single-crossing condition

Image:Single Crossing Condition example.pngs F(x) and G(x) which satisfy the single-crossing condition.|Example of two cumulative distribution functions F(x) and G(x) which satisfy the single-crossing condition.]]In monotone comparative statics, the single-crossing condition or single-crossing property refers to a condition where the relationship between two or more functionsThe property need not only relate to continuous functions but can also similarly describe ordered sets or lattices. is such that they will only cross once.{{Cite journal |last=Athey |first=S. |date=2002-02-01 |title=Monotone Comparative Statics under Uncertainty |url=https://academic.oup.com/qje/article-lookup/doi/10.1162/003355302753399481 |journal=The Quarterly Journal of Economics |language=en |volume=117 |issue=1 |pages=187–223 |doi=10.1162/003355302753399481 |s2cid=14098229 |issn=0033-5533}} For example, a mean-preserving spread will result in an altered probability distribution whose cumulative distribution function will intersect with the original's only once.

The single-crossing condition was posited in Samuel Karlin's 1968 monograph 'Total Positivity'.{{cite book |last=Karlin |first=Samuel |title=Total positivity |publisher=Stanford University Press |year=1968 |volume=1 |oclc=751230710}} It was later used by Peter Diamond, Joseph Stiglitz,{{cite journal |author=Diamond |first=Peter A. |last2=Stiglitz |first2=Joseph E. |year=1974 |title=Increases in risk and in risk aversion |journal=Journal of Economic Theory |publisher=Elsevier |volume=8 |issue=3 |pages=337–360 |doi=10.1016/0022-0531(74)90090-8|hdl=1721.1/63799 |hdl-access=free }} and Susan Athey,{{Cite journal |last=Athey |first=Susan |date=July 2001 |title=Single Crossing Properties and the Existence of Pure Strategy Equilibria in Games of Incomplete Information |url=http://doi.wiley.com/10.1111/1468-0262.00223 |journal=Econometrica |language=en |volume=69 |issue=4 |pages=861–889 |doi=10.1111/1468-0262.00223 |issn=0012-9682|hdl=1721.1/64195 |hdl-access=free }} in studying the economics of uncertainty.{{Cite book |last=Gollier |first=Christian |url=https://archive.org/details/economicsrisktim00goll |title=The Economics of Risk and Time |publisher=The MIT Press |year=2001 |isbn=9780262072151 |page=[https://archive.org/details/economicsrisktim00goll/page/n156 103] |url-access=limited}}

The single-crossing condition is also used in applications where there are a few agents or types of agents that have preferences over an ordered set. Such situations appear often in information economics, contract theory, social choice and political economics, among other fields.

Example using cumulative distribution functions

Cumulative distribution functions F and G satisfy the single-crossing condition if there exists a y^* such that

\forall x, x \ge y^* \implies F(x) \ge G(x)

and

\forall x, x \le y^* \implies F(x) \le G(x);

that is, function h(x) = F(x)-G(x) crosses the x-axis at most once, in which case it does so from below.

This property can be extended to two or more variables.{{Cite journal |last=Rösler |first=Uwe |date=September 1992 |title=A fixed point theorem for distributions |journal=Stochastic Processes and Their Applications |language=en |volume=42 |issue=2 |pages=195–214 |doi=10.1016/0304-4149(92)90035-O|doi-access=free }} Given x and t, for all x'>x, t'>t,

F(x',t) \ge F(x,t) \implies F(x',t') \ge F(x,t')

and

F(x',t) > F(x,t) \implies F(x',t') > F(x,t').

This condition could be interpreted as saying that for x'>x, the function g(t)=F(x',t)-F(x,t) crosses the horizontal axis at most once, and from below. The condition is not symmetric in the variables (i.e., we cannot switch x and t in the definition; the necessary inequality in the first argument is weak, while the inequality in the second argument is strict).

