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Social choice theory is a branch of welfare economics that extends the theory of rational choice to collective decision-making.^[1] Social choice studies the behavior of different mathematical procedures (social welfare functions) used to combine individual preferences into a coherent whole.^[2]^[3]^[4] It contrasts with political science in that it is a normative field that studies how a society can make good decisions, whereas political science is a descriptive field that observes how societies actually do make decisions. While social choice began as a branch of economics and decision theory, it has since received substantial contributions from mathematics, philosophy, political science, and game theory.

Real-world examples of social choice rules include constitutions and parliamentary procedures for voting on laws, as well as electoral systems;^[5] as such, the field is occasionally called voting theory.^[5]^[6]^[7] It is closely related to mechanism design, which uses game theory to model social choice with imperfect information and self-interested citizens.

Social choice differs from decision theory in that the latter is concerned with how individuals, rather than societies, can make rational decisions.

History

The earliest work on social choice theory comes from the writings of the Marquis de Condorcet, who formulated several key results including his jury theorem and his example showing the impossibility of majority rule. His work was prefigured by Ramon Llull's 1299 manuscript Ars Electionis (The Art of Elections), which discussed many of the same concepts, but was lost in the Late Middle Ages and only rediscovered in the early 21st century.^[8]

Kenneth Arrow's book Social Choice and Individual Values is often recognized as inaugurating the modern era of social choice theory.^[4] Later work has also considered approaches to legal compensation, fair division, variable populations,^{[citation needed]} partial strategy-proofing of social-choice mechanisms,^[9] natural resources,^[4] capabilities and functionings approaches,^[10] and measures of welfare.^[11]^[12]^[13]

Key results

Arrow's impossibility theorem

Arrow's impossibility theorem is a key result showing that social choice functions based only on ordinal comparisons, rather than cardinal utility, will behave incoherently (unless they are dictatorial). Such systems violate independence of irrelevant alternatives, meaning they suffer from spoiler effects—the system can behave erratically in response to changes in the quality or popularity of one of the options.

Condorcet cycles

Condorcet's example demonstrates that democracy cannot be thought of as being the same as simple majority rule or majoritarianism; otherwise, it will be self-contradictory when three or more options are available. Majority rule can create cycles that violate the transitive property: Attempting to use majority rule as a social choice function creates situations where we have A better than B and B better than C, but C is also better than A.

This contrasts with May's theorem, which shows that simple majority is the optimal voting mechanism when there are only two outcomes, and only ordinal preferences are allowed.

Harsanyi's theorem

Harsanyi's utilitarian theorem shows that if individuals have preferences that are well-behaved under uncertainty (i.e. coherent), the only coherent and Pareto efficient social choice function is the utilitarian rule. This lends some support to the viewpoint expressed of John Stuart Mill, who identified democracy with the ideal of maximizing the common good (or utility) of society as a whole, under an equal consideration of interests.

Manipulation theorems

Gibbard's theorem provides limitations on the ability of any voting rule to elicit honest preferences from voters, showing that no voting rule is strategyproof (i.e. does not depend on other voters' preferences) for elections with 3 or more outcomes.

The Gibbard–Satterthwaite theorem proves a stronger result for ranked-choice voting systems, showing that no such voting rule can be sincere (i.e. free of reversed preferences).

Median voter theorem

Mechanism design

The field of mechanism design, a subset of social choice theory, deals with the identification of rules that preserve while incentivizing agents to honestly reveal their preferences. One particularly important result is the revelation principle, which is almost a reversal of Gibbard's theorem: for any given social choice function, there exists a mechanism that obtains the same results but incentivizes participants to be completely honest.

Because mechanism design places stronger assumptions on the behavior of voters or , it is sometimes possible to design mechanisms for social choice that accomplish "impossible" tasks. For example, by allowing agents to compensate each other for losses with transfers, the Vickrey–Clarke–Groves (VCG) mechanism can achieve the "impossible" according to Gibbard's theorem: the mechanism ensures honest behavior from participants, while still achieving a Pareto efficient outcome. As a result, the VCG mechanism can be considered a "better" way to make decisions than voting (though only so long as monetary transfers are possible).

Others

If the domain of preferences is restricted to those that include a majority-strength Condorcet winner, then selecting that winner is the unique resolvable, neutral, anonymous, and non-manipulable voting rule.^[5]^{[further explanation needed]}

Interpersonal utility comparison

Social choice theory is the study of theoretical and practical methods to aggregate or combine individual preferences into a collective social welfare function. The field generally assumes that individuals have preferences, and it follows that they can be modeled using utility functions, by the VNM theorem. But much of the research in the field assumes that those utility functions are internal to humans, lack a meaningful unit of measure and cannot be compared across different individuals.^[14] Whether this type of interpersonal utility comparison is possible or not significantly alters the available mathematical structures for social welfare functions and social choice theory.^[14]

In one perspective, following Jeremy Bentham, utilitarians have argued that preferences and utility functions of individuals are interpersonally comparable and may therefore be added together to arrive at a measure of aggregate utility. Utilitarian ethics call for maximizing this aggregate.

