The Beach Party Problem: An informal introduction to continuity problems in group choice *
|
|
- Jonah Bradford
- 6 years ago
- Views:
Transcription
1 The Beach Party Problem: An informal introduction to continuity problems in group choice * by Nick Baigent Institute of Public Economics, Graz University nicholas.baigent@kfunigraz.ac.at Fax: Abstract This paper discusses the significance of results that show continuity to be incompatible with other desirable properties in the context of group choice. The discussion is based on the two person beach party problem which is the simplest setting in which these results may be expressed. It is argued that, while continuity may be justified in a class of special problems that include the beach party problem, it is not justified for more general interpretations of the beach party problem. *This paper was presented as the Presidential Address of the Central European Program in Economic Theory (CEPET) annual Workshop in Economic Theory (2002). I am grateful to all participants and to CISM for it generous hosting of the Workshop
2 1 Introduction The purpose of this paper is to provide a simple non technical introduction to the group choice problems that arise in the presence of continuity, and to discuss the significance of these problems. Simplicity is achieved by focussing on the simple case of the beach party problem, and by omitting all proofs. Significance is discussed in the context of different interpretations, variations and extensions of the beach party problem. It is argued that continuity plays an important role for group choice problems in which there must be direct preference information transfer from individuals to an entity that transforms this information into a group choice. However, it is also observed that this feature is absent in the central group choice problems in economics. Continuity was first introduced into social choice theory in Chichilnisky (1979, 1980 & 1982a), initiating that which has come to be known as topological social choice theory. However, interest in the area is confined to a small, though energetic and often enthusiastic, group of contributors. It is hoped that this paper goes some way to making this area accessible to a wider audience, whether or not they agree with the conclusions. The intuition underlying the proofs of the results in this paper may best be obtained by the diagramatic presentation in Chichilnisky (1982), and for the theorem in section 2, see the proof using integration in Lauwers (2002) or that in Baigent (2002) which, though quite long, has minimal prerequisites. An elegant proof drawing on Baigent (1984 & 1985) may be found in Candeal and Induráin (1994). Surveys of the area are available in Mehta (1997), Lauwers (2000) and Baigent (2002), and the issues are also discussed in Heal (1997). 2
3 The structure of the paper is as follows. Section 2 presents the beach party problem and a basic result. Variations and Extension of this result are given in section 3 and followed in section 4 by a discussion of the justification of continuity. Section 5 concludes the paper. 2 The beach party problem One person cannot have a party! Therefore assume two agents who wish to have a party on the shore of a perfectly circular lake. Let 1 S denote the shore of the lake. The superscript refers to the fact that this is a one dimensional set of points in the Euclidean plane 2. Later, but only briefly, it will be necessary to refer to a higher dimensional lake shore. Mostly, only the circle in figure 2.1 is required. f( s, s ) s s figure 2.1 In figure 2.1, s denotes the most preferred location of agent 1, s denotes the most preferred location of agent 2, and f( s, s ) denotes the best location for the group given these individually preferred locations. Thus, f : S S S aggregates individually preferred locations into a single group location. 3
4 One possible function would make the group location the same as the location most preferred by the first agent. That is, for all 1 1, f( s, s ) ( s, s ) S S = s. But this is a dictatorship (of agent 1) and therefore not satisfactory. If f : S S S is required to be symmetric, so that for all 1 1, f( s, s ) f( s, s ) ( s, s ) S S = then such dictatorial functions will be excluded. Such functions will be called Anonymous. Another possible function would assign the same group location to all possible lists of 1 individual preferences. That is, for a fixed s* S, for all 1 1, ( s, s ) S S f( s, s ) = s*. But this constant function is imposed in the sense that group choice does not depend in any meaningful way on individual preferences. Such functions are excluded by requiring that if all individuals have the same preferred location, then that must be the group choice. That is, for all s 1 S, f( s, s ) = s. Such functions are called Unanimous. These two simple properties have an immediate appeal, and for many problems are accepted without extensive justification. The remaining property is also widely used without recourse to extensive justification. Indeed, it is usually assumed for "technical" reasons (e.g. to permit differentiation or some other formal technique) and taken to be harmless. This property is continuity. In the present context, f : S S S is a function from a subset of one euclidean space to a subset of another euclidean space, and continuity is defined in the usual way for such functions. 1 Continuity however, is not completely innocuous, as shown by the following result. 4
5 Theorem 2.1 (Chichilnisky (1979, 1982 & 1982): There is no Continuous, Anonymous and Unanimous function f : S S S. 5
