22
need only to show that this system of equations for d has no nonzero solutions.
So suppose to the contrary that this system of equations has some nonzero solution for d.
Then it must have at least one nonzero solution such that all d(x) numbers are rational, because
all coefficients are rational in these linear equations. Furthermore, multiplying through by the
lowest common denominator, this system of equations must have at least one solution such that
all d(x) are integers, and (dividing by 2 as necessary) we can guarantee that at least one integer
d(y) must be odd. Then for this alternative y, we get
0 = d(y) +
3
d(x) +
3
d(z) = d(y) + 2(
3
d(x)).
x<
z>>y
x<
But d(y) + 2(
3
d(x)) is an odd integer, and 0 is even. This contradiction proves that there
x<
cannot be any nonzero solutions for d. Thus p = q, and so the equilibrium is unique.
The components of p must be rational numbers, because p is the unique equilibrium
strategy for a two-person zero-sum game that has payoffs in the rational numbers. Now let p*
denote the smallest positive multiple of p that has all integer components. This vector p*
satisfies
3
p*(x) =
3
p*(x),
x<
x>>y
for every pure strategy y that is a best response to the equilibrium strategy p (which includes all y
in its support B), because all best responses give expected payoff zero. At least one p*(z) must
be odd (or else we could divide them all by 2). So the sum of the components
3
p*(x) = p*(z)+
3
p*(x) +
3
p*(x)
x0B
x<
x>>z
= p*(z) + 2(
3
p*(x))
x<
is an odd integer. For every y that is a best response to the equilibrium strategy p, we have
p*(y) + 2(
3
p*(x)) =
3
p*(x),
x<
x0B
and so p*(y) is also an odd integer. But 0 is not odd. Thus, if y is any best response to the
equilibrium strategy p then
p(y) = p*(y)/
(
(
3
p*(x)
)
=/ 0.
Q.E.D.
x0B
The set of alternatives that may be chosen with positive probability by the party leaders in
the equilibrium of this policy-positioning game is called the bipartisan set of the tournament
(Y,>>). The bipartisan set is a subset of the uncovered set, because the covered alternatives are
the dominated strategies in this policy-positioning game, and so the bipartisan set is always
23
contained in the top cycle. Laffond, Laslier, and Le Breton (1993) have shown, however, that the
bipartisan set may contain alternatives that are not in the Banks set, and the Banks set may
contain alternatives that are not in the bipartisan set.
1.7 Median voter theorems
We have seen that, if a Condorcet winner exists, then we can expect it as the outcome of
rational voting in any binary agenda, or as the unique policy position that would be chosen by
party leaders in two-party competition. But when a Condorcet winner does not exist, then
agenda manipulation with randomized alternatives can achieve virtually any outcome, and the
outcome of two-party policy positioning must have some unpredictability. So we should be
interested in economic conditions that imply the existence of a Condorcet winner in Y. The most
natural such condition is expressed by the median voter theorems.
There are two basic versions of the median voter theorem. One version (from Black,
1958) assumes single-peaked preferences, and another version (from Gans and Smart, 1994,
Rothstein, 1990, 1991, and Roberts, 1977) assumes a single-crossing property.
To develop the single-crossing property, we begin by assuming that the policy
alternatives in Y are ordered completely and transitively, say from "left" to "right" in some sense.
We may write "x < y" to mean that the alternative x is to the left of alternative y in the space of
policy alternatives. We also assume that the voters (or their political preferences) are transitively
ordered in some political spectrum, say from "leftist" to "rightist," and we may write "i < j" to
mean that voter i is to the left of voter j in this political spectrum.
The meaning of this ordering of voters is only that leftist voters tend to favor left policies
more than voters who are rightist in political preference. Formally, we assume that, for any two
voters i and j such that i < j, and for any two policy alternatives x and y such that x < y,
if u (x) < u (y) then u (x) < u (y),
i
i
j
j
but if u (x) > u (y) then u (x) > u (y).
j
j
i
i
This assumption is called the single-crossing property.
Let us assume that the number of voters is odd and their ordering is complete and
transitive. Then there is some median voter h, such that #{i
0N* i < h} = #{j0N* h < j}. For any
24
pair of alternatives x and y such that x < y, if the median voter prefers x then all voters to the left
of the median agree with him, but if the median voter prefers y then all voters to the right of the
median agree with him. Either way, there is a majority of voters who agree with the median
voter. So the majority preference relation (>>) is the same as the preference of the median voter.
Thus, the alternative that is most preferred by the median voter must be a Condorcet winner.
That is, we have proven the following theorem.
