
  1111. 44:18that um the uh study used was like for
  1112. 44:22example getting like a warm glow the
  1113. 44:25idea of like you know feeling good that
  1114. 44:27value these things um also like you
  1115. 44:30could kind of use as like a political
  1116. 44:33issue like go zero or really high number
  1117. 44:36to bump up whatever the average is or
  1118. 44:39just you're not an expert on the matter
  1119. 44:41and have like no clue yeah those are all
  1120. 44:42really good points so I think the
  1121. 44:44leading point is just people don't take
  1122. 44:45these things all these seriously like
  1123. 44:47imagine someone came to you and was like
  1124. 44:48how much are you willing to pay to
  1125. 44:51preserve the seals in the ocean you
  1126. 44:52would say I don't care they just say
  1127. 44:54whatever like sounds fun to say you know
  1128. 44:57you know what I mean um the second thing
  1129. 44:59is people often answer the wrong
  1130. 45:01question they don't say how much they
  1131. 45:03personally would be willing to pay but
  1132. 45:04how much society as a whole should be
  1133. 45:06willing to pay right and that if you add
  1134. 45:08it up over all people in society leads
  1135. 45:10to way way too high of a number right
  1136. 45:13people even if they you could ask them
  1137. 45:15usually don't have any idea information
  1138. 45:17or experience with the question you're
  1139. 45:18asking them they may not even have heard
  1140. 45:20of the species of bird that you're
  1141. 45:21asking them about or the culture that
  1142. 45:22you're talking about right uh people are
  1143. 45:25often motivated just to feel good about
  1144. 45:27the answers that they give so like you
  1145. 45:29know if you ask them about something
  1146. 45:31really politically sensitive they'll say
  1147. 45:32it's like a huge amount like you know if
  1148. 45:35um how much would you be willing to pay
  1149. 45:38to stop pollution being dumped on like
  1150. 45:41poor people in Africa because that
  1151. 45:43sounds really sensitive people might say
  1152. 45:45some huge amount even though they would
  1153. 45:46never actually pay anything like that
  1154. 45:49right um and a sign of this is people's
  1155. 45:52responses are highly inconsistent and
  1156. 45:54apparently irrational they can differ by
  1157. 45:56orders of magnitude or uh just depending
  1158. 45:59on how you frame the question or as
  1159. 46:00Austin was saying they can be completely
  1160. 46:01invariant to
  1161. 46:03quantities uh and perhaps the leading
  1162. 46:05problem is that people have no incentive
  1163. 46:06to get things right and no experience
  1164. 46:08that would allow people to get things
  1165. 46:10right yeah da have there ever been any
  1166. 46:12um like cases in which people have
  1167. 46:15actually asked for donations and
  1168. 46:17actually got monetary contributions well
  1169. 46:20that doesn't work either because that
  1170. 46:21that suffers from the free writer
  1171. 46:23problem oh okay so so the only mechanism
  1172. 46:28that solves this well we'll talk about
  1173. 46:29the vicory Clark Groves mechanism as
  1174. 46:31you'll see that's pretty problematic but
  1175. 46:33the only mechanism that really solves
  1176. 46:34this is quadratic voting and in fact one
  1177. 46:36thing that we're trying to do is set up
  1178. 46:40uh uh in with the company is to try to
  1179. 46:42replace contingent valuation surveys
  1180. 46:45with quadratic voting based surveys
  1181. 46:47where you're actually forced to make
  1182. 46:48trade-offs between allocating money to
  1183. 46:50things and yeah so yeah I don't know
  1184. 46:53whether this is like a Miss application
  1185. 46:55of an economic concept but closing that
  1186. 46:57we could get people to answer the
  1187. 46:59questions accurately and not motivated
  1188. 47:01by one or whatever is it still worth
  1189. 47:03trying to make sense of the answers cuz
  1190. 47:05I was thinking of like Aros
  1191. 47:06impossibility theorem there's no
  1192. 47:08rational way to aggregate all the