6 3 Variations and extensions Variations and extensions of the result given in previous section are presented in this section in order to provide a sufficiently wide context for the discussion in the following section. It will be seen that interest in the beach party problem is not limited to the planning of relatively frivolous social activities. From a purely formal point of view, the beach party problem is the aggregation of a finite list of points in a circle into a single point in a circle. The points in the circle have simple been interpreted as possible "locations" for a beach party. The following interpretations are closely related. Consider a point s in the circle. Such a point induces a preference ranking of all the points in the circle in the following way: s 1 S is ranked as least as high as s S 1 if and only if s is at least as close to s as s is to s. According to this interpretation, s denotes both a favorite location and a ranking of locations according to their distance from that location. Given this interpretation, the aggregation is over preferences rather than alternatives, and this is the usual sort of problem discussed in social choice theory. However, this is by no means the only possible way to associate a preference with a point on a circle. Another preference ranking of a circle's points induced by any particular point s has two indifference classes. According to such a dichotomous preference, s is strictly preferred to all other points between which there is indifference. Given the interpretation in the previous paragraph, it is clear that dichotomous preferences are a domain restriction. Extensive surveys of domain restrictions in general may be found in Gaertner (2000 & 2001). Dichotomous preferences were introduced in the context 6
7 of avoiding majority voting cycles in Inada (1969), and in the context of avoid manipulation in Brams and Fishburn (1978 & 1982).) However, it is clear that dichotomous preferences do not avoid the impossibility given in theorem 2.1. However, neither of these two preference aggregation interpretations of the problem seem to be closely related to the problems that attract most attention in economics, namely aggregations of preferences on commodity bundles. Nevertheless, there is third interpretation that achieves exactly that. Consider the case of two commodities so that the commodity space is 2 +, the non negative orthant of two dimensional real space, and preferences on this commodity space such that indifference curves are linear. Two cases of such linear preferences are illustrated in the left and middle diagrams of figure 3.1. figure 3.1 For any commodity bundle, assign an "arrow" to that point in the following way. The base of the arrow must be placed at the point representing the bundle, the direction of the arrow is perpendicular to the indifference curve and towards more preferred bundles, and the arrow is of unit length. 2 Since these preferences are linear, the arrows all have the same length and direction. It follows that one such arrow is sufficient to determine a linear preference. 7
8 Now take such an arrow from the left or middle diagrams of figure 3.1 and place its base at the center of the unit circle in the right diagram of figure 3.1. Thus, in the right diagram, the arrow pointing to the north east is obtained in this way from the left diagram and the arrow pointing to the north west is obtained from the center diagram. Alternatively, for every point on the unit circle in the right diagram, there is an arrow from the center of the unit circle to that point that determines a linear preference on the commodity space. Thus, the set of all points on the unit circle can be viewed as the set of linear preferences on commodity bundles. For this interpretation, the function f : S S S aggregates linear preferences on commodity bundles into a linear preference on commodity bundles. Now linear preferences are included in larger classes of preferences. Let P denote the set of non satiated preferences that have differentiable indifference curves. See figure 3.2 in which all arrows have the same unit length, but their directions vary in order to preserve perpendicularity with the indifference curves through their base points. 3 figure 3.2 Now consider aggregating two such preferences into group preferences by means of a function F: P P P such that, for all p, p P, F( p, p ) P is the group preference. Anonymity and Unanimity properties can be defined for functions 8
9 F: P P P in way that is similar to that used for functions f : S S S. Now if F: P P P is also continuous, then this would induce a function f : S S S that has all three properties that are known to be incompatible from theorem.2.1. Therefore the following result may be stated: Theorem 3.1 (Chichilnisky (1979, 1982, 1982) There is no continuous Anonymous and Unanimous function F: P P P. It is this theorem that has the strongest claims on the attention of economists. This section is concluded by noting two extensions of theorem 2.1 that may have interpretations of interest to economists. The first concerns the two dimensional boundaries 2 S of three dimensional lakes 3 D. Here 3 D is a ball in 3 and 2 S is its surface. Of course, this can be interpreted as a location problem on the surface of the earth. With appropriate definitions of the properties used in theorem 2.1, the incompatibility can readily be shows to hold for this case as well. It also holds for the following case. Let it is the set of points on or inside 2 D denote the punctured disk in 3. That is, 1 S with a single point removed, as in figure
10 removed point figure 3.2 Some, though not all, countries are topologically 2 dimensional disks. The UK and the USA are not, but the Czech Republic is. Call the location at the puncture "the President's House", and consider the problem of locating a garbage/toxic waste facillity. Since theorem 2.1 is easily extended to cover this problem as well, it follows that there is no continuous Anonymous and Unanimous way to locate a noxious facility when one possible location is excluded. Interestingly, if the President's House is a possible location, then procedures with all three properties do exist, though it does not follow from this that the noxious facility must always be located at the President's House! This section has shown that there exist a fairly rich set of interpretations of the beach party problem. These will provide the basis for discussing the justification of continuity. 10