Theorem 1.5. Suppose that there is an odd number of voters. If the alternatives in Y have
a complete transitive ordering and the voters in N have a complete transitive ordering which
together satisfy the single-crossing property, then the ideal point of the median voter is a
Condorcet winner in Y.
In the single-peakedness version of the median-voter theorem, a complete transitive
ordering (<) is assumed on the set of alternatives Y only. For each voter i, it is assumed that
there is some ideal point
2 in Y such that, for every x and y in Y,
i
if
2
#
x < y or y < x
#
2 then u (x) > u (y).
i
i
i
i
That is, on either side of
2 , voter i always prefers alternatives that are closer to 2 . This property
i
i
is called the single-peakedness assumption. Assuming that the number of voters is odd, the
median voter's ideal point is the alternative
2* such that
#N/2
$
#{i
* 2
<
2*} and #N/2
$
{i
* 2*
<
2 }.
i
i
The voters who have ideal points at
2* and to its left form a majority that prefers 2* over any
alternative to the right of
2*, while the voters who have ideal points at 2* and to its right form a
majority that prefers
2* over any alternative to the left of 2*. Thus, this median voter's ideal
point
2* is a Condorcet winner in Y.
Single-crossing and single-peakedness are different assumptions, and neither is logically
implied by the other. Both assumptions give us a result that says "the median voter's ideal point
is a Condorcet winner," but there is a subtle difference in the meaning of these results. With the
single-crossing property we are speaking about the ideal point of the median voter, but with the
single-peakedness property we are speaking about the median of the voters' ideal points. Notice
also that the majority preference relation can be guaranteed to be a full transitive ordering under
25
the single-crossing assumption, but not under the single-peakedness assumption.
In both versions of the median voter theorem, the set of policy alternatives must be
essentially one-dimensional, because otherwise we cannot put the alternatives in a transitive
order. In general applications that do not have this simple one-dimensional structure, we do not
generally expect to find a Condorcet winner.
1.8 Conclusions
We have considered binary agendas and two-party competition, because they are
procedures for reducing general social choice problems with many alternatives into a simple
framework of majority voting on pairs of alternatives. This reduction requires some decision-
making by political leaders: the chairman who sets the agenda, or the leaders who formulate
policy for the two major parties. So it is natural ask, to what extent do the outcomes of binary
agendas or two-party competition depend on the decision-making by such political leaders, rather
than on the preferences of the voters. The answer, we have seen, is that manipulations of an
agenda-setter or arbitrary and unpredictable positioning decisions of political leaders can
substantially affect the outcome of majority voting, except in the special case where a Condorcet
winner happens to exist.
To find ways of avoiding such dependence on an agenda setter or a couple of party
leaders, we must go on to study more general voting systems that allow voters to consider more
than two alternatives at once. K. May's theorem (1952) assured us that majority rule is the
unique obvious way to implement the principles of democracy (anonymity, neutrality) in social
decision-making when only two alternatives are considered at a time. In contrast, there is a wide
variety of anonymous neutral voting systems that have been proposed for choosing among more
than two alternatives (plurality voting, Borda voting, approval voting, single transferable vote,
etc.), and all of these deserve to be called democratic. Furthermore, the impossibility theorems
of social choice theory tell us that no such voting system can guarantee a unique pure-strategy
equilibrum for all profiles of voters' preferences. Multiplicity of equilibria means that the social
outcome can depend on any factor that focuses public attention on one equilibrium. These focal
factors may include history, cultural tradition, and public speeches of political leaders. (See
26
Schelling, 1960, and Myerson and Weber, 1993.)
Our initial fable suggested that political institutions may arise out of a need to coordinate
on better equilibria in social and economic arenas, and we have found that some of this
multiplicity of equilibria may inevitably remain in any democratic political system. But having
multiple equilibrium outcomes for some preference profiles does not imply that everything must
be an equilibrium outcome for all preference profiles. Game-theoretic analysis of political
institutions can show substantial differences in the equilibrium outcomes under different political
institutions. If social choice theory has not given us one perfect voting system, then it has left us
the important task of characterizing the properties and performance of the many voting systems
that we do have.
REFERENCES
K. J. Arrow, Social Choice and Individual Values, Wiley (1951).
D. Black, Theory of Committees and Elections, Cambridge (1958).
J. Banks, "Sophisticated voting outcomes and agenda control," Social Choice and Welfare 1
(1985), 295-306.
R. Farquharson, Theory of Voting, Yale, 1969.
P. C. Fishburn, The Theory of Social Choice, Princeton, 1973.
D. C. Fisher and J. Ryan, "Optimal strategies for a generalized 'scissors, paper, and stone' game,"
American Mathematical Monthly 99 (1992), 935-942.
