Jeffrey Ely. October 7, This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License.
|
|
- Julie Ferguson
- 6 years ago
- Views:
Transcription
1 October 7, 2012 Ths work s lcensed under the Creatve Commons Attrbuton-NonCommercal-ShareAlke 3.0 Lcense.
2 Recap We saw last tme that any standard of socal welfare s problematc n a precse sense. If we want to proceed, we need to compromse n some way. We must abandon one of the basc prncples 1 Unversal Doman 2 Pareto 3 Independence of Irrelevant Alternatves
3 Pareto 1 Pareto s the crteron most closely ted to socal welfare. 2 So we wll nsst on Pareto 3 What f we only requre Pareto?
4 Pareto Domnance Defnton Alternatve A Pareto domnates another alternatve B f every ndvdual prefers A to B,.e. A B for every ndvdual. 1 Pareto domnance s a way of rankng alternatves. 2 But t s an ncomplete rankng: often nether alternatve Pareto domnates the other. 3 Examples: 1 The last remanng basketball tcket. 2 Publc school assgnment. 3 Desgner dress dbs.
5 Pareto So Pareto domnance rarely gves us a clear rankng But when t does, the prescrpton couldn t be more compellng. Defnton An alternatve A s Pareto effcent f there s no B that Pareto domnates t. We should not choose any alternatve whch s Pareto domnated. Ths s a foundatonal prncple of Economcs. Unfortunately that stll leaves us wth a lot of alternatves and no way to compare them.
6 But Wat 1 Let s revst the example wth the basketball tcket. 2 Let s suppose we also have the possblty of enforcng monetary transfers. 3 How much money are you wllng to pay to have the tcket?
7 Wllngness to Pay Thought experment. Ple of money. Basketball tcket. How large can we make the ple of money before you take the money rather than fly? We equate that wth your wllngness to pay.
8 Wllngness to Pay Wllngness to pay adds more nformaton about your preferences. Before we just talked about your rankng of A versus B. Now we can say somethng about how much more you lke A than B. How much money would t take to get you to favor B over A? Truthfully.
9 Pareto Domnance When Money s Involved Remember that any allocaton of the tcket s Pareto effcent. Suppose we are gong to gve the tcket to j but has a hgher wllngness to pay. Consder now the followng new alternatve. 1 We gve the tcket to nstead of j. 2 We take an amount of money x from and transfer t to j. 3 x s chosen to be n between the (hgh) wllngness to pay of and the (low) wllngness to pay of j. Ths alternatve Pareto domnates gvng the tcket to j (and no exchange of money.)
10 More Generally Proposton When money s nvolved, the only Pareto effcent alternatve s to gve the tcket to the fan wth the hghest wllngness to pay. Consder gvng the tcket to a fan wth a lower wllngness to pay. We just saw how to construct a Pareto domnatng alternatve/monetary transfer. If t s Pareto domnated then t s not Pareto effcent.
11 Money, Formally Now We wll assume that monetary transfers are possble and can be enforced. A monetary transfer scheme can be represented by t = (t 1,..., t n ) where t denotes the amount of money pad by ndvdual. (could be negatve, a subsdy) n =1 t = t 1 + t t n s the budget surplus. (could be negatve, a defct) n =1 t = 0 means that the transfer scheme has a balanced budget.
12 Socal Choces wth Monetary Transfers Remember that socety must choose an alternatve. Now alternatves have two components. A choce from A (e.g. who gets the tcket and who doesn t) A monetary transfer scheme t (.e. who pays, who gets pad, and how much.) And now we must descrbe the ndvduals preferences over both components. (.e. how do they trade-off monetary payments versus better/worse alternatves.)
13 Money Utlty Wllngness to pay s captured by utlty functons. Defnton The value to ndvdual from alternatve x s denoted v (x). The utlty assocated wth alternatve x together wth monetary transfer t s U (x, t ) = v (x) t Indvdual prefers a par (x, t ) to a par (y, t ) f U (x, t ) U (y, t ) and f the nequalty s strct, we say hs preference s strct. As always n economcs, a utlty functon s just a mathematcal devce that allows us to descrbe preferences n a precse way. Let s verfy that a utlty functon lke U descrbes wlngness to pay.
14 Money Utlty and WTP Example Suppose there s one tcket left. Alternatve A s you get t, alternatve B s I get t. Suppose that you derve no value from me seeng the game, so v you (B) = 0 and that your value from seeng the game s v you (A) (some postve number.) If you are asked to choose between havng the tcket (A) and payng t you dollars versus not seeng the game (B) and payng nothng, you would be wllng to pay whenever U you (A, t you ) U you (B, 0) whch translates to or v you (A) t you 0 t you v you (A) Ths says that you are wllng to pay (up to but no more than) v you (A) to see the game.
15 More on WTP More generally, f A and B are any two alternatves, and t s a number, ndvdual prefers (A, t) to (B, 0) whenever whch translates to U (A, t ) U (B, 0) t v (A) v (B) so that v (A) v (B) measures s wllngness to pay to have A rather than B. (And ths may be negatve.)
16 Maxmzng Socal Value 1 Recall the allocaton of the tcket. 2 Pareto effcency mpled gvng t to the fan wth the hghest wllngness to pay. 3 In fact that s the alternatve that maxmzes the total value n socety. 4 That was a specal problem You have postve value for the one alternatve where you get the tcket. You have zero value for everythng else. 5 In typcal problems you wll have dfferent, non-zero values for many dfferent alternatves. School assgnment Ad placement etc.