  1193. 47:10preferences and all the wants of these
  1194. 47:11individuals so a good social again we'll
  1195. 47:15talk about quadratic voting at the end
  1196. 47:17but uh that violates errors and
  1197. 47:19possibility theorem so you're right
  1198. 47:21given like existing ideas about this
  1199. 47:24problem there's supposed to be like no
  1200. 47:26solution to this problem
  1201. 47:27but I don't think that's true so uh yeah
  1202. 47:30uh I feel like it might be mentioned
  1203. 47:32here but isn't the fact that they're
  1204. 47:34probably not actually paying directly
  1205. 47:36for whatever caus ER yeah that that
  1206. 47:39that's sort of what Dake was saying
  1207. 47:41right he was saying that like you're not
  1208. 47:42actually forcing people to make
  1209. 47:43tradeoffs so yeah yeah philli uh arrows
  1210. 47:46impossibility theorem only says that
  1211. 47:50purely rank based things don't work so
  1212. 47:53that's exactly the the reason why QV
  1213. 47:56isn't rolled out yeah exactly yeah
  1214. 47:59exactly um okay so let's talk about the
  1215. 48:04Strategic problem because I think it's
  1216. 48:05like the biggest problem at the heart of
  1217. 48:07what's wrong with contingent
  1218. 48:09valuation um so uh whe what your
  1219. 48:13incentives are in a Content valuation
  1220. 48:15survey depend on what it's being used
  1221. 48:17for right so imagine that no one is
  1222. 48:19going to take this survey seriously at
  1223. 48:20all right people are just doing it for
  1224. 48:23fun or for research or whatever right
  1225. 48:25then uh what would be your incentives in
  1226. 48:28a con evaluation survey if you were
  1227. 48:30responding to one and you thought this
  1228. 48:31is just going to be used for research or
  1229. 48:33no one would really care what the
  1230. 48:35answers were what would be my incentives
  1231. 48:37to like fill out the survey yeah what
  1232. 48:39would be your incentive to report that
  1233. 48:41wouldn't have any I would you know you
  1234. 48:42would do whatever was sort of fun or you
  1235. 48:44know whatever like entertained you or
  1236. 48:46sort of pissed off the survey guy or
  1237. 48:48pleased the survey guy depending on
  1238. 48:50whether it's a you know good-look member
  1239. 48:52of the opposite sex or some uh some
  1240. 48:55nerdy uh person you know um uh yeah
  1241. 49:02um and uh that's uh probably true uh
  1242. 49:08right now because a lot of these things
  1243. 49:10people don't take seriously because
  1244. 49:11they're totally stupid um but what if
  1245. 49:14the survey actually did have a major
  1246. 49:16impact on public policy Austin what then
  1247. 49:18would be your incentives in filling out
  1248. 49:20the survey well I mean you would have an
  1249. 49:22incentive in the sense of actually being
  1250. 49:24able to influence policy and what what
  1251. 49:25would be the right thing for you to
  1252. 49:27report oh the most extreme version of
  1253. 49:30believe yeah exactly right so in this
  1254. 49:33case you have huge incentives so if you
  1255. 49:34like if you like the Dolphins you'd say
  1256. 49:36oh you know I think I'd be willing to
  1257. 49:38pay I don't know7 trillion to deserve
  1258. 49:41the Dolphins uh you know and if you uh
  1259. 49:46like imagine that you were a worker on
  1260. 49:49the Keystone Excel pipeline right and
  1261. 49:53they asked how much are you willing to
  1262. 49:55pay to preserve the right of like the
  1263. 49:58Caribou to go across the plains of
  1264. 50:01Montana or whatever and you would
  1265. 50:03probably say zero right uh or negative
  1266. 50:07because you want to make sure that they
  1267. 50:08don't block the Keystone Excel pipeline
  1268. 50:10in order to you know save the Caribou
  1269. 50:12right so you never have an incentive to
  1270. 50:15report truthfully and a great example of
  1271. 50:17this is uh a story from The Economist so
  1272. 50:21did I tell you guys the story yet
  1273. 50:24no like the oh it was yeah so there
  1274. 50:27there was this great story uh where the
