The Differential Calculus of Consent

16 Pages Posted: 20 Jun 2002

See all articles by Francesco Parisi

Francesco Parisi

University of Minnesota - Law School; University of Bologna; University of Miami, School of Law

Jonathan Klick

University of Pennsylvania Carey Law School; Erasmus School of Law; PERC - Property and Environment Research Center

Abstract

Existing treatments of the choice of an optimal voting rule ignore the effects of the rule on political bargaining. Specifically, more stringent majority requirements reduce intra-coalitional free riding in political compromise, leading to greater gains from political trade. Once this benefit of increasing the vote share necessary to enact a proposal is recognized, we suggest that the optimal voting rule in the presence of transactions costs will actually be closer to unanimity than the optimal majority derived by Buchanan and Tullock (1962).

Keywords: analysis of collective decisions, welfare economics

JEL Classification: D6, D7

Suggested Citation

Parisi, Francesco and Klick, Jonathan, The Differential Calculus of Consent. Journal of Public Finance and Public Choice, Vol. 20, No. 2-3, 2002, George Mason Law & Economics Research Paper No. 02-18, Available at SSRN: https://ssrn.com/abstract=316482 or http://dx.doi.org/10.2139/ssrn.316482

Francesco Parisi (Contact Author)

University of Minnesota - Law School ( email )

229 19th Avenue South
Minneapolis, MN 55455
United States

University of Bologna ( email )

Piazza Scaravilli 1
40126 Bologna, fc 47100
Italy

University of Miami, School of Law ( email )

Jonathan Klick

University of Pennsylvania Carey Law School ( email )

3501 Sansom Street
Philadelphia, PA 19104
United States
2157463455 (Phone)

Erasmus School of Law ( email )

3000 DR Rotterdam
Netherlands

PERC - Property and Environment Research Center

2048 Analysis Drive
Suite A
Bozeman, MT 59718
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
352
Abstract Views
3,966
Rank
166,095
PlumX Metrics