17 Maxmzng Socal Value Stll, we are lead to consder the alternatve A that maxmzes total value: v (A) Ths s called the utltaran alternatve. Just as n the smple tcket example, the utltaran alternatve s the only Pareto effcent alternatve when monetary transfers are possble.
18 Utltaransm and Pareto effcency Let A be the utltaran alternatve and B be any other alternatve. Then v (A) > v (B)
19 Utltaransm and Pareto effcency Let A be the utltaran alternatve and B be any other alternatve. Then v (A) > v (B) We wll devse a monetary transfer scheme t so that (A, t) Pareto domnates B. To do so, frst defne ˆt = v (A) v (B) (Note that ths s postve for those who lke A better than B, negatve otherwse.)
20 Utltaransm and Pareto effcency Let A be the utltaran alternatve and B be any other alternatve. Then v (A) > v (B) We wll devse a monetary transfer scheme t so that (A, t) Pareto domnates B. To do so, frst defne ˆt = v (A) v (B) (Note that ths s postve for those who lke A better than B, negatve otherwse.) Everyone s ndfferent between (A, t) and B. U (A, ˆt ) = v (A) ˆt
21 Utltaransm and Pareto effcency Let A be the utltaran alternatve and B be any other alternatve. Then v (A) > v (B) We wll devse a monetary transfer scheme t so that (A, t) Pareto domnates B. To do so, frst defne ˆt = v (A) v (B) (Note that ths s postve for those who lke A better than B, negatve otherwse.) Everyone s ndfferent between (A, t) and B. U (A, ˆt ) = v (A) ˆt = v (A) (v (A) v (B))
22 Utltaransm and Pareto effcency Let A be the utltaran alternatve and B be any other alternatve. Then v (A) > v (B) We wll devse a monetary transfer scheme t so that (A, t) Pareto domnates B. To do so, frst defne ˆt = v (A) v (B) (Note that ths s postve for those who lke A better than B, negatve otherwse.) Everyone s ndfferent between (A, t) and B. U (A, ˆt ) = v (A) ˆt = v (A) (v (A) v (B))
23 Utltaransm and Pareto effcency Let A be the utltaran alternatve and B be any other alternatve. Then v (A) > v (B) We wll devse a monetary transfer scheme t so that (A, t) Pareto domnates B. To do so, frst defne ˆt = v (A) v (B) (Note that ths s postve for those who lke A better than B, negatve otherwse.) Everyone s ndfferent between (A, t) and B. U (A, ˆt ) = v (A) ˆt = v (A) (v (A) v (B)) = v (B)
24 Utltaransm and Pareto effcency Let A be the utltaran alternatve and B be any other alternatve. Then v (A) > v (B) We wll devse a monetary transfer scheme t so that (A, t) Pareto domnates B. To do so, frst defne ˆt = v (A) v (B) (Note that ths s postve for those who lke A better than B, negatve otherwse.) Everyone s ndfferent between (A, t) and B. U (A, ˆt ) = v (A) ˆt = v (A) (v (A) v (B)) = v (B) = U (B, 0)
25 Utltaransm and Pareto effcency But notce that ˆt has a budget surplus: ˆt = [v (A) v (B)]
26 Utltaransm and Pareto effcency But notce that ˆt has a budget surplus: ˆt = [v (A) v (B)] = v (A) v (B)
27 Utltaransm and Pareto effcency But notce that ˆt has a budget surplus: ˆt = [v (A) v (B)] = v (A) v (B) And because A s utltaran, ths s postve. We can now construct a new transfer scheme t by reducng each ˆt by a small amount, balancng the budget and makng everybody strctly better off.
28 The Utltaran Socal Welfare Functon Wth wllngness to pay as a measure of preference, we can now defne a socal welfare functon whch utlzes that nformaton. Defnton Under the utltaran socal welfare functon, socety prefers (A, t) to (B, t ) f n =1 U (A, t ) n =1 U (B, t ). In partcular, f t and t have balanced budgets then ths reduces to n n v (A) v (B) =1 =1 Ths socal welfare functon satsfes IIA and Pareto and s not a dctatorshp.
29 Not Perfect Wllngness to accept vs. wllngness to pay. (and ablty to pay.) Arguably not comparable across people. Tme rather than money?
30 Pareto Agan For the remander of ths lecture, we restrct attenton to monetary transfer schemes that have a balanced budget. Defnton Socal choce (A, t) Pareto domnates another choce (B, t ) f every ndvdual prefers (A, t) to (B, t ) and at least one ndvdual strctly prefers t. Defnton A socal choce (A, t) s Pareto effcent f there s no (B, t ) that Pareto domnates t.
31 Utltaransm and Pareto As we have shown, Pareto effcency mples utltaransm. Proposton When monetary transfers are possble, f (A, t) s Pareto effcent, then A must be utltaran as well.
32 Utltaransm and Pareto effcency The converse s true too. Proposton When monetary transfers are possble, f A s utltaran and t s a budget-balanced transfer scheme, then (A, t) s Pareto effcent.