11 4 Justifications of Continuity Justifications are interpretation specific. That is, a properties my be justified given one interpretation but not given other interpretations. See Sen (1977). This section seeks to clarify the type of interpretations for which continuity is justified, and those for which it is not. Consider first the way that continuity is often imposed routinely for technical reasons, such as to permit the use of formal techniques that require it. When imposed in this way, it is usually thought to be harmless. At least theorems 2.1 and 3.1 serve as a warning that continuity may be anything but harmless. 5 In some aggregation problems it rules out the joint use of two properties, Anonymity and Unanimity, that have strong substantive justifications. What about a substantive justification for continuity? Chichilnisky (1982) points out that continuity "... makes mistakes in identifying preferences less crucial". See also Kelly (1987). It is a "practical" justification. The effectiveness of this justification will depend on the interpretation of the aggregation problem. Consider the beach party interpretation with a little more interpretive structure. Suppose that there is a "party organizer" that is either a real person or a machine. Assume that the party organizer has the purely administrative role of receiving information about individually preferred locations and determining the party location using that information. Chichilnisky's practical justification depends on the possibility of imperfections in the transfer of information from agents to the party organizer. Note however, that the transfer of this information is background interpretation and not an explicit part of the formal model. 11
12 One could certainly imagine situations in which the unfortunate party organizer - administrator - does have difficulty in obtaining good clear information on where the partygoers want to whoop it up. But one could also imagine an organizer (machine or process) for which there would be no error dealing with rational partygoers. After all, given the circumference of the lake, the partygoers only need a single number (the direction of an arrow) to the party organizer who then puts this information into the formula for f : S S S. In that case, there is no practical purpose for continuity to serve. On the other hand, if for example, errors in s are possible, then the significance of mistakes will indeed be reduced in the case of continuous aggregation. Now consider a more general, and more abstract, interpretation of the beach party problem that draws heavily on the theory of mechanism design. The framework is illustrated in figure 4.1. Beginning in the top left corner, L k = P denotes the set of all lists of individual preferences, one preference for each of the finite number, k, of individuals, k > 1. The function f assigns a group preference to all such lists of individual preferences. It is very important to emphasize that this function is evaluative in the sense that the group preferences that it gives are the preferences that the group ought to have given the preferences in the list L. The function β determines a unique best alternative, tie breaking if necessary, in the set of all possible alternatives X, for all possible group preferences. Thus, the composition β f will give what alternative ought to be the case, for all possible lists of individual preferences. Thus, the entire top of the diagram in figure 4.1 illustrates outcome evaluation. In contrast, the lower left and right parts of the diagram in figure 4.1 illustrate outcome determination. 12
13 Lists of preferences: L f Group preferences: P β Outcomes: X α m m Actions: A figure 4.1 Outcomes are determined by the actions of individuals. This transformation of individual actions into social outcomes is sometimes called a mechanism, but also an institution, outcome function or game form. In any case, the function m determines an outcome for all actions in the set A of all possible actions of all individuals. 6 These actions are chosen by individuals on the basis of their preferences and in view of the function m. The function that does this is α m. That is, the composition m αm of αm and m determines what the outcome will be for all possible lists of individual preferences. This framework makes clear the dual role of individual preferences, in outcome evaluation and outcome determination. What might be called classical social choice theory, in the tradition established by Arrow and Sen, is concerned with the consistency of properties that might be imposed on f. The theory of mechanism design views f as fixed and the design issue then is the determination of a function m, that for some basis of behavior α m, brings outcome determination into line with outcome evaluation so that the diagram in figure 4.1 commutes. That is, m implements f relative to α m if and only if β f = m α. 13 m
14 The role of individual preferences in outcome evaluation is hypothetical. "If individual preferences are given by the list l L, then the group preference ought to be f( l ) and the social outcome ought to be β ( f( l)) ". In this hypothetical, or conditional, use of individual preferences, there is no transfer of preference information to anyone, and therefore mistakes cannot arise. The role of preferences in outcome determination is that individuals "use" their own preferences to choose actions. Given such self-use, there is no transfer of preference information to anyone who then determines a group outcome using this information. However, suppose that m implements f relative to α m. It follows that Now consider a special case in which actions are declared, that is revealed, β f = m α. preferences. That is, let L= A and consider a mechanism µ = β f. Assume further that α µ is the identity function on L, so that behavior always reveals correct m preferences. 7 In the theory of mechanism design, this is often described in fictional terms as though the mechanism µ is a "planner" who receives preference information messages from individuals from which the planner determines a social outcome using µ = β f. According to this story, we do have transfer of preference information from individuals to a planner. However, this story is merely a convenient fiction. Given all of the assumptions in the previous paragraph, µ = β f can be regarded as a reduced form of outcome determination that is really described by m αm. The planner is a fiction, only useful for expository story telling and, in that story, there cannot be mistakes because the underlying reality summarizes in reduced form a reality in which there are no transfers of preference information. 14