  1275. 50:29economist went around Haiti and it asked
  1276. 50:33people um you know have you been
  1277. 50:35receiving uh supplies from
  1278. 50:38UNESCO and people said oh no we haven't
  1279. 50:42gotten anything and they went around to
  1280. 50:44people's houses and they saw these
  1281. 50:45stacks of like un uh uh you know boxes
  1282. 50:49with filled with food and they said why
  1283. 50:51did you lie to us and they said well if
  1284. 50:52you knew that we were getting food we
  1285. 50:54wouldn't get anymore right uh so
  1286. 50:59um so if we want to take seriously how
  1287. 51:02do we get people to report we need to
  1288. 51:04consider the incentives that this gives
  1289. 51:05people right and suppose people know
  1290. 51:08suppose we know let's go back to the
  1291. 51:11analysis of externalities we did from
  1292. 51:13previous class suppose we all know all
  1293. 51:14the benefits associated with a
  1294. 51:18particular um project and we're a
  1295. 51:21particular you know uh thing like
  1296. 51:23pollution and we're trying to determine
  1297. 51:25the socially optimal amount but
  1298. 51:27everybody knows the amount that they
  1299. 51:28individually are harmed so there's
  1300. 51:30dispersed information about this right
  1301. 51:32then the total harm is just the sum of
  1302. 51:34the individual harms right and the
  1303. 51:36question is how do we get people to tell
  1304. 51:38the truth about
  1305. 51:40um about the um harms that Ur to them
  1306. 51:45myy how did your reading say that we can
  1307. 51:48do that uh well they would ask you to
  1308. 51:51report like the utility you got and then
  1309. 51:53they would comp they would pay you
  1310. 51:57all the other people's utilities except
  1311. 51:58for yourself yeah they would pay you
  1312. 52:01that amount of money and that would
  1313. 52:02incentivize you to tell the truth
  1314. 52:04exactly
  1315. 52:05exactly um so that's sort of an approach
  1316. 52:09that pushes this whole thing back a
  1317. 52:10layer it says how do we figure out what
  1318. 52:12externalities are well we make everyone
  1319. 52:14pay their externality associated with
  1320. 52:15saying that their externalities are a
  1321. 52:17certain thing right that's paying you
  1322. 52:19everybody else's utility right so then I
  1323. 52:22report because the thing is reporting a
  1324. 52:24harm to the system because it influences
  1325. 52:26a social decision is really just like
  1326. 52:28taking an action and if I pay the
  1327. 52:30externality of that action I will I'll
  1328. 52:32want to do um what is best for uh
  1329. 52:36Society right so um Mike uh gin what's
  1330. 52:41the um externalities of reporting that
  1331. 52:44your harm is some amount uh it would be
  1332. 52:48like the benefit you get minus the harm
  1333. 52:51on other people well the benefit you get
  1334. 52:53you capture yourself so it's just the
  1335. 52:55harm on other people but the question is
  1336. 52:56what is the like why does it create a
  1337. 52:59harm on other people if you report your
  1338. 53:03harm to be a certain amount uh because
  1339. 53:05if
  1340. 53:07you report because the utility that you
  1341. 53:10report affects the payouts to other
  1342. 53:11people under this well it affects the
  1343. 53:13amount of the action that we take right
  1344. 53:15right and when once you change the
  1345. 53:17amount of the action you take it it
  1346. 53:18harms or benefits other people
  1347. 53:21right um so the reason is because
  1348. 53:24without me society would Max maximiz
  1349. 53:26welfare without looking out for my
  1350. 53:28interests and with me Society also has
  1351. 53:30to care about my interests and so my
  1352. 53:32externality is how much other people
  1353. 53:35could have achieved if they didn't have
  1354. 53:36to worry about me minus how much they
  1355. 53:38achieve when they do have to worry about
  1356. 53:41me um okay so let's return to the
  1357. 53:44smoking example and imagine that it's a
  1358. 53:46small room now and the value of smoking