33 Utltaransm and Pareto effcency The converse s true too. Proposton When monetary transfers are possble, f A s utltaran and t s a budget-balanced transfer scheme, then (A, t) s Pareto effcent. Suppose A s utltaran. Suppose there was a (B, ˆt) that would Pareto domnate (A, t). That would mean v (B) ˆt v (A) t for all wth at least one strct nequalty. Summng over
34 Utltaransm and Pareto effcency The converse s true too. Proposton When monetary transfers are possble, f A s utltaran and t s a budget-balanced transfer scheme, then (A, t) s Pareto effcent. Suppose A s utltaran. Suppose there was a (B, ˆt) that would Pareto domnate (A, t). That would mean v (B) ˆt v (A) t for all wth at least one strct nequalty. Summng over n (v (B) ˆt ) > (v (A) t ) =1
35 Utltaransm and Pareto effcency The converse s true too. Proposton When monetary transfers are possble, f A s utltaran and t s a budget-balanced transfer scheme, then (A, t) s Pareto effcent. Suppose A s utltaran. Suppose there was a (B, ˆt) that would Pareto domnate (A, t). That would mean v (B) ˆt v (A) t for all wth at least one strct nequalty. Summng over (v (B) ˆt ) > v (B) ˆt > n =1 n =1 (v (A) t ) v (A) t
36 Utltaransm and Pareto effcency The converse s true too. Proposton When monetary transfers are possble, f A s utltaran and t s a budget-balanced transfer scheme, then (A, t) s Pareto effcent. Suppose A s utltaran. Suppose there was a (B, ˆt) that would Pareto domnate (A, t). That would mean v (B) ˆt v (A) t for all wth at least one strct nequalty. Summng over (v (B) ˆt ) > v (B) ˆt > n =1 n =1 (v (A) t ) n v (B) > v (A) =1 v (A) t
Utilitarianism. Jeffrey Ely. June 7, This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License.
Utltaransm June 7, 2009 Ths work s lcensed under the Creatve Commons Attrbuton-NonCommercal-ShareAlke 3.0 Lcense. Utltaransm Why Utltaransm? We saw last tme that any standard of socal welfare s problematc
More informationEconomics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent.
Economcs 1410 Fall 2017 Harvard Unversty Yaan Al-Karableh Secton 7 Notes 1 I. The ncome taxaton problem Defne the tax n a flexble way usng T (), where s the ncome reported by the agent. Retenton functon:
More information- contrast so-called first-best outcome of Lindahl equilibrium with case of private provision through voluntary contributions of households
Prvate Provson - contrast so-called frst-best outcome of Lndahl equlbrum wth case of prvate provson through voluntary contrbutons of households - need to make an assumpton about how each household expects
More informationLecture 7. We now use Brouwer s fixed point theorem to prove Nash s theorem.
Topcs on the Border of Economcs and Computaton December 11, 2005 Lecturer: Noam Nsan Lecture 7 Scrbe: Yoram Bachrach 1 Nash s Theorem We begn by provng Nash s Theorem about the exstance of a mxed strategy
More informationSingle-Item Auctions. CS 234r: Markets for Networks and Crowds Lecture 4 Auctions, Mechanisms, and Welfare Maximization
CS 234r: Markets for Networks and Crowds Lecture 4 Auctons, Mechansms, and Welfare Maxmzaton Sngle-Item Auctons Suppose we have one or more tems to sell and a pool of potental buyers. How should we decde
More informationProblems to be discussed at the 5 th seminar Suggested solutions
ECON4260 Behavoral Economcs Problems to be dscussed at the 5 th semnar Suggested solutons Problem 1 a) Consder an ultmatum game n whch the proposer gets, ntally, 100 NOK. Assume that both the proposer
More informationAppendix - Normally Distributed Admissible Choices are Optimal
Appendx - Normally Dstrbuted Admssble Choces are Optmal James N. Bodurtha, Jr. McDonough School of Busness Georgetown Unversty and Q Shen Stafford Partners Aprl 994 latest revson September 00 Abstract
More informationElements of Economic Analysis II Lecture VI: Industry Supply
Elements of Economc Analyss II Lecture VI: Industry Supply Ka Hao Yang 10/12/2017 In the prevous lecture, we analyzed the frm s supply decson usng a set of smple graphcal analyses. In fact, the dscusson
More informationII. Random Variables. Variable Types. Variables Map Outcomes to Numbers
II. Random Varables Random varables operate n much the same way as the outcomes or events n some arbtrary sample space the dstncton s that random varables are smply outcomes that are represented numercally.
More information15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019
5-45/65: Desgn & Analyss of Algorthms January, 09 Lecture #3: Amortzed Analyss last changed: January 8, 09 Introducton In ths lecture we dscuss a useful form of analyss, called amortzed analyss, for problems
More informationBenefit-Cost Analysis
Chapter 12 Beneft-Cost Analyss Utlty Possbltes and Potental Pareto Improvement Wthout explct nstructons about how to compare one person s benefts wth the losses of another, we can not expect beneft-cost
More informationPrice and Quantity Competition Revisited. Abstract
rce and uantty Competton Revsted X. Henry Wang Unversty of Mssour - Columba Abstract By enlargng the parameter space orgnally consdered by Sngh and Vves (984 to allow for a wder range of cost asymmetry,
More informationCh Rival Pure private goods (most retail goods) Non-Rival Impure public goods (internet service)
h 7 1 Publc Goods o Rval goods: a good s rval f ts consumpton by one person precludes ts consumpton by another o Excludable goods: a good s excludable f you can reasonably prevent a person from consumng
More informationProblem Set #4 Solutions
4.0 Sprng 00 Page Problem Set #4 Solutons Problem : a) The extensve form of the game s as follows: (,) Inc. (-,-) Entrant (0,0) Inc (5,0) Usng backwards nducton, the ncumbent wll always set hgh prces,
More informationA Utilitarian Approach of the Rawls s Difference Principle
1 A Utltaran Approach of the Rawls s Dfference Prncple Hyeok Yong Kwon a,1, Hang Keun Ryu b,2 a Department of Poltcal Scence, Korea Unversty, Seoul, Korea, 136-701 b Department of Economcs, Chung Ang Unversty,
More informationCS 286r: Matching and Market Design Lecture 2 Combinatorial Markets, Walrasian Equilibrium, Tâtonnement
CS 286r: Matchng and Market Desgn Lecture 2 Combnatoral Markets, Walrasan Equlbrum, Tâtonnement Matchng and Money Recall: Last tme we descrbed the Hungaran Method for computng a maxmumweght bpartte matchng.