15 5 Conclusion After introducing the beach party problem (section 2), and discussing some of its variations and extension (section 3), the justification of continuity was discussed (section 4). It was argued that the justification given by Chichilnisky is only successful for problems in which there is some preference information transfer. It was concluded, however, that while preference transfer is a feature of some group choice problems, it is not a feature of those that are of central interest to economists. This does not mean that continuity cannot be justified. It just means that it requires more than currently exists in the literature and the significance of this area of social choice theory remains tentative. 1 More specifically, the topologies on the domain and range of f are induced by the usual Euclidean topologies. 2 Formally, the preference is represented by a constant unit vector field on the commodity space. 3 Since only ordinal preferences matter, the lengths of all arrows are normalized to one. 4 The indifference curves are locally linear, so the induced function approximates F at a point. 5 I owe this argument to the late Mike Martin of Essex University. 6 More specifically, A is the Cartesian product of the sets of possible individual actions. 7 In more specific models, this is proved and known as the Revelation Principle. References: Baigent, N. (2002): Topological Theories of Social Choice, forthcoming in Handbook of Social Choice and Welfare vol 2, edited by K. Arrow, A. K. Sen and K. Suzumura, New York: North-Holland. Baigent, N., A reformulation of Chichilnisky's impossibility theorem. Economics Letters 16, Baigent, N., Anonymity and continuous social choice. Joumal of Mathematical Economics 14, 1-4. Brams, S.J. and P.C. Fishburn, 1978, "Approval Voting"; American Political Science Review; Vol. 72, No. 3; September;
16 Brams, S.J. and P.C. Fishburn; 1982, Approval Voting; Boston; Birkhäuser. Candeal, J.C., Induráin, E., 1994a. The Moebius strip and a social choice paradox. Economics Letters 45, Chichilnisky, G., On fixed point theorems and social choice paradoxes. Economics Letters 3, Chichilnisky, G., Social choice and the topology of spaces of preferences. Advances in Mathematics 37, Chichilnisky, G., 1982, Social aggregation rules and continuity. Quarterly Journal of Economics 97, Gaertner, W., 2000, Domain Restrictions in vol. 1, forthcoming in Handbook of Social Choice and Welfare vol 1, edited by K. Arrow, A. K. Sen and K. Suzumura, New York: North-Holland. Gaertner, W., 2001, Domain Conditions in Social Choice Theory, Cambridge, Cambridge University Press. Heal, G., 1997a. Social choice and resource allocation: a topological perspective. Social Choice and Welfare 14, Inada, K.I., 1969, The Simple Majority Decision Rule, Econometrica, 37, Kelly, Jerry S.; 1987, Social Choice Theory: An Introduction; Berlin; Springer Verlag. Lauwers, L., Topological Social Choice, Mathematical Social Sciences, 40, Lauwers, L., 2002, A note on Chichilnisky's social choice paradox, Theory and Decision, 52(3), Mehta, P., Topological methods in social choice: an overview. Social Choice and Welfare 14,
17 Sen, A. K. (1977): Social Choice Theory: A Re-examination, Econometrica, 45,
On the topological equivalence of the Arrow impossibility theorem and Amartya Sen s liberal paradox
Applied Mathematics and Computation 181 (2006) 1490 1498 www.elsevier.com/locate/amc On the topological equivalence of the Arrow impossibility theorem and Amartya Sen s liberal paradox Yasuhito Tanaka
More information3.1 Arrow s Theorem. We study now the general case in which the society has to choose among a number of alternatives
3.- Social Choice and Welfare Economics 3.1 Arrow s Theorem We study now the general case in which the society has to choose among a number of alternatives Let R denote the set of all preference relations
More informationFollow links for Class Use and other Permissions. For more information send to:
COPYRIGHT NOTICE: Ariel Rubinstein: Lecture Notes in Microeconomic Theory is published by Princeton University Press and copyrighted, c 2006, by Princeton University Press. All rights reserved. No part
More informationHans Peters, Souvik Roy, Ton Storcken. Manipulation under k-approval scoring rules RM/08/056. JEL code: D71, D72
Hans Peters, Souvik Roy, Ton Storcken Manipulation under k-approval scoring rules RM/08/056 JEL code: D71, D72 Maastricht research school of Economics of TEchnology and ORganizations Universiteit Maastricht
More informationThe Axiomatic Method in Social Choice Theory:
The Axiomatic Method in Social Choice Theory: Preference Aggregation, Judgment Aggregation, Graph Aggregation Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam Ulle Endriss
More informationSocial Choice Theory. Felix Munoz-Garcia School of Economic Sciences Washington State University. EconS Advanced Microeconomics II
Social Choice Theory Felix Munoz-Garcia School of Economic Sciences Washington State University EconS 503 - Advanced Microeconomics II Social choice theory MWG, Chapter 21. JR, Chapter 6.2-6.5. Additional
More informationFinite Dictatorships and Infinite Democracies
Finite Dictatorships and Infinite Democracies Iian B. Smythe October 20, 2015 Abstract Does there exist a reasonable method of voting that when presented with three or more alternatives avoids the undue
More informationSocial Welfare Functions that Satisfy Pareto, Anonymity, and Neutrality: Countable Many Alternatives. Donald E. Campbell College of William and Mary
Social Welfare Functions that Satisfy Pareto, Anonymity, and Neutrality: Countable Many Alternatives Donald E. Campbell College of William and Mary Jerry S. Kelly Syracuse University College of William
More information"Arrow s Theorem and the Gibbard-Satterthwaite Theorem: A Unified Approach", by Phillip Reny. Economic Letters (70) (2001),
February 25, 2015 "Arrow s Theorem and the Gibbard-Satterthwaite Theorem: A Unified Approach", by Phillip Reny. Economic Letters (70) (2001), 99-105. Also recommended: M. A. Satterthwaite, "Strategy-Proof
More informationA topological approach to Wilson s impossibility theorem
Journal of Mathematical Economics 43 (2007) 184 191 A topological approach to Wilson s impossibility theorem Yasuhito Tanaka Faculty of Economics, Doshisha University, Kamigyo-ku, Kyoto 602-8580, Japan
