Incompatibility of Pareto Eciency, Strategy-proofness and Mutual Best ∗

Umut Mert Dur

North Carolina State University July 9, 2015

Abstract While adopting a mechanism, a school board aims to have a reasonable balance between strategy-proofness, Pareto eciency, and fairness. In the school choice environment, Pareto eciency and fairness are incompatible, i.e., there does not exist a Pareto ecient and fair mechanism. Although there exists a Pareto ecient and strategy-proof mechanism (e.g. Top Trading Cycles mechanism), we show that any Pareto ecient and strategy-proof mechanism fails to satisfy a minimal fairness requirement: there does not exist a Pareto ecient, strategy-proof and mutual best. JEL Classication: C78, I28 Key Words: Matching Theory, Market Design, School Choice Problem, Top Trading Cycles

1

Introduction

School choice problem is introduced by Abdulkadiro§lu and Sönmez [2003]. In their seminal paper, two competing mechanisms, namely Deferred Acceptance (DA) mechanism [Gale and Shapley, 1962] and Top Trading Cycles (TTC) mechanism, have been suggested to the policy makers to replace Boston mechanism (BM) which is not immune to preference manipulation. The DA mechanism is strategy-proof1 , individually rational, non-wasteful, fair2 and it Pareto dominates any other fair mechanism [Gale and Shapley, ∗

Address: 2801 Founders Drive 4102 Nelson Hall, Raleigh, NC, 27695; e-mail: [email protected]; web

page: https://sites.google.com/site/umutdur/ 1 A mechanism is strategy-proof if it is a (weakly) dominant strategy for each student to state preferences truthfully. 2 A mechanism is fair if under its allocation there does not exist a student who prefers another school to his assignment and that school admitted a student with lower priority.

1

1962, Dubins and Freedman, 1981, Roth, 1982, Balinski and Sönmez, 1999]. Moreover, it is the unique strategy-proof mechanism which is also individually rational, non-wasteful and fair [Alcalde and Barbera, 1994]. However, it is not Pareto ecient. On the other hand, the TTC mechanism, which is based on Gale's top trading cycles idea [Shapley and Scarf, 1974], is Pareto ecient, strategy-proof, individually rational and non-wasteful. However, it is not fair. In particular, there does not exist a Pareto ecient and fair mechanism in school choice problem [Roth, 1982, Balinski and Sönmez, 1999]. Given the incompatibility between Pareto eciency and fairness, and the importance of strategy-proofness in the school choice problem, one may wonder to what extent priorities will be respected by strategy-proof and Pareto ecient mechanisms. In this paper, we use a very weak fairness notion called mutual best [Morrill, 2013]. In particular, we say a mechanism is mutual best if a student is always assigned to her top choice whenever she has the highest priority for her top choice among the students nding her top choice acceptable. We show that any strategy-proof and Pareto ecient mechanism does not satisfy mutual best. Our impossibility result implies that any mechanism belonging to the class of trading cycles mechanisms [Pycia and Ünver, 2011a], and therefore hierarchical mechanisms [Pápai, 2000], is not mutual best.

2

Model

A school choice problem is a 5-tuple (I, S, q, P, ) where

• I = {i1 , i2 , ..., in } is the nite set of students, • S = {s1 , s2 , ..., sm } is the nite set of schools, • q = (qs )s∈S is the quota vector where qs is the number of available seats in school s, • P = (Pi )i∈I is the preference prole where Pi is the strict preference of student i over the schools and being unassigned option denoted by ∅,

• = (s )s∈S is the priority prole where s is the strict priority relation of school s over I .

2

Let q∅ = ∞. In the rest of the paper we x I ,S , q , and , and represent a problem with

P . Let Ri be the at-least-as-good-as relation associated with Pi for all i ∈ I . A

matching µ : I → S is a function such that µ(i) ∈ S ∪ {∅}, |µ(i)| ≤ 1 and

|µ−1 (s)|

≤ qs for all i ∈ I and s ∈ S . We denote the set of matchings with M. A

mechanism Φ is a procedure which selects a matching for each problem. The matching selected by mechanism Φ in problem P is denoted by Φ(P ) and the assignment of each student i ∈ I is denoted by Φi (P ).

Pareto dominates another matching ν if µ(i)R ν(i) for each student i ∈ I and µ(j)P ν(j) for at least one student j ∈ I . A matching µ is Pareto ecient A matching µ

i

j

if there does not exist another matching ν ∈ M which Pareto dominates µ. A matching µ is

fair if there does not exist a student school pair (i, s) where s P

i

and i s j for some j ∈ A mechanism Φ is a preference relation

strategy-proof

P0

µi

µ−1 (s).

such that

if there does not exist a student i ∈ I and

Φi (P 0 , P−i )

Pi Φi (Pi ). A mechanism Φ is

Pareto

ecient (fair) if for any problem P its outcome Φ(P ) is Pareto ecient (fair). 3

Results In a problem P , let As (P ) be the set of students ranking s above ∅: As (P ) = {i ∈