  1359. 53:49to One smoker is 100 S - S 2 and there
  1360. 53:52are two people who are each harmed in
  1361. 53:54amount s^2 + 5 s and then you are harmed
  1362. 53:58in amount s^2 + 10s so the question is
  1363. 54:03um Adam what would be the optimal amount
  1364. 54:05of smoking if I wasn't in the
  1365. 54:08room
  1366. 54:10um would be the marginal
  1367. 54:14cost or the marginal benefits of the
  1368. 54:16smoker should be a
  1369. 54:38um it be
  1370. 54:41uh
  1371. 54:4315 okay so uh the marginal benefit to
  1372. 54:46the smoker right is 100 minus 2s the
  1373. 54:49marginal cost to each of the
  1374. 54:52nonsmokers is 2s + 5 4 4 S +
  1375. 54:5810 together so yeah uh so exactly uh so
  1376. 55:04it's yeah so it's 4S + 10 and then you
  1377. 55:08set that equal to 100 - 2 s and you get
  1378. 55:10s =
  1379. 55:1315 now the question is what's the
  1380. 55:16optimum including you Mitch what would
  1381. 55:19be the optimal amount if we include the
  1382. 55:22harm that occurs to you as well
  1383. 55:34um sorry was what so what is the optimal
  1384. 55:39amount okay so the smoker gets benefit
  1385. 55:43100 S -
  1386. 55:44s^2 uh from smoking and each of the two
  1387. 55:47other nonsmokers get this harm and you
  1388. 55:50get a harm s^2 plus 10s from smoking
  1389. 55:54taking place so if we take into account
  1390. 55:55your U ility as well as the other
  1391. 55:57people's what would be the optimal
  1392. 55:59amount of
  1393. 56:08smoking sending the marginal benefits to
  1394. 56:11all people in society to the marginal
  1395. 56:15cost you want to pass on this yeah
  1396. 56:17somebody else want to try it uh uh yeah
  1397. 56:21Dave um it would be S equal 10 because
  1398. 56:25you would take the derivative of um your
  1399. 56:29marginal utility which is or F which is
  1400. 56:322 s + 10 yeah and then you add that to
  1401. 56:34the marginal arm of the other two people
  1402. 56:37yeah so that's 6X s plus 20 in total is
  1403. 56:41equal to 100s oh sorry 100 - 2
  1404. 56:45s uh 8s or yeah yeah 8s sorry 8 S Plus 8
  1405. 56:51s equal is equal to n uh 80 80 exactly
  1406. 56:56yeah
  1407. 56:59um so uh then uh Barett can you uh
  1408. 57:04figure out what the externality is that
  1409. 57:06you create on other
  1410. 57:08people
  1411. 57:16uh so it would be
  1412. 57:19um five times marginal cost
  1413. 57:24or Okay so um the question is how much
  1414. 57:27welfare would would people have gotten
  1415. 57:30if they had been able to smoke
  1416. 57:3415 so that's just the total benefit to
  1417. 57:37the smoker if they smoke 15 minus the
  1418. 57:39total cost to the other two guys
  1419. 57:56BR you can do it on the border on I
  1420. 57:58guess you're going to do it on
  1421. 58:22calculator uh I got 675
  1422. 58:26oh no it's so it's 75 so if
  1423. 58:30um the net harm to everybody else is net
  1424. 58:34benefit to everybody else is
  1425. 58:35proportional to
  1426. 58:3790s minus uh 3
  1427. 58:41S2
  1428. 58:44uh uh sorry
  1429. 58:48minus
  1430. 58:5290s minus I guess this should be
  1431. 58:54multiplied by three no
  1432. 58:57I I just added up the totals I also get
  1433. 59:0075 you get 75 yeah you have 2 s squ - s
  1434. 59:05squ so you should have just s Square
  1435. 59:07which is oh no no no it's because that
  1436. 59:10the lower one is negative so it should
  1437. 59:12be - 3 S 2 yeah it should be - 3 s^2
  1438. 59:15right so this should be 90 * 15 - 3 *
  1439. 59:2015 and then we have to minus however
  1440. 59:23much value is created afterwards which
  1441. 59:25is 90 *
  1442. 59:2710 and then plus because minus minus
  1443. 59:31again so * 3 * 10 so can anyone do that
  1444. 59:34does it give still
  1445. 59:4575 45 -
  1446. 59:51375 is 3 should be 335 I think I'm going
  1447. 59:58to get up Excel and try to do it there a
  1448. 1:00:00really large
  1449. 1:00:02number
  1450. 1:00:072775 90 * 15 + 3 * 15^ 2 - 90 * 10 + 3 *
  1451. 1:00:1910
  1452. 1:00:21squared 1425 woo totally wrong
  1453. 1:00:27can't believe I've been had having this