In contrast many twentieth century economists, following Lionel Robbins, questioned whether such measures of utility could be measured, or even considered meaningful. Following arguments similar to those espoused by behaviorists in psychology, Robbins argued concepts of utility were unscientific and unfalsifiable. Consider for instance the law of diminishing marginal utility, according to which utility of an added quantity of a good decreases with the amount of the good that is already in possession of the individual. It has been used to defend transfers of wealth from the "rich" to the "poor" on the premise that the former do not derive as much utility as the latter from an extra unit of income. Robbins argued that this notion is beyond positive science; that is, one cannot measure changes in the utility of someone else, nor is it required by positive theory.^[15]

Apologists for the interpersonal comparison of utility have argued that Robbins claimed too much. John Harsanyi agreed that perfect comparisons of mental states are not practically possible, but people can still make some comparisons thanks to their similar backgrounds, cultural experiences, and psychologies. Amartya Sen argues that even if interpersonal comparisons of utility are imperfect, we can still say that (despite being positive for Nero) the Great Fire of Rome had a negative overall value. Harsanyi and Sen thus argue that at least partial comparability of utility is possible, and social choice theory should proceed under that assumption.

Relationship to public choice theory

Despite the similar names, "public choice" and "social choice" are two distinct fields that are only weakly related. Public choice deals with the modeling of political systems as they actually exist in the real world, and is primarily limited to positive economics (predicting how politicians and other stakeholders will act). It is therefore often thought of as the application of microeconomic models to political science, in order to predict the behavior of political actors. By contrast, social choice has a much more normative bent, and deals with the abstract study of decision procedures and their properties.

The Journal of Economic Literature classification codes place Social Choice under Microeconomics at JEL D71 (with Clubs, Committees, and Associations) whereas Public Choice falls under JEL D72 (Economic Models of Political Processes: Rent-Seeking, Elections, Legislatures, and Voting Behavior).^{[citation needed]}

Empirical research

Since Arrow, social choice theory has been characterized by being predominantly mathematical and theoretical, but some research has aimed at estimating the frequency of various voting paradoxes, such as the Condorcet paradox.^[16]^[17] A summary of 37 individual studies, covering a total of 265 real-world elections, large and small, found 25 instances of a Condorcet paradox for a total likelihood of 9.4%.^[17]^: 325 While examples of the paradox seem to occur often in small settings like parliaments, very few examples have been found in larger groups (electorates), although some have been identified.^[18] However, the frequency of such paradoxes depends heavily on the number of options and other factors.

Rules

Let $X$ be a set of possible 'states of the world' or 'alternatives'. Society wishes to choose a single state from $X$ . For example, in a single-winner election, $X$ may represent the set of candidates; in a resource allocation setting, $X$ may represent all possible allocations.

Let $I$ be a finite set, representing a collection of individuals. For each $i\in I$ , let $u_{i}:X\longrightarrow \mathbb {R}$ be a utility function, describing the amount of happiness an individual i derives from each possible state.

A social choice rule is a mechanism which uses the data $(u_{i})_{i\in I}$ to select some element(s) from $X$ which are 'best' for society. The question of what 'best' means is a common question in social choice theory. The following rules are most common:

Utilitarian rule – sometimes called the max-sum rule or Benthamite welfare – aims to maximize the sum of utilities.
Egalitarian rule – sometimes called the max-min rule or Rawlsian welfare – aims to maximize the smallest utility.

Social choice functions

A social choice function, sometimes called a voting system in the context of politics, is a rule that takes an individual's complete and transitive preferences over a set of outcomes and returns a single chosen outcome (or a set of tied outcomes). We can think of this subset as the winners of an election, and compare different social choice functions based on which axioms or mathematical properties they fulfill.^[5]

Arrow's impossibility theorem is what often comes to mind when one thinks about impossibility theorems in voting. There are several famous theorems concerning social choice functions. The Gibbard–Satterthwaite theorem implies that the only rule satisfying non-imposition (every alternative can be chosen) and strategyproofness when there are more than two candidates is the dictatorship mechanism. That is, a voter may be able to cast a ballot that misrepresents their preferences to obtain a result that is more favorable to them under their sincere preferences. May's theorem shows that when there are only two candidates and only rankings of options are available, the simple majority vote is the unique neutral, anonymous, and positively-responsive voting rule.^[19]