I|sPi ∅}. Let iTs be the student who has the highest priority in school s among the students in As (P ). A matching µ is

mutual best if for any school s, whenever i

T s

top of her preference list, i.e., sPiTs x for all x ∈ S ∪ {∅}, then is

µ(iTs )

ranks s at the

= s. A mechanism Φ

mutual best if Φ(P ) is mutual best for all P . In words, a mechanism satises mutual

best if a student is always assigned to her most preferred school whenever she has the highest priority for it among the students considering it acceptable. It is easy to see that any fair mechanism is mutual best, i.e., DA mechanism is mutual best. Hence, there exists a strategy-proof and mutual best mechanism. Moreover, BM, which is not a fair mechanism, is mutual best. Since BM is Pareto ecient, the existence of Pareto ecient and mutual best mechanism is guaranteed. However, any Pareto ecient and strategy-proof mechanism fails to satisfy mutual best.

Theorem 1 There does not exist a mechanism that is Pareto ecient, strategy-proof

and mutual best.

Proof. Suppose Φ is a Pareto-ecient, strategy-proof and mutual best mechanism.

Consider a problem where S = {s1 , s2 , s3 }, I = {i1 , i2 , i3 , i4 }. Each school has unit capacity. Preferences and priorities are given by 3

Pi1

P i2

P i3

P i4

s1

s2

s3

s2

s1

s3

s1

i1

i2

i4



s2

s1

s3

i3

i3

i1







i2

i1

i2

i4 i4 i3 Denote this problem with P . Since i2 has the highest priority at s2 among the students considering it acceptable, any mutual best and strategy-proof mechanism assigns

i2 a school at least as good as s2 . Otherwise, due to mutual best i2 can get s2 by reporting it at the top of his preference list and this violates strategy-proofness. Similarly, any mutual best and strategy-proof mechanism assigns i3 and i4 a school at least as good as

s1 and s3 , respectively. If i2 is assigned to s1 by Φ, either i3 or i4 will be unassigned. This violates mutual best. Hence i2 needs to be assigned to be assigned to s2 and Φ selects the following matching: Φi1 (P ) = ∅, Φi2 (P ) = s2 , Φi3 (P ) = s3 and Φi4 (P ) = s1 . Now consider the preference prole P˜i1 : s2 P˜i1 s1 P˜i1 ∅. Let P˜ = (P˜i1 , Pi2 , Pi3 , Pi4 ). In problem P˜ , since i1 has the highest priority at s1 among the students considering it acceptable, any mutual best and strategy-proof mechanism assigns i1 a school at least as good as s1 . Similarly, any mutual best and strategy-proof mechanism assigns i2 and i4 a school at least as good as s2 and s3 , respectively. If i4 is assigned to s1 by Φ in problem P˜ , either i1 or i4 will be unassigned. This violates mutual best. Hence i4 needs to be assigned to be assigned to s3 and Φ selects the following matching:Hence, Φi (P˜ ) = s2 , 1

Φi2 (P˜ ) = s1 , Φi3 (P˜ ) = ∅ and Φi4 (P˜ ) = s3 . Since Φi1 (P˜ )Pi Φi1 (P ), Φ is manipulated by i1 and it cannot be strategy-proof.

References Atila Abdulkadiro§lu and Tayfun Sönmez. School choice: A mechanism design approach.

American Economic Review, 93:729747, 2003.

Jose Alcalde and Salvador Barbera. Top dominance and the possibility of strategy-proof stable solutions to matching problems.

Economic Theory, 4:417435, 1994.

Michel Balinski and Tayfun Sönmez. A tale of two mechanisms: Student placement.

Journal of Economic Theory, 84:7394, 1999.

L. E. Dubins and D. A. Freedman. Machiavelli and the gale-shapley algorithm.

Mathematical Monthly, 88:485494, 1981.

4

American

David Gale and Lloyd S. Shapley. College admissions and the stability of marriage.

American Mathematical Monthly, 69:915, 1962.

Thayer Morrill. An alternative characterization of the deferred acceptance algorithm.

International Journal of Game Theory, 42:1928, 2013.

Szilvia Pápai. Strategyproof assignment by hierarchical exchange. 14031433, 2000.

Econometrica, 68:

Marek Pycia and M. Utku Ünver. Incentive compatible allocation and exchange of discrete resources. UCLA and Boston College, unpublished mimeo, 2011a. Alvin E. Roth. The economics of matching: Stability and incentives.

Operations Research, 7:617628, 1982.

Lloyd Shapley and Herbert Scarf. On cores and indivisibility.

Economics, 1:2337, 1974.

5

Mathematics of

Journal of Mathematical

Incompatibility of Pareto E ciency, Strategy-proofness ...

Incompatibility of Pareto E ciency, Strategy-proofness and Mutual Best. Umut Mert Dur∗. North Carolina State University. July 9, 2015. Abstract. While adopting a mechanism, a school board aims to have a reasonable balance between strategy-proofness, Pareto efficiency, and fairness. In the school choice environment ...