More informationRedistribution Mechanisms for Assignment of Heterogeneous Objects
Redistribution Mechanisms for Assignment of Heterogeneous Objects Sujit Gujar Dept of Computer Science and Automation Indian Institute of Science Bangalore, India sujit@csa.iisc.ernet.in Y Narahari Dept
More informationExpertise and Complexity in the Social and Engineering Sciences: An Extended Sen s Theorem
Expertise and Complexity in the Social and Engineering Sciences: An Extended Sen s Theorem Donald G. Saari Institute for Mathematical Behavioral Sciences University of California Irvine, CA 92617-5100
More informationAlgorithmic Game Theory and Applications
Algorithmic Game Theory and Applications Lecture 18: Auctions and Mechanism Design II: a little social choice theory, the VCG Mechanism, and Market Equilibria Kousha Etessami Reminder: Food for Thought:
More informationA Characterization of Single-Peaked Preferences via Random Social Choice Functions
A Characterization of Single-Peaked Preferences via Random Social Choice Functions Shurojit Chatterji, Arunava Sen and Huaxia Zeng September 2014 Paper No. 13-2014 ANY OPINIONS EXPRESSED ARE THOSE OF THE
More informationA Role of Common Morality in Social Choice
A Role of Common Morality in Social Choice Susumu Cato Graduate School of Economics, The University of Tokyo, Japan Society for the Promotion of Science Research Fellow First Version: January 10, 2007
More informationParetian evaluation of infinite utility streams: an egalitarian criterion
MPRA Munich Personal RePEc Archive Paretian evaluation of infinite utility streams: an egalitarian criterion José Carlos R. Alcantud and María D. García-Sanz Universidad de Salamanca, Spain 17. December
More informationAPPLIED MECHANISM DESIGN FOR SOCIAL GOOD
APPLIED MECHANISM DESIGN FOR SOCIAL GOOD JOHN P DICKERSON Lecture #3 09/06/2016 CMSC828M Tuesdays & Thursdays 12:30pm 1:45pm REMINDER: SEND ME TOP 3 PRESENTATION PREFERENCES! I LL POST THE SCHEDULE TODAY
More informationAntonio Quesada Universidad de Murcia. Abstract
From social choice functions to dictatorial social welfare functions Antonio Quesada Universidad de Murcia Abstract A procedure to construct a social welfare function from a social choice function is suggested
More informationThe Coordinate-Wise Core for Multiple-Type Housing Markets is Second-Best Incentive Compatible
The Coordinate-Wise Core for Multiple-Type Housing Markets is Second-Best Incentive Compatible Bettina Klaus October 2005 Abstract We consider the generalization of Shapley and Scarf s (1974) model of
More informationIntroduction. 1 University of Pennsylvania, Wharton Finance Department, Steinberg Hall-Dietrich Hall, 3620
May 16, 2006 Philip Bond 1 Are cheap talk and hard evidence both needed in the courtroom? Abstract: In a recent paper, Bull and Watson (2004) present a formal model of verifiability in which cheap messages
More informationRecognizing single-peaked preferences on aggregated choice data
Recognizing single-peaked preferences on aggregated choice data Smeulders B. KBI_1427 Recognizing Single-Peaked Preferences on Aggregated Choice Data Smeulders, B. Abstract Single-Peaked preferences play
More informationImplementation of the Ordinal Shapley Value for a three-agent economy 1
Implementation of the Ordinal Shapley Value for a three-agent economy 1 David Pérez-Castrillo 2 Universitat Autònoma de Barcelona David Wettstein 3 Ben-Gurion University of the Negev April 2005 1 We gratefully
More informationApproximation Algorithms and Mechanism Design for Minimax Approval Voting 1
Approximation Algorithms and Mechanism Design for Minimax Approval Voting 1 Ioannis Caragiannis, Dimitris Kalaitzis, and Evangelos Markakis Abstract We consider approval voting elections in which each
More informationarxiv: v2 [math.co] 14 Apr 2011
Complete Characterization of Functions Satisfying the Conditions of Arrow s Theorem Elchanan Mossel and Omer Tamuz arxiv:0910.2465v2 [math.co] 14 Apr 2011 April 15, 2011 Abstract Arrow s theorem implies
More informationThe Arrow Impossibility Theorem Of Social Choice Theory In An Infinite Society And Limited Principle Of Omniscience
Applied Mathematics E-Notes, 8(2008), 82-88 c ISSN 1607-2510 Available free at mirror sites of http://www.math.nthu.edu.tw/ amen/ The Arrow Impossibility Theorem Of Social Choice Theory In An Infinite
More informationSingle-plateaued choice
Single-plateaued choice Walter Bossert Department of Economics and CIREQ, University of Montreal P.O. Box 6128, Station Downtown Montreal QC H3C 3J7, Canada walter.bossert@umontreal.ca and Hans Peters
More informationNash Equilibria of Games When Players Preferences Are Quasi-Transitive
Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Policy Research Working Paper 7037 Nash Equilibria of Games When Players Preferences
More informationApproximation Algorithms and Mechanism Design for Minimax Approval Voting
Approximation Algorithms and Mechanism Design for Minimax Approval Voting Ioannis Caragiannis RACTI & Department of Computer Engineering and Informatics University of Patras, Greece caragian@ceid.upatras.gr
More informationMAXIMAL POSSIBILITY AND MINIMAL DICTATORIAL COVERS OF DOMAINS
MAXIMAL POSSIBILITY AND MINIMAL DICTATORIAL COVERS OF DOMAINS Gopakumar Achuthankutty 1 and Souvik Roy 1 1 Economic Research Unit, Indian Statistical Institute, Kolkata Abstract In line with the works
More informationArrow s Paradox. Prerna Nadathur. January 1, 2010
Arrow s Paradox Prerna Nadathur January 1, 2010 Abstract In this paper, we examine the problem of a ranked voting system and introduce Kenneth Arrow s impossibility theorem (1951). We provide a proof sketch
More informationAn equity-efficiency trade-off in a geometric approach to committee selection Daniel Eckert and Christian Klamler
An equity-efficiency trade-off in a geometric approach to committee selection Daniel Eckert and Christian Klamler An equity-efficiency trade-off in a geometric approach to committee selection Daniel Eckert
More informationSocial choice theory, Arrow s impossibility theorem and majority judgment
Université Paris-Dauphine - PSL Cycle Pluridisciplinaire d Etudes Supérieures Social choice theory, Arrow s impossibility theorem and majority judgment Victor Elie supervised by Miquel Oliu Barton June
