Quantifying parliamentary representation of constituents’ preferences with quasi-experimental data
David Stadelmann,
Marco Portmann and
Reiner Eichenberger ()
Journal of Comparative Economics, 2013, vol. 41, issue 1, 170-180
Abstract:
We analyze the effect of constituents’ preferences on legislators’ decisions within a quasi-experimental setting: In the Swiss referendum process, constituents and legislators vote on policy proposals and thus reveal their preferences. We match roll call votes of all legislators on 118 legislative proposals with revealed constituents’ preferences on exactly the same issues from 1996 to 2009. This setting allows us to quantify the quality of parliamentary representation. Results show that the probability of a legislator accepting a law proposal increases slightly when his/her constituency accepts the proposal and we explore mediating factors that affect congruence between legislators and constituents.
Keywords: Political representation; Constituents’ preferences; Referenda; Spatial voting models (search for similar items in EconPapers)
JEL-codes: D7 H7 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (27)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0147596712000443
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Quantifying Parliamentary Representation of Constituents' Preferences with Quasi-Experimental Data (2011) 
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:eee:jcecon:v:41:y:2013:i:1:p:170-180
DOI: 10.1016/j.jce.2012.05.005
Access Statistics for this article
Journal of Comparative Economics is currently edited by D. Berkowitz and G. Roland
More articles in Journal of Comparative Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().