Endogenous voting weights for elected representatives and redistricting

Justin Svec and James Hamilton ()

Constitutional Political Economy, 2015, vol. 26, issue 4, 434-441

Abstract: This paper analyzes the merits of a novel method of eliminating the power of a gerrymanderer that involves an endogenous weighting system for elected representatives. This endogenous weighting system ties the voting weight of elected representatives in the legislature to the share of the voters who voted for that representative’s party and to the share of representatives elected from that party. If the weights are set correctly, it can be shown in the simple voting model of Gilligan and Matsusaka (Public Choice 100:65–84, 1999 ) that redistricting has no influence on the policy passed by the legislature. In effect, the endogenous weighting system converts a single-member plurality political system into one with proportional representation. Copyright Springer Science+Business Media New York 2015

Keywords: Redistricting; Representative weights; Gerrymander; D72; H11 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/s10602-015-9196-0 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Endogenous Voting Weights for Elected Representatives and Redistricting (2013)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:copoec:v:26:y:2015:i:4:p:434-441

Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/10602/PS2

DOI: 10.1007/s10602-015-9196-0

Access Statistics for this article

Constitutional Political Economy is currently edited by Roger Congleton and Stefan Voigt

More articles in Constitutional Political Economy from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().