J. S. Gans and M. Smart, "Majority voting with Single-Crossing Preferences," Journal of Public
Economics 59 (1996), 219-237.
A. Gibbard, "Manipulation of voting rules: a general result," Econometrica 41 (1973), 587-601.
A. Gibbard, "Straightforwardness of game forms with lotteries as outcomes," Econometrica 46
(1978), 595-614.
R. Hardin, "Why a Constitution," in The Federalist Papers and the New Institutionalism, Bernard
Grofman and Donald Wittman, eds., NY: Agathon Press (1989).
G. Laffond, J.F. Laslier, and M. Le Breton, "The bipartisan set of a tournament game," Games
and Economic Behavior 5 (1993), 182-201.
27
E. Maskin, "The theory of implementation in Nash equilibrium: a survey," in L. Hurwicz,
D. Schmeidler, and H. Sonnenschein eds., Social Goals and Social Organization,
Cambridge U. Press (1985), pages 173-204.
K. O. May, "A set of independent necessary and sufficient conditions for simple majority
decision," Econometrica 20 (1952), 680-684.
R. M. May, "Some mathematical remarks on the paradox of voting," Behavioral Science 16
(1971), 143-151.
D. C. McGarvey, "A theorem in the construction of voting paradoxes," Econometrica 21 (1953),
608-610.
R. McKelvey, "Intransitivities in multidimensional voting models and some implications for
agenda control," Journal of Economic Theory 12 (1976), 472-482.
R. D. McKelvey, "General conditions for global intransitivities in formal voting models,"
Econometrica 47 (1979), 1085-1112.
R. McKelvey, "Covering, dominance, and institution-free properties of social choice," American
Journal of Political Science 30 (1986), 283-314.
N. Miller, "Graph theoretical approaches to the theory of voting," American Journal of Political
Science 21 (1977), 769-803.
N. Miller, "A new solution set for tournaments and majority voting," American Journal of
Political Science 24 (1980), 68-96. (Erratum 1983).
J. Moore and R. Repullo, "Subgame perfect implementation," Econometrica 56 (1988), 1191-
1220.
H. Moulin, "Choosing from a tournament," Social Choice and Welfare 3 (1986), 271-291.
H. Moulin, Axioms of Cooperative Decision Making, Cambridge (1988).
E. Muller and M. Satterthwaite, "The equivalence of strong positive association and
strategy-proofness," Journal of Economic Theory 14 (1977), 412-418.
R. B. Myerson and R. J. Weber, "A theory of voting equilibria," American Political Science
Review 87 (1993), 102-114.
J. F. Nash, "Noncooperative Games," Annals of Mathematics 54 (1951), 289-295.
J. von Neumann, "Zur Theories der Gesellschaftsspiele." Mathematische Annalen 100 (1928),
28
295-320. English translation by S. Bergmann in R. D. Luce and A. W. Tucker, eds.,
Contributions to the Theory of Games IV (1959), pp. 13-42, Princeton University Press.
W. H. Riker, Liberalism against Populism, San Francisco, Freeman (1982).
K. W. S. Roberts, "Voting over income tax schedules," Journal of Public Economics 8 (1977),
329-340.
P. Rothstein, "Order-restricted preferences and majority rule" Social Choice and Welfare 7
(1990), 331-342
P. Rothstein,"Representative voter theorems" Public Choice 72 (1991), 193-212.
M. A. Satterthwaite, "Strategy-proofness and Arrow's conditions," Journal of Economic Theory
10 (1975), 198-217.
Amartya K. Sen, Collective Choice and Social Welfare, Holden-Day, (1970).
T. C. Schelling, Strategy of Conflict, Harvard University Press (1960).
K. Shepsle and B. Weingast, "Uncovered sets and sophisticated voting outcomes, with
implications for agenda institutions," American Journal of Political Science 28 (1984),
49-74.
B. Sloth, “The theory of voting and equilibria in noncooperative games,” Games and Economic
Behavior 5 (1993), 152-169.
Author's address: Economics Dept., University of Chicago, 1126 East 59th Street, Chicago, IL 60637.
Phone: 1-773-834-9071. Fax: 1-773-702-8490.
Email: myerson@uchicago.edu. URL: http://home.uchicago.edu/~rmyerson/
The original version of this paper was distributed (Sept 1996) as Discussion Paper #1162 of
the Center for Mathematical Studies in Economics and Management Science, Northwestern University.
The current version is at http://home.uchicago.edu/~rmyerson/research/schch1.pdf
Date of this version: 1/5/2011.
Dostları ilə paylaş: |