  1454. 1:00:29thing going for three years and we
  1455. 1:00:30didn't figure that out before
  1456. 1:00:34um okay so 1425 is the is the loss that
  1457. 1:00:38you
  1458. 1:00:39create um but you're glad to pay that
  1459. 1:00:43why are you glad to pay that
  1460. 1:00:461425 wait sorry can you can you I think
  1461. 1:00:49I think you added * 75 way more credible
  1462. 1:00:54to me
  1463. 1:00:58uh yeah you added
  1464. 1:01:01three 75 it actually was right how the
  1465. 1:01:05heck did that
  1466. 1:01:08happen okay it was actually 75 what do
  1467. 1:01:11you
  1468. 1:01:12know
  1469. 1:01:14um okay so why are you willing to pay uh
  1470. 1:01:18that um so imagine that you pay your
  1471. 1:01:21externality right as we said under vcg
  1472. 1:01:24why are you willing to pay that well
  1473. 1:01:26because you're going to save an amount
  1474. 1:01:28which is equal to 15
  1475. 1:01:32squar times + 10 *
  1476. 1:01:3515 minus how much smoking happens
  1477. 1:01:38afterwards which turns out to be equal
  1478. 1:01:39to
  1479. 1:01:41125 okay so why would did it have to be
  1480. 1:01:44that
  1481. 1:01:44way well it had to be that way because
  1482. 1:01:48Society was maximizing the total sum of
  1483. 1:01:50everyone's
  1484. 1:01:52utility given what you report and you
  1485. 1:01:56had to pay everybody else's loss so once
  1486. 1:01:59you add up everybody else's loss plus
  1487. 1:02:01your
  1488. 1:02:02gain either society's not going to move
  1489. 1:02:05the amount right or you're going to gain
  1490. 1:02:08more than everybody else loses because
  1491. 1:02:10it's maximizing the total welfare right
  1492. 1:02:12and so once you're forced to pay what
  1493. 1:02:14you the harm you cause everyone else
  1494. 1:02:16you'll always want to tell the truth
  1495. 1:02:18because your interests are aligned with
  1496. 1:02:20societies it's really the same principle
  1497. 1:02:22of payments in accordance with product
  1498. 1:02:24that we've been studying before
  1499. 1:02:26right now you can look at what this
  1500. 1:02:29thing was visually so imagine that this
  1501. 1:02:32is the benefit to everyone else let's
  1502. 1:02:34just say it's flat I mean before we had
  1503. 1:02:35it being uh downward sloping but let's
  1504. 1:02:38just say it's flat and imagine the cost
  1505. 1:02:40everybody else is this the cost to you
  1506. 1:02:42is this then the cost of society is this
  1507. 1:02:44the harm that you create for everybody
  1508. 1:02:46else is that you move from this point
  1509. 1:02:48which was optimal for them to this point
  1510. 1:02:50which is optimal including you and that
  1511. 1:02:52creates a dead weight loss on everybody
  1512. 1:02:53else of this harburger triangle here
  1513. 1:02:57now notice that that triangle as all
  1514. 1:03:00triangles is proportional to the square
  1515. 1:03:03of the length by which it moves
  1516. 1:03:06right that's the reason why you have
  1517. 1:03:09quadratic voting is
  1518. 1:03:10quadratic because the externality that
  1519. 1:03:12you create on everybody else is
  1520. 1:03:14proportional to the square of the amount
  1521. 1:03:16that you influence the
  1522. 1:03:19decision okay now the most common
  1523. 1:03:23application of um this in
  1524. 1:03:28practice um is the second price auction
  1525. 1:03:32does anyone want to describe what the
  1526. 1:03:33second price auction is to me and and
  1527. 1:03:35say why it's an example of this yeah
  1528. 1:03:37reishi um the second price auction is
  1529. 1:03:41where whereas a conventional auction is
  1530. 1:03:43where you know you if you have two
  1531. 1:03:45people bidding the the first person ends
  1532. 1:03:48up paying what the second person pays
  1533. 1:03:50plus slightly more in a second price
  1534. 1:03:52auction I think the first person pays
  1535. 1:03:54what the second person
  1536. 1:03:57right so yeah so in a traditional
  1537. 1:03:59auction people bid and you pay whatever
  1538. 1:04:01it is that you bid but here you don't
  1539. 1:04:03pay what you bid you pay what the second