Use in social choice and mechanism design

= Social choice =

In social choice theory, the single-crossing condition is a condition on preferences. It is especially useful because utility functions are generally increasing (i.e. the assumption that an agent will prefer or at least consider equivalent two dollars to one dollar is unobjectionable).{{Cite journal |last=Jewitt |first=Ian |date=January 1987 |title=Risk Aversion and the Choice Between Risky Prospects: The Preservation of Comparative Statics Results |url=https://academic.oup.com/restud/article-lookup/doi/10.2307/2297447 |journal=The Review of Economic Studies |volume=54 |issue=1 |pages=73–85 |doi=10.2307/2297447|jstor=2297447 }}

Specifically, a set of agents with some unidimensional characteristic \alpha^i and preferences over different policies q satisfy the single crossing property when the following is true:

If q > q' and \alpha^{i'} > \alpha^i or if q < q' and \alpha^{i'} < \alpha^i , then

W(q;\alpha^i)\ge W(q';\alpha^i) \implies W(q;\alpha^{i'})\ge W(q';\alpha^{i'})

where W is the indirect utility function.

An important result extends the median voter theorem, which states that when voters have single peaked preferences, there is a majority-preferred candidate corresponding to the median voter's most preferred policy.{{Cite journal |last1=Bredereck |first1=Robert |last2=Chen |first2=Jiehua |last3=Woeginger |first3=Gerhard J. |date=October 2013 |title=A characterization of the single-crossing domain |url=http://link.springer.com/10.1007/s00355-012-0717-8 |journal=Social Choice and Welfare |language=en |volume=41 |issue=4 |pages=989–998 |doi=10.1007/s00355-012-0717-8 |s2cid=253845257 |issn=0176-1714}} With single-crossing preferences, the most preferred policy of the voter with the median value of \alpha^i is the Condorcet winner.{{cite book |last1=Persson |first1=Torsten |title=Political Economics: Explaining Economic Policy |last2=Tabellini |first2=Guido |publisher=MIT Press |year=2000 |isbn=9780262303668 |page=23}} In effect, this replaces the unidimensionality of policies with the unidimensionality of voter heterogeneity.{{Technical inline|date=November 2024}}{{cite journal |last1=Gans |first1=Joshua S. |last2=Smart |first2=Michael |date=February 1996 |title=Majority voting with single-crossing preferences |journal=Journal of Public Economics |volume=59 |issue=2 |pages=219–237 |doi=10.1016/0047-2727(95)01503-5|doi-access=free }} In this context, the single-crossing condition is sometimes referred to as the Gans-Smart condition.{{Cite journal |last1=Haavio |first1=Markus |last2=Kotakorpi |first2=Kaisa |date=May 2011 |title=The political economy of sin taxes |url=https://linkinghub.elsevier.com/retrieve/pii/S0014292110000607 |journal=European Economic Review |language=en |volume=55 |issue=4 |pages=575–594 |doi=10.1016/j.euroecorev.2010.06.002|hdl=10138/16733 |s2cid=2604940 |hdl-access=free }}

= Mechanism design =

In mechanism design, the single-crossing condition (often referred to as the Spence-Mirrlees property for Michael Spence and James Mirrlees, sometimes as the constant-sign assumption{{Cite book |last1=Laffont |first1=Jean-Jacques|last2=Martimort|first2=David|url=https://www.worldcat.org/oclc/47990008 |title=The theory of incentives : the principal-agent model |date=2002 |publisher=Princeton University Press |isbn=0-691-09183-8 |location=Princeton, N.J. |pages=53 |oclc=47990008}}) refers to the requirement that the isoutility curves for agents of different types cross only once.{{Cite book |last1=Laffont |first1=Jean-Jacques|last2=Martimort|first2=David|url=https://www.worldcat.org/oclc/47990008 |title=The theory of incentives : the principal-agent model |date=2002 |publisher=Princeton University Press |isbn=0-691-09183-8 |location=Princeton, N.J. |pages=35 |oclc=47990008}} This condition guarantees that the transfer in an incentive-compatible direct mechanism can be pinned down by the transfer of the lowest type. This condition is similar to another condition called strict increasing difference (SID).{{Cite journal |last=Frankel |first=Alexander |date=2014-01-01 |title=Aligned Delegation |url=https://pubs.aeaweb.org/doi/10.1257/aer.104.1.66 |journal=American Economic Review |language=en |volume=104 |issue=1 |pages=66–83 |doi=10.1257/aer.104.1.66 |issn=0002-8282}} Formally, suppose the agent has a utility function V(q,\theta), the SID says \forall q_2>q_1,\theta_2>\theta_1 we have V(q_2,\theta_2)-V(q_1,\theta_2)>V(q_2,\theta_1)-V(q_1,\theta_1). The Spence-Mirrlees Property is characterized by \frac{\partial^2V}{\partial\theta\partial q}(q,\theta)>0.

See also

Notes

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References