More informationDECISIONS UNDER UNCERTAINTY
August 18, 2003 Aanund Hylland: # DECISIONS UNDER UNCERTAINTY Standard theory and alternatives 1. Introduction Individual decision making under uncertainty can be characterized as follows: The decision
More informationGame Theory: Spring 2017
Game Theory: Spring 2017 Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam Ulle Endriss 1 Plan for Today In this second lecture on mechanism design we are going to generalise
More informationEconomic Core, Fair Allocations, and Social Choice Theory
Chapter 9 Nathan Smooha Economic Core, Fair Allocations, and Social Choice Theory 9.1 Introduction In this chapter, we briefly discuss some topics in the framework of general equilibrium theory, namely
More informationA Note on the McKelvey Uncovered Set and Pareto Optimality
Noname manuscript No. (will be inserted by the editor) A Note on the McKelvey Uncovered Set and Pareto Optimality Felix Brandt Christian Geist Paul Harrenstein Received: date / Accepted: date Abstract
More informationWhitney topology and spaces of preference relations. Abstract
Whitney topology and spaces of preference relations Oleksandra Hubal Lviv National University Michael Zarichnyi University of Rzeszow, Lviv National University Abstract The strong Whitney topology on the
More informationAlgorithmic Game Theory Introduction to Mechanism Design
Algorithmic Game Theory Introduction to Mechanism Design Makis Arsenis National Technical University of Athens April 216 Makis Arsenis (NTUA) AGT April 216 1 / 41 Outline 1 Social Choice Social Choice
More informationComputational Tasks and Models
1 Computational Tasks and Models Overview: We assume that the reader is familiar with computing devices but may associate the notion of computation with specific incarnations of it. Our first goal is to
More informationDependence and Independence in Social Choice Theory
Dependence and Independence in Social Choice Theory Eric Pacuit Department of Philosophy University of Maryland, College Park pacuit.org epacuit@umd.edu March 4, 2014 Eric Pacuit 1 Competing desiderata
More information6.207/14.15: Networks Lecture 24: Decisions in Groups
6.207/14.15: Networks Lecture 24: Decisions in Groups Daron Acemoglu and Asu Ozdaglar MIT December 9, 2009 1 Introduction Outline Group and collective choices Arrow s Impossibility Theorem Gibbard-Satterthwaite
More informationAPPLIED MECHANISM DESIGN FOR SOCIAL GOOD
APPLIED MECHANISM DESIGN FOR SOCIAL GOOD JOHN P DICKERSON Lecture #21 11/8/2016 CMSC828M Tuesdays & Thursdays 12:30pm 1:45pm IMPOSSIBILITY RESULTS IN VOTING THEORY / SOCIAL CHOICE Thanks to: Tuomas Sandholm
More informationRecap Social Choice Fun Game Voting Paradoxes Properties. Social Choice. Lecture 11. Social Choice Lecture 11, Slide 1
Social Choice Lecture 11 Social Choice Lecture 11, Slide 1 Lecture Overview 1 Recap 2 Social Choice 3 Fun Game 4 Voting Paradoxes 5 Properties Social Choice Lecture 11, Slide 2 Formal Definition Definition
More informationOn the Strategy-proof Social Choice of Fixed-sized Subsets
Nationalekonomiska institutionen MASTER S THESIS, 30 ECTS On the Strategy-proof Social Choice of Fixed-sized Subsets AUTHOR: ALEXANDER REFFGEN SUPERVISOR: LARS-GUNNAR SVENSSON SEPTEMBER, 2006 Contents
More informationMathematical models in economy. Short descriptions
Chapter 1 Mathematical models in economy. Short descriptions 1.1 Arrow-Debreu model of an economy via Walras equilibrium problem. Let us consider first the so-called Arrow-Debreu model. The presentation
More informationNOTES ON COOPERATIVE GAME THEORY AND THE CORE. 1. Introduction
NOTES ON COOPERATIVE GAME THEORY AND THE CORE SARA FROEHLICH 1. Introduction Cooperative game theory is fundamentally different from the types of games we have studied so far, which we will now refer to
More informationEconomics Bulletin, 2012, Vol. 32 No. 1 pp Introduction. 2. The preliminaries
1. Introduction In this paper we reconsider the problem of axiomatizing scoring rules. Early results on this problem are due to Smith (1973) and Young (1975). They characterized social welfare and social
More informationArrow s Impossibility Theorem: Preference Diversity in a Single-Profile World
Arrow s Impossibility Theorem: Preference Diversity in a Single-Profile World Brown University Department of Economics Working Paper No. 2007-12 Allan M. Feldman Department of Economics, Brown University
More informationPHIL 308S: Voting Theory and Fair Division
PHIL 308S: Voting Theory and Fair Division Lecture 12 Eric Pacuit Department of Philosophy University of Maryland, College Park ai.stanford.edu/ epacuit epacuit@umd.edu October 18, 2012 PHIL 308S: Voting
More informationFault Tolerant Implementation
Review of Economic Studies (2002) 69, 589 610 0034-6527/02/00230589$02.00 c 2002 The Review of Economic Studies Limited Fault Tolerant Implementation KFIR ELIAZ New York University First version received
More informationThe New Palgrave: Separability
The New Palgrave: Separability Charles Blackorby Daniel Primont R. Robert Russell 1. Introduction July 29, 2006 Separability, as discussed here, refers to certain restrictions on functional representations
More informationExistence Theorems of Continuous Social Aggregation for Infinite Discrete Alternatives
GRIPS Discussion Paper 17-09 Existence Theorems of Continuous Social Aggregation for Infinite Discrete Alternatives Stacey H. Chen Wu-Hsiung Huang September 2017 National Graduate Institute for Policy
More informationOnline Appendix to Strategy-proof tie-breaking in matching with priorities
Online Appendix to Strategy-proof tie-breaking in matching with priorities Lars Ehlers Alexander Westkamp December 12, 2017 Section 1 contains the omitted proofs of Lemma 5, Lemma 6 and Lemma 7 Subsection
More informationANDREW YOUNG SCHOOL OF POLICY STUDIES
ANDREW YOUNG SCHOOL OF POLICY STUDIES On procedures for measuring deprivation and living standards of societies in a multi-attribute framework Prasanta K. Pattanaik Department of Economics, University
More informationSocial Choice. Jan-Michael van Linthoudt
Social Choice Jan-Michael van Linthoudt Summer term 2017 Version: March 15, 2018 CONTENTS Remarks 1 0 Introduction 2 1 The Case of 2 Alternatives 3 1.1 Examples for social choice rules............................