Notes

^ Suzumura, Kotaro (1983). Rational Choice, Collective Decisions, and Social Welfare. Cambridge University Press. ISBN 978-0-521-12255-9.
^ For example, in Kenneth J. Arrow (1951). Social Choice and Individual Values, New York: Wiley, ch. II, section 2, A Notation for Preferences and Choice, and ch. III, "The Social Welfare Function".
^ Fishburn, Peter C. (1974). "Social Choice Functions". SIAM Review. 16: 63–90. doi:10.1137/1016005.
^ ^a ^b ^c Amartya Sen (2008). "Social Choice". The New Palgrave Dictionary of Economics, 2nd Edition, Abstract & TOC.
^ ^a ^b ^c ^d Zwicker, William S.; Moulin, Herve (2016), Brandt, Felix; Conitzer, Vincent; Endriss, Ulle; Lang, Jerome (eds.), "Introduction to the Theory of Voting", Handbook of Computational Social Choice, Cambridge: Cambridge University Press, pp. 23–56, doi:10.1017/cbo9781107446984.003, ISBN 978-1-107-44698-4, retrieved 2021-12-24
^ Nurmi, Hannu (2010), Rios Insua, David; French, Simon (eds.), "Voting Theory", e-Democracy: A Group Decision and Negotiation Perspective, Advances in Group Decision and Negotiation, vol. 5, Dordrecht: Springer Netherlands, pp. 101–123, doi:10.1007/978-90-481-9045-4_7, ISBN 978-90-481-9045-4, retrieved 2024-06-20
^ Coughlin, Peter J. (1992-10-30). Probabilistic Voting Theory. Cambridge University Press. ISBN 978-0-521-36052-4.
^ Colomer, Josep M. (2013-02-01). "Ramon Llull: from 'Ars electionis' to social choice theory". Social Choice and Welfare. 40 (2): 317–328. doi:10.1007/s00355-011-0598-2. ISSN 1432-217X.
^ Walter Bossert and John A. Weymark (2008). "Social Choice (New Developments)," The New Palgrave Dictionary of Economics, 2nd Edition, Abstract & TOC.
^ Kaushik, Basu; Lòpez-Calva, Luis F. (2011). Functionings and Capabilities. Handbook of Social Choice and Welfare. Vol. 2. pp. 153–187. doi:10.1016/S0169-7218(10)00016-X. ISBN 9780444508942.
^ d'Aspremont, Claude; Gevers, Louis (2002). Chapter 10 Social welfare functionals and interpersonal comparability. Handbook of Social Choice and Welfare. Vol. 1. pp. 459–541. doi:10.1016/S1574-0110(02)80014-5. ISBN 9780444829146.
^ Amartya Sen ([1987] 2008). "Justice," The New Palgrave Dictionary of Economics, 2nd Edition. Abstract & TOC.
Bertil Tungodden (2008). "Justice (New Perspectives)," The New Palgrave Dictionary of Economics, 2nd Edition. Abstract.
Louis Kaplow (2008). "Pareto Principle and Competing Principles," The New Palgrave Dictionary of Economics, 2nd Edition. Abstract.
Amartya K. Sen (1979 [1984]). Collective Choice and Social Welfare, New York: Elsevier, (description):
ch. 9, "Equity and Justice," pp. 131-51.
ch. 9*, "Impersonality and Collective Quasi-Orderings," pp. 152-160.
Kenneth J. Arrow (1983). Collected Papers, v. 1, Social Choice and Justice, Cambridge, MA: Belknap Press, Description, contents, and chapter-preview links.
Charles Blackorby, Walter Bossert, and David Donaldson, 2002. "Utilitarianism and the Theory of Justice", in Handbook of Social Choice and Welfare, edited by Kenneth J. Arrow, Amartya K. Sen, and Kotaro Suzumura, v. 1, ch. 11, pp. 543–596. Abstract.
^ Dutta, Bhaskar (2002). Chapter 12 Inequality, poverty and welfare. Handbook of Social Choice and Welfare. Vol. 1. pp. 597–633. doi:10.1016/S1574-0110(02)80016-9. ISBN 9780444829146.
^ ^a ^b Lionel Robbins (1932, 1935, 2nd ed.). An Essay on the Nature and Significance of Economic Science, London: Macmillan. Links for 1932 HTML and 1935 facsimile.
^ Lionel Robbins (1932, 1935, 2nd ed.). An Essay on the Nature and Significance of Economic Science, London: Macmillan. Links for 1932 HTML and 1935 facsimile.
^ Kurrild-Klitgaard, Peter (2014). "Empirical social choice: An introduction". Public Choice. 158 (3–4): 297–310. doi:10.1007/s11127-014-0164-4. ISSN 0048-5829. S2CID 148982833.
^ ^a ^b Van Deemen, Adrian (2014). "On the empirical relevance of Condorcet's paradox". Public Choice. 158 (3–4): 311–330. doi:10.1007/s11127-013-0133-3. ISSN 0048-5829. S2CID 154862595.
^ Kurrild-Klitgaard, Peter (2014). "An empirical example of the Condorcet paradox of voting in a large electorate". Public Choice. 107 (1/2): 135–145. doi:10.1023/A:1010304729545. ISSN 0048-5829. S2CID 152300013.
^ May, Kenneth O. (October 1952). "A Set of Independent Necessary and Sufficient Conditions for Simple Majority Decision". Econometrica. 20 (4): 680–684. doi:10.2307/1907651. JSTOR 1907651.

References

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Shoham, Yoav; Leyton-Brown, Kevin (2009). Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. New York: Cambridge University Press. ISBN 978-0-521-89943-7.. A comprehensive reference from a computational perspective; see Chapter 9. Downloadable free online.
Suzumura, Kotaro (1983). Rational Choice, Collective Decisions, and Social Welfare, Cambridge: Cambridge University Press ISBN 0-521-23862-5
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