Selective Turnout, Voting Policy, And Partisan Bias: Evidence From Multi-Level Data
Steven Berry,
Christian Cox and
Philip Haile
Additional contact information
Steven Berry: Yale University
Christian Cox: University of Arizona
Philip Haile: Yale University
No 2453, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University
Abstract:
We study voting in general elections for the U.S. House of Representatives. Our data set includes demographics and turnout of all registered voters for the years 2016Ð2020, as well as vote shares at the precinct and contest level. We estimate a Downsian voting model incorporating rich observed and unobserved heterogeneity at the voter and contest level. We find that voters with high perceived voting costs tend to favor Democrats, as do marginal voters in most districts. Variation in state voting policies accounts for a modest share of overall estimated voting costs but is sufficient to determine the majority party in some years. We also find that many statesÕ district maps favor one party in converting votes to seats. On net these biases favor Republicans. For example, we estimate that winning 50% of votes in every state would give Republicans a 9 percentage point seat advantage in the House.
Pages: 65 pages
Date: 2025-08-08
References: Add references at CitEc
Citations:
Downloads: (external link)
https://cowles.yale.edu/sites/default/files/2025-08/d2453.pdf (application/pdf)
Related works:
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:cwl:cwldpp:2453
Ordering information: This working paper can be ordered from
Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
The price is None.
Access Statistics for this paper
More papers in Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University Yale University, Box 208281, New Haven, CT 06520-8281 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Brittany Ladd ().