More informationReference-based Preferences Aggregation Procedures in Multicriteria Decision Making
Reference-based Preferences Aggregation Procedures in Multicriteria Decision Making Antoine Rolland Laboratoire ERIC - Université Lumière Lyon 2 5 avenue Pierre Mendes-France F-69676 BRON Cedex - FRANCE
More informationStrategy-Proofness on the Condorcet Domain
College of William and Mary W&M ScholarWorks Undergraduate Honors Theses Theses, Dissertations, & Master Projects 5-2008 Strategy-Proofness on the Condorcet Domain Lauren Nicole Merrill College of William
More informationInequality of Representation
Inequality of Representation Hannu Nurmi Public Choice Research Centre University of Turku Institutions in Context: Inequality (HN/PCRC) Inequality of Representation June 3 9, 2013 1 / 31 The main points
More information1. The Problem. Table 1
1 A Possibility Theorem on Aggregation Over Multiple Interconnected Propositions Christian List 1 forthcoming in Mathematical Social Sciences Abstract. Drawing on the so-called doctrinal paradox, List
More informationMechanism Design for Resource Bounded Agents
Mechanism Design for Resource Bounded Agents International Conference on Multi-Agent Systems, ICMAS 2000 Noa E. Kfir-Dahav Dov Monderer Moshe Tennenholtz Faculty of Industrial Engineering and Management
More informationAdditive Consistency of Fuzzy Preference Relations: Characterization and Construction. Extended Abstract
Additive Consistency of Fuzzy Preference Relations: Characterization and Construction F. Herrera a, E. Herrera-Viedma a, F. Chiclana b Dept. of Computer Science and Artificial Intelligence a University
More informationPareto Efficiency (also called Pareto Optimality)
Pareto Efficiency (also called Pareto Optimality) 1 Definitions and notation Recall some of our definitions and notation for preference orderings. Let X be a set (the set of alternatives); we have the
More informationGreat Expectations. Part I: On the Customizability of Generalized Expected Utility*
Great Expectations. Part I: On the Customizability of Generalized Expected Utility* Francis C. Chu and Joseph Y. Halpern Department of Computer Science Cornell University Ithaca, NY 14853, U.S.A. Email:
More informationArrow s General (Im)Possibility Theorem
Division of the Humanities and ocial ciences Arrow s General (Im)Possibility Theorem KC Border Winter 2002 Let X be a nonempty set of social alternatives and let P denote the set of preference relations
More informationMaking Sense. Tom Carter. tom/sfi-csss. April 2, 2009
Making Sense Tom Carter http://astarte.csustan.edu/ tom/sfi-csss April 2, 2009 1 Making Sense Introduction / theme / structure 3 Language and meaning 6 Language and meaning (ex)............... 7 Theories,
More informationTHE UNIVERSITY OF KANSAS WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS
THE UNIVERSITY OF KANSAS WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS AN EFFICIENCY CHARACTERIZATION OF PLURALITY SOCIAL CHOICE ON SIMPLE PREFERENCE DOMAINS Biung-Ghi Ju University of Kansas
More informationTHREE BRIEF PROOFS OF ARROW S IMPOSSIBILITY THEOREM JOHN GEANAKOPLOS COWLES FOUNDATION PAPER NO. 1116
THREE BRIEF PROOFS OF ARROW S IMPOSSIBILITY THEOREM BY JOHN GEANAKOPLOS COWLES FOUNDATION PAPER NO. 1116 COWLES FOUNDATION FOR RESEARCH IN ECONOMICS YALE UNIVERSITY Box 208281 New Haven, Connecticut 06520-8281
More informationChapter 12: Social Choice Theory
Chapter 12: Social Choice Theory Felix Munoz-Garcia School of Economic Sciences Washington State University 1 1 Introduction In this chapter, we consider a society with I 2 individuals, each of them endowed
More informationEntropic Selection of Nash Equilibrium
Entropic Selection of Nash Equilibrium Zeynel Harun Alioğulları Mehmet Barlo February, 2012 Abstract This study argues that Nash equilibria with less variations in players best responses are more appealing.
More informationA General Impossibility Result on Strategy-Proof Social Choice Hyperfunctions
A General Impossibility Result on Strategy-Proof Social Choice Hyperfunctions Selçuk Özyurt and M. Remzi Sanver May 22, 2008 Abstract A social choice hyperfunction picks a non-empty set of alternatives
More informationA FAIR SOLUTION TO THE COMPENSATION PROBLEM. Giacomo Valletta WORK IN PROGRESS, PLEASE DO NOT QUOTE. Introduction
A FAIR SOLUTION TO THE COMPENSATION PROBLEM Giacomo Valletta WORK IN PROGRESS, PLEASE DO NOT QUOTE Abstract. In this paper we deal with a fair division model concerning compensation among individuals endowed
More informationMicroeconomic Analysis
Microeconomic Analysis Seminar 1 Marco Pelliccia (mp63@soas.ac.uk, Room 474) SOAS, 2014 Basics of Preference Relations Assume that our consumer chooses among L commodities and that the commodity space
More informationUnlinked Allocations in an Exchange Economy with One Good and One Bad
Unlinked llocations in an Exchange Economy with One Good and One ad Chiaki Hara Faculty of Economics and Politics, University of Cambridge Institute of Economic Research, Hitotsubashi University pril 16,
More informationSocial Choice and Mechanism Design - Part I.2. Part I.2: Social Choice Theory Summer Term 2011
Social Choice and Mechanism Design Part I.2: Social Choice Theory Summer Term 2011 Alexander Westkamp April 2011 Introduction Two concerns regarding our previous approach to collective decision making:
More informationApproval Voting: Three Examples
Approval Voting: Three Examples Francesco De Sinopoli, Bhaskar Dutta and Jean-François Laslier August, 2005 Abstract In this paper we discuss three examples of approval voting games. The first one illustrates
More informationFAIR REALLOCATION IN ECONOMIES WITH SINGLE-PEAKED PREFERENCES
Discussion Paper No. 947 FAIR REALLOCATION IN ECONOMIES WITH SINGLE-PEAKED PREFERENCES Kazuhiko Hashimoto Takuma Wakayama September 2015 The Institute of Social and Economic Research Osaka University 6-1
More informationExpected utility without full transitivity
Expected utility without full transitivity Walter Bossert Department of Economics and CIREQ University of Montreal P.O. Box 6128, Station Downtown Montreal QC H3C 3J7 Canada FAX: (+1 514) 343 7221 e-mail:
More informationConsistent multidimensional poverty comparisons
Preliminary version - Please do not distribute Consistent multidimensional poverty comparisons Kristof Bosmans a Luc Lauwers b Erwin Ooghe b a Department of Economics, Maastricht University, Tongersestraat
More informationThe Shapley Value for games with a finite number of effort levels. by Joël Adam ( )
The Shapley Value for games with a finite number of effort levels by Joël Adam (5653606) Department of Economics of the University of Ottawa in partial fulfillment of the requirements of the M.A. Degree
More informationUncertainty. Michael Peters December 27, 2013
Uncertainty Michael Peters December 27, 20 Lotteries In many problems in economics, people are forced to make decisions without knowing exactly what the consequences will be. For example, when you buy
More informationMerging and splitting endowments. in object assignment problems. Nanyang Bu, Siwei Chen, and William Thomson. Working Paper No.