More informationApplications of Myerson s Lemma
Applcatons of Myerson s Lemma Professor Greenwald 28-2-7 We apply Myerson s lemma to solve the sngle-good aucton, and the generalzaton n whch there are k dentcal copes of the good. Our objectve s welfare
More informationOPERATIONS RESEARCH. Game Theory
OPERATIONS RESEARCH Chapter 2 Game Theory Prof. Bbhas C. Gr Department of Mathematcs Jadavpur Unversty Kolkata, Inda Emal: bcgr.umath@gmal.com 1.0 Introducton Game theory was developed for decson makng
More informationIntroduction to game theory
Introducton to game theory Lectures n game theory ECON5210, Sprng 2009, Part 1 17.12.2008 G.B. Ashem, ECON5210-1 1 Overvew over lectures 1. Introducton to game theory 2. Modelng nteractve knowledge; equlbrum
More informationPhysics 4A. Error Analysis or Experimental Uncertainty. Error
Physcs 4A Error Analyss or Expermental Uncertanty Slde Slde 2 Slde 3 Slde 4 Slde 5 Slde 6 Slde 7 Slde 8 Slde 9 Slde 0 Slde Slde 2 Slde 3 Slde 4 Slde 5 Slde 6 Slde 7 Slde 8 Slde 9 Slde 20 Slde 2 Error n
More informationc slope = -(1+i)/(1+π 2 ) MRS (between consumption in consecutive time periods) price ratio (across consecutive time periods)
CONSUMPTION-SAVINGS FRAMEWORK (CONTINUED) SEPTEMBER 24, 2013 The Graphcs of the Consumpton-Savngs Model CONSUMER OPTIMIZATION Consumer s decson problem: maxmze lfetme utlty subject to lfetme budget constrant
More informationThe economics of climate change
The Economcs of Clmate Change C 175 The economcs of clmate change C 175 Chrstan Traeger Part 2: Effcency, Publc Goods, Externaltes Suggested background readng for emergng questons: olstad, Charles D. (2000),
More informationFinancial mathematics
Fnancal mathematcs Jean-Luc Bouchot jean-luc.bouchot@drexel.edu February 19, 2013 Warnng Ths s a work n progress. I can not ensure t to be mstake free at the moment. It s also lackng some nformaton. But
More informationPREFERENCE DOMAINS AND THE MONOTONICITY OF CONDORCET EXTENSIONS
PREFERECE DOMAIS AD THE MOOTOICITY OF CODORCET EXTESIOS PAUL J. HEALY AD MICHAEL PERESS ABSTRACT. An alternatve s a Condorcet wnner f t beats all other alternatves n a parwse majorty vote. A socal choce
More informationGeneral Examination in Microeconomic Theory. Fall You have FOUR hours. 2. Answer all questions
HARVARD UNIVERSITY DEPARTMENT OF ECONOMICS General Examnaton n Mcroeconomc Theory Fall 2010 1. You have FOUR hours. 2. Answer all questons PLEASE USE A SEPARATE BLUE BOOK FOR EACH QUESTION AND WRITE THE
More information2) In the medium-run/long-run, a decrease in the budget deficit will produce:
4.02 Quz 2 Solutons Fall 2004 Multple-Choce Questons ) Consder the wage-settng and prce-settng equatons we studed n class. Suppose the markup, µ, equals 0.25, and F(u,z) = -u. What s the natural rate of
More informationMoney, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id #
Money, Bankng, and Fnancal Markets (Econ 353) Mdterm Examnaton I June 27, 2005 Name Unv. Id # Note: Each multple-choce queston s worth 4 ponts. Problems 20, 21, and 22 carry 10, 8, and 10 ponts, respectvely.
More informationUNIVERSITY OF NOTTINGHAM
UNIVERSITY OF NOTTINGHAM SCHOOL OF ECONOMICS DISCUSSION PAPER 99/28 Welfare Analyss n a Cournot Game wth a Publc Good by Indraneel Dasgupta School of Economcs, Unversty of Nottngham, Nottngham NG7 2RD,
More informationTwo Period Models. 1. Static Models. Econ602. Spring Lutz Hendricks
Two Perod Models Econ602. Sprng 2005. Lutz Hendrcks The man ponts of ths secton are: Tools: settng up and solvng a general equlbrum model; Kuhn-Tucker condtons; solvng multperod problems Economc nsghts:
More informationProblem Set 6 Finance 1,
Carnege Mellon Unversty Graduate School of Industral Admnstraton Chrs Telmer Wnter 2006 Problem Set 6 Fnance, 47-720. (representatve agent constructon) Consder the followng two-perod, two-agent economy.