  1540. 1:04:05highest person bid right that's why it's
  1541. 1:04:06called the second price auction so
  1542. 1:04:08suppose everyone bids for an object if
  1543. 1:04:10the winner pays the bid of the second
  1544. 1:04:11highest that's his externality can
  1545. 1:04:13anyone figure out why that's his
  1546. 1:04:16externality uh yeah was so that's amount
  1547. 1:04:20that the second person would have valued
  1548. 1:04:22the object and so by you getting it and
  1549. 1:04:23them not getting it that's how much you
  1550. 1:04:25CA them to exactly right yeah now um you
  1551. 1:04:30always want to bid how much it's worth
  1552. 1:04:32to you so let's let's see why that's the
  1553. 1:04:34case conditional on you winning or
  1554. 1:04:37losing you don't affect how much you pay
  1555. 1:04:39by changing how much you bid right so
  1556. 1:04:42the only thing you can affect is whether
  1557. 1:04:43you win or not and the question is would
  1558. 1:04:45you ever want to
  1559. 1:04:47lose when by bidding below what you
  1560. 1:04:50value it at or would you ever want to
  1561. 1:04:52win by bidding above well no why imagine
  1562. 1:04:55that you bid a little bit below what you
  1563. 1:04:57value it at and someone ends up bidding
  1564. 1:04:59in between what you value it at and what
  1565. 1:05:02you've bid then you lose even though you
  1566. 1:05:05could have gotten it for a price that
  1567. 1:05:07was below what you valued it at now
  1568. 1:05:09imagine that you bid above and someone
  1569. 1:05:11bids in between uh what you bid and what
  1570. 1:05:14you value it at then you end up winning
  1571. 1:05:16it but you have to pay more than it's
  1572. 1:05:17worth to you and you cost them losing
  1573. 1:05:19more than yeah exactly so um that's the
  1574. 1:05:24second price auction and some times a
  1575. 1:05:26general more General version of this is
  1576. 1:05:28used for what's called package auctions
  1577. 1:05:30imagine you have a bunch of different
  1578. 1:05:31goods and you could get different
  1579. 1:05:33combinations of them you could submit
  1580. 1:05:35bids for all different packages and then
  1581. 1:05:37what you're forced to pay is so they we
  1582. 1:05:39they choose the arrangement the awarding
  1583. 1:05:41of goods that maximizes the total amount
  1584. 1:05:43of bid that they got right and then they
  1585. 1:05:46make people pay how much uh if they
  1586. 1:05:49hadn't bid uh would have been created uh
  1587. 1:05:53as value otherwise minus how much value
  1588. 1:05:55was created right and that's basically
  1589. 1:05:59the generalization of this notion of uh
  1590. 1:06:01second price auction you could also use
  1591. 1:06:03this in course selection so imagine that
  1592. 1:06:05you were trying to choose courses you
  1593. 1:06:07could put in bids for all of the
  1594. 1:06:09different courses that you could get and
  1595. 1:06:11then you could have some artificial
  1596. 1:06:13currency and you could be forced to pay
  1597. 1:06:15however much you would otherwise have
  1598. 1:06:17bid right now there are many proposals
  1599. 1:06:19to use this mechanism but it's very
  1600. 1:06:21uncommon in practice um for a number of
  1601. 1:06:26reasons uh let me give you one sort of
  1602. 1:06:28creative example to use this so you know
  1603. 1:06:30eminent domain is a process where the
  1604. 1:06:32government comes in and takes people's
  1605. 1:06:34land uh and then pays them whatever it
  1606. 1:06:36thinks is a fair compensation for that
  1607. 1:06:39imagine you had a system where someone
  1608. 1:06:41had to make an offer for how much
  1609. 1:06:42they're willing to pay to get the whole
  1610. 1:06:43package of land if they want to
  1611. 1:06:45redevelop it and each person there has
  1612. 1:06:47to say how much the land's Worth to them
  1613. 1:06:49and then if the offer is greater than
  1614. 1:06:51the sum of the values that people have
  1615. 1:06:53for their lands the land gets sold off
  1616. 1:06:55to the guy and then if anyone had caused
  1617. 1:06:59the sale to go a different way they're