Merging splitting endowments in object assignment problems Nanyang Bu, Siwei Chen, William Thomson Working Paper No 587 December 2014 Merging splitting endowments in object assignment problems Nanyang
More informationNon-deteriorating Choice Without Full Transitivity
Analyse & Kritik 29/2007 ( c Lucius & Lucius, Stuttgart) p. 163 187 Walter Bossert/Kotaro Suzumura Non-deteriorating Choice Without Full Transitivity Abstract: Although the theory of greatest-element rationalizability
More informationThe Econometric Society is collaborating with JSTOR to digitize, preserve and extend access to Econometrica.
A Set of Independent Necessary and Sufficient Conditions for Simple Majority Decision Author(s): Kenneth O. May Source: Econometrica, Vol. 20, No. 4 (Oct., 1952), pp. 680-684 Published by: The Econometric
More informationGame Theory Fall 2003
Game Theory Fall 2003 Problem Set 1 [1] In this problem (see FT Ex. 1.1) you are asked to play with arbitrary 2 2 games just to get used to the idea of equilibrium computation. Specifically, consider the
More informationTheory of Knowledge Lesson One:!!! The Map is not the Territory. One of the key questions of/for this course is:!!!! How do we know?
Theory of Knowledge 3813 Lesson One:!!! The Map is not the Territory One of the key questions of/for this course is:!!!! How do we know? Two of the key components of/for this course are:!!!! OPEN MIND!!!!
More informationIdentifying Groups in a Boolean Algebra
Identifying Groups in a Boolean Algebra Wonki Jo Cho Biung-Ghi Ju June 27, 2018 Abstract We study the problem of determining memberships to the groups in a Boolean algebra. The Boolean algebra is composed
More informationA Note on Incompleteness, Transitivity and Suzumura Consistency
A Note on Incompleteness, Transitivity and Suzumura Consistency Richard Bradley Department of Philosophy, Logic and Scientific Method London School of Economics and Political Science February 24, 2015
More informationSufficient Conditions for Weak Group-Strategy-Proofness
Sufficient Conditions for Weak Group-Strategy-Proofness T.C.A. Madhav Raghavan 31 July, 2014 Abstract In this note we study group-strategy-proofness, which is the extension of strategy-proofness to groups
More informationOn the Shapley-Scarf Economy: The Case of Multiple Types of Indivisible Goods
On the Shapley-Scarf Economy: The Case of Multiple Types of Indivisible Goods Hideo Konishi Thomas Quint Jun Wako April, 1997 (first version) October 1997 (revised) July 20, 2000 (second revision) file
More informationA General Overview of Parametric Estimation and Inference Techniques.
A General Overview of Parametric Estimation and Inference Techniques. Moulinath Banerjee University of Michigan September 11, 2012 The object of statistical inference is to glean information about an underlying
More informationIMPOSSIBILITY OF A WALRASIAN BARGAINING SOLUTION 1
IMPOSSIBILITY OF A WALRASIAN BARGAINING SOLUTION 1 Murat R. Sertel 2 Turkish Academy of Sciences Muhamet Yıldız 3 MIT Forthcoming in Koray and Sertel (eds.) Advances in Economic Design, Springer, Heidelberg.
More informationSocial Dichotomy Functions (extended abstract)
Social Dichotomy Functions (extended abstract) Conal Duddy, Nicolas Houy, Jérôme Lang, Ashley Piggins, and William S. Zwicker February 22, 2014 1 What is a Social Dichotomy Function? A dichotomy A = (A
More informationMulti-profile intertemporal social choice: a survey
Multi-profile intertemporal social choice: a survey Walter Bossert Department of Economics and CIREQ University of Montreal P.O. Box 6128, Station Downtown Montreal QC H3C 3J7 Canada FAX: (+1 514) 343
More informationSurvey of Voting Procedures and Paradoxes
Survey of Voting Procedures and Paradoxes Stanford University ai.stanford.edu/ epacuit/lmh Fall, 2008 :, 1 The Voting Problem Given a (finite) set X of candidates and a (finite) set A of voters each of
More informationUNIVERSITY OF NOTTINGHAM. Discussion Papers in Economics CONSISTENT FIRM CHOICE AND THE THEORY OF SUPPLY
UNIVERSITY OF NOTTINGHAM Discussion Papers in Economics Discussion Paper No. 0/06 CONSISTENT FIRM CHOICE AND THE THEORY OF SUPPLY by Indraneel Dasgupta July 00 DP 0/06 ISSN 1360-438 UNIVERSITY OF NOTTINGHAM
More informationNonlinear Dynamics between Micromotives and Macrobehavior
Nonlinear Dynamics between Micromotives and Macrobehavior Saori Iwanaga & kira Namatame Dept. of Computer Science, National Defense cademy, Yokosuka, 239-8686, JPN, E-mail: {g38042, nama}@nda.ac.jp Tel:
More informationApplications I: consumer theory
Applications I: consumer theory Lecture note 8 Outline 1. Preferences to utility 2. Utility to demand 3. Fully worked example 1 From preferences to utility The preference ordering We start by assuming
More informationArrow s Impossibility Theorem and Experimental Tests of Preference Aggregation
Arrow s Impossibility Theorem and Experimental Tests of Preference Aggregation Todd Davies Symbolic Systems Program Stanford University joint work with Raja Shah, Renee Trochet, and Katarina Ling Decision
More informationOUTER MEASURE AND UTILITY
ECOLE POLYTECHNIQUE CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE OUTER MEASURE AND UTILITY Mark VOORNEVELD Jörgen W. WEIBULL October 2008 Cahier n 2008-28 DEPARTEMENT D'ECONOMIE Route de Saclay 91128 PALAISEAU
More informationEconometric Causality
Econometric (2008) International Statistical Review, 76(1):1-27 James J. Heckman Spencer/INET Conference University of Chicago Econometric The econometric approach to causality develops explicit models
More information