More informationEquilibrium in Prediction Markets with Buyers and Sellers
Equlbrum n Predcton Markets wth Buyers and Sellers Shpra Agrawal Nmrod Megddo Benamn Armbruster Abstract Predcton markets wth buyers and sellers of contracts on multple outcomes are shown to have unque
More informationLecture 8. v i p i if i = ī, p i otherwise.
CS-621 Theory Gems October 11, 2012 Lecture 8 Lecturer: Aleksander Mądry Scrbes: Alna Dudeanu, Andre Gurgu 1 Mechansm Desgn So far, we were focusng on statc analyss of games. That s, we consdered scenaros
More informationTHE ECONOMICS OF TAXATION
THE ECONOMICS OF TAXATION Statc Ramsey Tax School of Economcs, Xamen Unversty Fall 2015 Overvew of Optmal Taxaton Combne lessons on ncdence and effcency costs to analyze optmal desgn of commodty taxes.
More informationChapter 6 Risk, Return, and the Capital Asset Pricing Model
Whch s better? (1) 6% return wth no rsk, or (2) 20% return wth rsk. Chapter 6 Rsk, Return, and the Captal Asset Prcng Model Cannot say - need to know how much rsk comes wth the 20% return. What do we know
More informationMechanism Design in Hidden Action and Hidden Information: Richness and Pure Groves
1 December 13, 2016, Unversty of Tokyo Mechansm Desgn n Hdden Acton and Hdden Informaton: Rchness and Pure Groves Htosh Matsushma (Unversty of Tokyo) Shunya Noda (Stanford Unversty) May 30, 2016 2 1. Introducton
More informationSurvey of Math: Chapter 22: Consumer Finance Borrowing Page 1
Survey of Math: Chapter 22: Consumer Fnance Borrowng Page 1 APR and EAR Borrowng s savng looked at from a dfferent perspectve. The dea of smple nterest and compound nterest stll apply. A new term s the
More informationRank Maximal Equal Contribution: a Probabilistic Social Choice Function
Rank Maxmal Equal Contrbuton: a Probablstc Socal Choce Functon Hars Azz Data61, CSIRO and UNSW Sydney, Australa Pang Luo Data61, CSIRO and UNSW Sydney, Australa Chrstne Rzkallah Unversty of Pennsylvana
More informationPrivatization and government preference in an international Cournot triopoly
Fernanda A Ferrera Flávo Ferrera Prvatzaton and government preference n an nternatonal Cournot tropoly FERNANDA A FERREIRA and FLÁVIO FERREIRA Appled Management Research Unt (UNIAG School of Hosptalty
More informationA MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME
A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME Vesna Radonć Đogatovć, Valentna Radočć Unversty of Belgrade Faculty of Transport and Traffc Engneerng Belgrade, Serba
More informationWages as Anti-Corruption Strategy: A Note
DISCUSSION PAPER November 200 No. 46 Wages as Ant-Corrupton Strategy: A Note by dek SAO Faculty of Economcs, Kyushu-Sangyo Unversty Wages as ant-corrupton strategy: A Note dek Sato Kyushu-Sangyo Unversty
More informationLecture Note 1: Foundations 1
Economcs 703 Advanced Mcroeconomcs Prof. Peter Cramton ecture Note : Foundatons Outlne A. Introducton and Examples B. Formal Treatment. Exstence of Nash Equlbrum. Exstence wthout uas-concavty 3. Perfect
More informationCOS 511: Theoretical Machine Learning. Lecturer: Rob Schapire Lecture #21 Scribe: Lawrence Diao April 23, 2013
COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture #21 Scrbe: Lawrence Dao Aprl 23, 2013 1 On-Lne Log Loss To recap the end of the last lecture, we have the followng on-lne problem wth N
More informationOnline Appendix for Merger Review for Markets with Buyer Power
Onlne Appendx for Merger Revew for Markets wth Buyer Power Smon Loertscher Lesle M. Marx July 23, 2018 Introducton In ths appendx we extend the framework of Loertscher and Marx (forthcomng) to allow two
More informationOptimal Income Tax Schedules under Action Revelation
Optmal Income Tax Schedules under Acton Revelaton Jonathan Hamlton and Steven Slutsky Department of Economcs Warrngton College of Busness Unversty of Florda Ganesvlle FL 36-740 USA Aprl 03 Earler versons
More informationIncorrect Beliefs. Overconfidence. Types of Overconfidence. Outline. Overprecision 4/15/2017. Behavioral Economics Mark Dean Spring 2017
Incorrect Belefs Overconfdence Behavoral Economcs Mark Dean Sprng 2017 In objectve EU we assumed that everyone agreed on what the probabltes of dfferent events were In subjectve expected utlty theory we
More informationLecture Note 2 Time Value of Money
Seg250 Management Prncples for Engneerng Managers Lecture ote 2 Tme Value of Money Department of Systems Engneerng and Engneerng Management The Chnese Unversty of Hong Kong Interest: The Cost of Money
More informationVolume 30, Issue 1. Partial privatization in price-setting mixed duopoly. Kazuhiro Ohnishi Institute for Basic Economic Science, Japan
Volume 3, Issue 1 Partal prvatzaton n prce-settng mxed duopoly Kazuhro Ohnsh Insttute for Basc Economc Scence, Japan Abstract Ths paper nvestgates a prce-settng mxed model nvolvng a prvate frm and a publc
More informationCOST ALLOCATION IN PUBLIC ENTERPRISES: THE CORE AND ISSUES OF CROSS-SUBSIDIZATION. Haralambos D Sourbis*
COST ALLOCATION IN PUBLIC ENTERPRISES: THE CORE AND ISSUES OF CROSS-SUBSIDIZATION By Haralambos D Sourbs* Abstract Ths paper examnes the mplcatons of core allocatons on the provson of a servce to a communty
More informationMarket Power and Strategy
Notes on Market Power and Strategy Aprl 03 Iñak Agurre Departamento de Fundamentos del Análss Económco I Unversdad del País Vasco Inde Chapter. Monopoly Introducton.. Proft mamzaton by a monopolstc frm...