184KB Sizes 0 Downloads 131 Views

Recommend Documents

Monotone Strategyproofness
Apr 14, 2016 - i ) = {(x, x/) ∈ X × X : either x/Pix & xP/ .... being the unique connected component implies that P/ i |A = P// i |A, and thus we also have. A = {x : xP// i y for all y ∈ C}. Similarly, we can define the set B of alternatives ...

Characterization of non-cytoplasmic incompatibility ...
and Florida, USA (James and Ballard, 2000). Its presence is also suspected ... Valerie Delmarre and Chantal Labellie for technical assistance. We are most ... Reproduction, Oxford University Press: Oxford. pp 42–80. Hoffmann AA, Turelli M, ...

Self-incompatibility .pdf
devised diverse means of pollination by which the fertile pollen grains are able to reach the. receptive stigmas. Landing of pollen grains on the female stigma ...

Pareto prinsiippi reflektio.pdf
Whoops! There was a problem loading more pages. Whoops! There was a problem previewing this document. Retrying... Download. Connect more apps.

Ghose, On the Incompatibility of Standard Quantum Mechanics and ...
Ghose, On the Incompatibility of Standard Quantum Mechanics and the de Broglie-Bohm Theory.pdf. Ghose, On the Incompatibility of Standard Quantum ...

The Evolution of Cytoplasmic Incompatibility Types
Dec 7, 2005 - Jan EngelstДdter,1 Sylvain Charlat, Andrew Pomiankowski and Gregory D. D. Hurst ...... low for small populations and remains constant up to a.

pareto efficiency pdf
Page 1. Whoops! There was a problem loading more pages. Retrying... pareto efficiency pdf. pareto efficiency pdf. Open. Extract. Open with. Sign In. Main menu.

What maintains noncytoplasmic incompatibility ...
invasion, are best understood by considering three factors: (i) ... that long term Wolbachia-host co-evolution would lead to reduced CI ..... female age, hard conditions in the field, and a long trip from Africa to ..... Accelerat- ing cytoplasmic dr

B203 Adaptive Formation of Pareto Front in Evolutionary Multi ...
B203 Adaptive Formation of Pareto Front in Evolutionary Multi-Objective Optimization.pdf. B203 Adaptive Formation of Pareto Front in Evolutionary ...

A simpli"ed approach to computing e$ciency bounds in ...
(Section 4), and the cumulative distribution function (Section 5). Sections 6 ...... (y"z)dy is bounded, an application of the Cauchy}Schwarz inequality shows that ...

Pareto Optimal Design of Absorbers Using a Parallel ...
high performance electromagnetic absorbers. ... optimization algorithms to design high performance absorbers: such algorithms return a set of ... NSGA to speed up the convergence. ..... optimal broadband microwave absorbers,” IEEE Trans.

LNCS 6622 - Pareto Local Optima of Multiobjective NK ...
Abstract. In this paper, we conduct a fitness landscape analysis for multiobjective combinatorial optimization, based on the local optima of multiobjective ...

Pareto-Improving Firing Costs?
Jan 17, 2011 - Many countries impose costs on employers who wish to dismiss a worker. These can take several forms, including restrictions on how and when a worker can be fired, and severance costs that must be paid to the worker. These firing costs,

Beliefs and Pareto Efficient Sets - Paris School of Economics
h's subjective probability of state s divided by that of state s− in the second .... (ii) S (iii). Assume that P(p) 5 P(p) ] ” and pick a feasible allocation x in P(p) 5 P(p).

Pareto-efficient tax breaks - Dominik Sachs
Nov 2, 2016 - for education and health (insurance premiums and/or out-of-pocket spending) are also treated favorably by the tax systems of ... by definition not separable from labor-leisure choices. Hence, for .... 2.2 Technology. The output ...

Monotonic incompatibility between electing and ranking
Jul 13, 2009 - Proof. Let 2k+i equal the number of voters, with i either 0 or 1, and P ... implies A≈SC. The profile P is obtained when the first k voters move.

Wolbachia and Cytoplasmic Incompatibility in the California Culex ...
(CI; reduced hatch rate) when infected males mate with uninfected females, can be used in a program ... 1Present address: Department of Entomology, North Carolina State tion; (2) ... between the two dorsal arms) within the accepted range for.

Wolbachia and Cytoplasmic Incompatibility in the ...
technical hurdles can be overcome, our data indicate that Wolbachia can invade ..... north-south transect in California during the summer of 1999 ...... and the University of California Mosquito Research Program. ... Applied Science, London.

Two-phase Pareto local search for the biobjective traveling ... - DIT
Technical report, Technical University of Denmark, Lingby, Denmark (1998). Codenotti, B., Manzini, G. .... 666–673, San Francisco, California, July 2002. Morgan ...

Matching Frictions, Effi ciency Wages, and Unemployment in the USA ...
was undertaken while Mavroeidis was a Research Fellow at the University of ... that is estimated for the USA and the UK to derive the underlying structural parameters. ...... tion of the FLRE wage equation that fits the data best was found to be.