  1618. 1:07:01forced to pay however much it was worth
  1619. 1:07:04to everybody else um to go the other way
  1620. 1:07:09so for example the person who bids for
  1621. 1:07:11it if he wins he has to pay the sum of
  1622. 1:07:13the values to the of the people and if
  1623. 1:07:16anybody um bids high enough so that it
  1624. 1:07:20would have been sold had he not bid but
  1625. 1:07:24given that he bid it doesn't get sold he
  1626. 1:07:25has to pay the amount by which in total
  1627. 1:07:28everybody else would have
  1628. 1:07:29benefited now this this mechanism vcg is
  1629. 1:07:33very elegant and kind of interesting but
  1630. 1:07:35it has a huge number of problems we're
  1631. 1:07:37going to talk a lot more about these in
  1632. 1:07:39the last class but let me just raise a
  1633. 1:07:41couple of them now so one problem that
  1634. 1:07:44it has is that the money that gets
  1635. 1:07:46raised has to be given not back to the
  1636. 1:07:49people who participated but to some like
  1637. 1:07:51central government Authority or to some
  1638. 1:07:53third party why is that well otherwise
  1639. 1:07:57um each of the individuals would have an
  1640. 1:08:00incentive to uh bid in a way that would
  1641. 1:08:04make other people be forced to pay
  1642. 1:08:07more so for example imagine that I
  1643. 1:08:09thought I were going to lose an auction
  1644. 1:08:11but that you took the proceeds from the
  1645. 1:08:13auction and gave it back to me I'd have
  1646. 1:08:15an incentive to raise my bid just to get
  1647. 1:08:17the other guy to pay more so that I
  1648. 1:08:19would get some of that money back right
  1649. 1:08:22so that money has to basically go
  1650. 1:08:24outside of the system or be destroyed in
  1651. 1:08:26order for the system to work which is
  1652. 1:08:29pretty problematic right because even
  1653. 1:08:31though it might get the efficient
  1654. 1:08:32outcome you're going to waste a huge
  1655. 1:08:33amount a second big problem with
  1656. 1:08:36vcg uh probably the bigger problem is in
  1657. 1:08:39these collective decision settings uh
  1658. 1:08:41it's incredibly susceptible to
  1659. 1:08:42manipulation imagine we were deciding
  1660. 1:08:44what day to have the final exam for the
  1661. 1:08:47course and imagine there were two
  1662. 1:08:48choices of days I could go through the
  1663. 1:08:50audience and ask everyone you know how
  1664. 1:08:52much you were willing to pay and subject
  1665. 1:08:53you to the vcg mechanism but imagine
  1666. 1:08:56that Mory and Bart were friends and they
  1667. 1:08:58both said I'm willing to pay
  1668. 1:09:00$1,000 uh to have it on this day rather
  1669. 1:09:03than that day well then we would we
  1670. 1:09:06would definitely have it on that day it
  1671. 1:09:07would overwhelm everybody else's but
  1672. 1:09:09neither of them would pay anything
  1673. 1:09:10because even without their report
  1674. 1:09:12because of the other one uh it would
  1675. 1:09:14have still gone that way right so
  1676. 1:09:16because neither of them is individually
  1677. 1:09:18pivotal uh it's incredibly incredibly
  1678. 1:09:21susceptible to
  1679. 1:09:23collusion so these are two of many
  1680. 1:09:25problems with the vcg mechanism which
  1681. 1:09:27make it fundamentally impractical but
  1682. 1:09:30what is quite practical is this basic
  1683. 1:09:32Insight that these in vcg these
  1684. 1:09:35externalities are always going to look
  1685. 1:09:37like these squares right we saw that
  1686. 1:09:40here these triangle sorry we we saw that
  1687. 1:09:43here um but that's a very general
  1688. 1:09:45property and basically the origin of QV
  1689. 1:09:48was realizing that um that even though
  1690. 1:09:51uh you know vcg makes no sense for these
  1691. 1:09:53reasons I was just saying that it always
  1692. 1:09:56ends up looking like this uh thing
  1693. 1:09:58that's a quadratic function of however
  1694. 1:10:00much influence you have okay let you
  1695. 1:10:03guys out early today good luck on the
  1696. 1:10:04problem set

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