More informationInequity aversion. Puzzles from experiments
Inequty averson Readngs: Fehr and Schmdt (1999) Camerer (2003), Ch. 2.8, pp.101-104 Sobel (2005) pp. 398-401 Puzzles from experments Compared to self-nterest model: Too much generosty & cooperaton Dctator
More informationMeasures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode.
Part 4 Measures of Spread IQR and Devaton In Part we learned how the three measures of center offer dfferent ways of provdng us wth a sngle representatve value for a data set. However, consder the followng
More informationProvision of public goods in a large economy
Economcs Letters 61 (1998) 229 234 Provson of publc goods n a large economy Mark Gradsten* Ben-Guron Unversty and the Unversty of Pennsylvana, Pennsylvana, USA Receved 13 Aprl 1998; accepted 25 June 1998
More informationIntroduction. Chapter 7 - An Introduction to Portfolio Management
Introducton In the next three chapters, we wll examne dfferent aspects of captal market theory, ncludng: Brngng rsk and return nto the pcture of nvestment management Markowtz optmzaton Modelng rsk and
More informationUnderstanding Annuities. Some Algebraic Terminology.
Understandng Annutes Ma 162 Sprng 2010 Ma 162 Sprng 2010 March 22, 2010 Some Algebrac Termnology We recall some terms and calculatons from elementary algebra A fnte sequence of numbers s a functon of natural
More information2008/84. Characterizations of Pareto-efficient, fair, and strategy-proof allocation rules in queueing problems. Çağatay Kayı and Eve Ramaekers
2008/84 Characterzatons of Pareto-effcent, far, and strategy-proof allocaton rules n queueng problems Çağatay Kayı and Eve Ramaekers CORE Voe du Roman Pays 34 B-1348 Louvan-la-Neuve, Belgum. Tel (32 10)
More information3/3/2014. CDS M Phil Econometrics. Vijayamohanan Pillai N. Truncated standard normal distribution for a = 0.5, 0, and 0.5. CDS Mphil Econometrics
Lmted Dependent Varable Models: Tobt an Plla N 1 CDS Mphl Econometrcs Introducton Lmted Dependent Varable Models: Truncaton and Censorng Maddala, G. 1983. Lmted Dependent and Qualtatve Varables n Econometrcs.
More informationFinite Math - Fall Section Future Value of an Annuity; Sinking Funds
Fnte Math - Fall 2016 Lecture Notes - 9/19/2016 Secton 3.3 - Future Value of an Annuty; Snkng Funds Snkng Funds. We can turn the annutes pcture around and ask how much we would need to depost nto an account
More informationMeaningful cheap talk must improve equilibrium payoffs
Mathematcal Socal Scences 37 (1999) 97 106 Meanngful cheap talk must mprove equlbrum payoffs Lanny Arvan, Luıs Cabral *, Vasco Santos a b, c a Unversty of Illnos at Urbana-Champagn, Department of Economcs,
More informationChapter 5 Bonds, Bond Prices and the Determination of Interest Rates
Chapter 5 Bonds, Bond Prces and the Determnaton of Interest Rates Problems and Solutons 1. Consder a U.S. Treasury Bll wth 270 days to maturty. If the annual yeld s 3.8 percent, what s the prce? $100 P
More informationreferences Chapters on game theory in Mas-Colell, Whinston and Green
Syllabus. Prelmnares. Role of game theory n economcs. Normal and extensve form of a game. Game-tree. Informaton partton. Perfect recall. Perfect and mperfect nformaton. Strategy.. Statc games of complete
More informationMathematical Thinking Exam 1 09 October 2017
Mathematcal Thnkng Exam 1 09 October 2017 Name: Instructons: Be sure to read each problem s drectons. Wrte clearly durng the exam and fully erase or mark out anythng you do not want graded. You may use
More informationFORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999
FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS by Rchard M. Levch New York Unversty Stern School of Busness Revsed, February 1999 1 SETTING UP THE PROBLEM The bond s beng sold to Swss nvestors for a prce
More informationECE 586GT: Problem Set 2: Problems and Solutions Uniqueness of Nash equilibria, zero sum games, evolutionary dynamics
Unversty of Illnos Fall 08 ECE 586GT: Problem Set : Problems and Solutons Unqueness of Nash equlbra, zero sum games, evolutonary dynamcs Due: Tuesday, Sept. 5, at begnnng of class Readng: Course notes,
More informationLikelihood Fits. Craig Blocker Brandeis August 23, 2004
Lkelhood Fts Crag Blocker Brandes August 23, 2004 Outlne I. What s the queston? II. Lkelhood Bascs III. Mathematcal Propertes IV. Uncertantes on Parameters V. Mscellaneous VI. Goodness of Ft VII. Comparson
More informationElton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9
Elton, Gruber, Brown, and Goetzmann Modern Portfolo Theory and Investment Analyss, 7th Edton Solutons to Text Problems: Chapter 9 Chapter 9: Problem In the table below, gven that the rskless rate equals
More informationTradable Emissions Permits in the Presence of Trade Distortions
85 Tradable Emssons Permts n the Presence of Trade Dstortons Shnya Kawahara Abstract Ths paper nvestgates how trade lberalzaton affects domestc emssons tradng scheme n a poltcal economy framework. Developng
More informationSIMPLE FIXED-POINT ITERATION
SIMPLE FIXED-POINT ITERATION The fed-pont teraton method s an open root fndng method. The method starts wth the equaton f ( The equaton s then rearranged so that one s one the left hand sde of the equaton
More information2. Equlibrium and Efficiency
. Equlbrum and Effcency . Introducton competton and effcency Smt s nvsble and model of compettve economy combne ndependent decson-makng of consumers and frms nto a complete model of te economy exstence
More information901 Notes: 11.doc Department of Economics Clemson University
901 Notes: 11.doc Department of Economcs Clemson nversty Consumer's Surplus 1 The dea of consumer's surplus s to attempt to measure n money terms the value of consumpton of a good from the nformaton contaned
More informationIn this appendix, we present some theoretical aspects of game theory that would be followed by players in a restructured energy market.
Market Operatons n Electrc Power Systes: Forecastng, Schedulng, and Rsk Manageentg Mohaad Shahdehpour, Hat Yan, Zuy L Copyrght 2002 John Wley & Sons, Inc. ISBNs: 0-47-44337-9 (Hardback); 0-47-2242-X (Electronc)
More informationAttorneys' Compensation in Litigation with Bilateral Delegation
Attorneys' Compensaton n Ltgaton wth Blateral Delegaton by Kyung Hwan Bak * Department of Economcs, Sungkyunkwan Unversty, Seoul 110-745, South Korea and Department of Economcs, Vrgna Polytechnc Insttute
More informationNotes are not permitted in this examination. Do not turn over until you are told to do so by the Invigilator.
UNIVERSITY OF EAST ANGLIA School of Economcs Man Seres PG Examnaton 2016-17 BANKING ECONOMETRICS ECO-7014A Tme allowed: 2 HOURS Answer ALL FOUR questons. Queston 1 carres a weght of 30%; queston 2 carres
More informationGames and Decisions. Part I: Basic Theorems. Contents. 1 Introduction. Jane Yuxin Wang. 1 Introduction 1. 2 Two-player Games 2
Games and Decsons Part I: Basc Theorems Jane Yuxn Wang Contents 1 Introducton 1 2 Two-player Games 2 2.1 Zero-sum Games................................ 3 2.1.1 Pure Strateges.............................
More informationMechanisms for Efficient Allocation in Divisible Capacity Networks
Mechansms for Effcent Allocaton n Dvsble Capacty Networks Antons Dmaks, Rahul Jan and Jean Walrand EECS Department Unversty of Calforna, Berkeley {dmaks,ran,wlr}@eecs.berkeley.edu Abstract We propose a
More informationFinance 402: Problem Set 1 Solutions
Fnance 402: Problem Set 1 Solutons Note: Where approprate, the fnal answer for each problem s gven n bold talcs for those not nterested n the dscusson of the soluton. 1. The annual coupon rate s 6%. A
More information2.1 Rademacher Calculus... 3
COS 598E: Unsupervsed Learnng Week 2 Lecturer: Elad Hazan Scrbe: Kran Vodrahall Contents 1 Introducton 1 2 Non-generatve pproach 1 2.1 Rademacher Calculus............................... 3 3 Spectral utoencoders
More informationTests for Two Ordered Categorical Variables
Chapter 253 Tests for Two Ordered Categorcal Varables Introducton Ths module computes power and sample sze for tests of ordered categorcal data such as Lkert scale data. Assumng proportonal odds, such
More informationCoalition-Proof Equilibrium
GAMES AD ECOOMIC BEHAVIOR 7, 802 996 ARTICLE O. 0095 Coalton-Proof Equlbrum Dego Moreno Departamento de Economıa, Unersdad Carlos III de Madrd, 28903 Getafe ( Madrd ), Span and John Wooders Department
More informationSavings, Wealth and Ricardian Equivalence
Savngs, Wealth and Rcardan Equvalence I. Introducton In the prevous chapter e studed the decson of households to supply hours to the labor market. Ths decson as a statc decson, beng done thn the same perod.
More informationAn Efficient Nash-Implementation Mechanism for Divisible Resource Allocation
SUBMITTED TO IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 1 An Effcent Nash-Implementaton Mechansm for Dvsble Resource Allocaton Rahul Jan IBM T.J. Watson Research Center Hawthorne, NY 10532 rahul.jan@us.bm.com
More informationTiming: ex ante, interim, ex post. Definition. This is a draft; me with comments, typos, clarifications, etc.
Ths s a draft; emal me wth comments, typos, clarfcatons, etc. Tmng: ex ante, nterm, ex post In secton, we unntentonally ran nto the concepts of ex ante, nterm, and ex post expectatons. Whle these may not
More informationScribe: Chris Berlind Date: Feb 1, 2010
CS/CNS/EE 253: Advanced Topcs n Machne Learnng Topc: Dealng wth Partal Feedback #2 Lecturer: Danel Golovn Scrbe: Chrs Berlnd Date: Feb 1, 2010 8.1 Revew In the prevous lecture we began lookng at algorthms
More informationCHAPTER 3: BAYESIAN DECISION THEORY
CHATER 3: BAYESIAN DECISION THEORY Decson makng under uncertanty 3 rogrammng computers to make nference from data requres nterdscplnary knowledge from statstcs and computer scence Knowledge of statstcs
More informationSpecial Interest Politics: Contribution Schedules versus Nash Bargaining
Specal Interest Poltcs: Contrbuton Schedules versus Nash Barganng Achm Voss School of Economcs and Socal Scences, Unversty of Hamburg, Von-Melle-Park 5, 20146 Hamburg, Germany. Tel.: +49 40 42838 4529.
More informationWould The Right Social Preference Model Please Stand Up! Dinky Daruvala Karlstad University
Would The Rght Socal Preference Model Please Stand Up! Dnky Daruvala Karlstad Unversty Abstract A number of competng socal preference models have been developed nspred by the evdence from economc experments.
More informationTesting alternative theories of financial decision making: a survey study with lottery bonds
Testng alternatve theores of fnancal decson makng: a survey study wth lottery bonds Patrck ROGER 1 Strasbourg Unversty LARGE Research Center EM Strasbourg Busness School 61 avenue de la forêt nore 67085
More informationStatic (or Simultaneous- Move) Games of Complete Information
Statc (or Smultaneous- Move) Games of Complete Informaton Nash Equlbrum Best Response Functon F. Valognes - Game Theory - Chp 3 Outlne of Statc Games of Complete Informaton Introducton to games Normal-form
More informationActuarial Science: Financial Mathematics
STAT 485 Actuaral Scence: Fnancal Mathematcs 1.1.1 Effectve Rates of Interest Defnton Defnton lender. An nterest s money earned by deposted funds. An nterest rate s the rate at whch nterest s pad to the
More informationA UTILITARIAN PERSPECTIVE ON RAWLS S DIFFERENCE PRINCIPLE
Journal of Management Informaton and Decson Scences Volume 20, Specal Issue 1, 2017 A UTILITARIAN PERSPECTIVE ON RAWLS S DIFFERENCE PRINCIPLE Hyeok Yong Kwon, Korea Unversty Hang Keun Ryu, Chung Ang Unversty
More informationMgtOp 215 Chapter 13 Dr. Ahn
MgtOp 5 Chapter 3 Dr Ahn Consder two random varables X and Y wth,,, In order to study the relatonshp between the two random varables, we need a numercal measure that descrbes the relatonshp The covarance
More information332 Mathematical Induction Solutions for Chapter 14. for every positive integer n. Proof. We will prove this with mathematical induction.
33 Mathematcal Inducton. Solutons for Chapter. Prove that 3 n n n for every postve nteger n. Proof. We wll prove ths wth mathematcal nducton. Observe that f n, ths statement s, whch s obvously true. Consder
More informationOUTPUT CONTINGENT SECURITIES AND EFFICIENT INVESTMENT BY FIRMS
INTERNATIONAL ECONOMIC REVIEW Vol. 59, No. 2, May 2018 DOI: 10.1111/ere.12294 OUTPUT CONTINGENT SECURITIES AND EFFICIENT INVESTMENT B FIRMS B LUIS H. B. BRAIDO AND V. FILIPE MARTINS-DA-ROCHA 1 Getulo Vargas
More informationMicroeconomics: BSc Year One Extending Choice Theory
mcroeconomcs notes from http://www.economc-truth.co.uk by Tm Mller Mcroeconomcs: BSc Year One Extendng Choce Theory Consumers, obvously, mostly have a choce of more than two goods; and to fnd the favourable
More informationEDC Introduction
.0 Introducton EDC3 In the last set of notes (EDC), we saw how to use penalty factors n solvng the EDC problem wth losses. In ths set of notes, we want to address two closely related ssues. What are, exactly,
More information/ Computational Genomics. Normalization
0-80 /02-70 Computatonal Genomcs Normalzaton Gene Expresson Analyss Model Computatonal nformaton fuson Bologcal regulatory networks Pattern Recognton Data Analyss clusterng, classfcaton normalzaton, mss.
More informationarxiv:cond-mat/ v1 [cond-mat.other] 28 Nov 2004
arxv:cond-mat/0411699v1 [cond-mat.other] 28 Nov 2004 Estmatng Probabltes of Default for Low Default Portfolos Katja Pluto and Drk Tasche November 23, 2004 Abstract For credt rsk management purposes n general,
More informationTaxation and Externalities. - Much recent discussion of policy towards externalities, e.g., global warming debate/kyoto
Taxaton and Externaltes - Much recent dscusson of polcy towards externaltes, e.g., global warmng debate/kyoto - Increasng share of tax revenue from envronmental taxaton 6 percent n OECD - Envronmental
More informationTests for Two Correlations
PASS Sample Sze Software Chapter 805 Tests for Two Correlatons Introducton The correlaton coeffcent (or correlaton), ρ, s a popular parameter for descrbng the strength of the assocaton between two varables.
More informationDynamic Analysis of Knowledge Sharing of Agents with. Heterogeneous Knowledge
Dynamc Analyss of Sharng of Agents wth Heterogeneous Kazuyo Sato Akra Namatame Dept. of Computer Scence Natonal Defense Academy Yokosuka 39-8686 JAPAN E-mal {g40045 nama} @nda.ac.jp Abstract In ths paper
More informationOptimal Service-Based Procurement with Heterogeneous Suppliers
Optmal Servce-Based Procurement wth Heterogeneous Supplers Ehsan Elah 1 Saf Benjaafar 2 Karen L. Donohue 3 1 College of Management, Unversty of Massachusetts, Boston, MA 02125 2 Industral & Systems Engneerng,
More information