Turnout and presidential coattails in congressional elections

Jean-François Godbout ()

Public Choice, 2013, vol. 157, issue 1, 333-356

Abstract: Estimating the impact of turnout on House election results is problematic because of endogeneity and omitted variable bias. The following study proposes an instrumental approach to correct for these problems by using a series of fixed effects two-stage least squares panel-data regression models covering three congressional apportionment cycles (1972–1980; 1982–1990; 1992–2000). The analysis tests whether voter participation decreases the House incumbent’s electoral support, regardless of the level of competition in the district. The study also aims to determine if an increase in participation benefits Democratic candidates and whether this effect is constant across apportionment cycles. The results show that the influence of turnout on incumbency vote share is conditional on the level of presidential support in the district. This finding is explained by the surge and decline thesis of Campbell ( 1960 ). Copyright Springer Science+Business Media, LLC 2013

Keywords: Congressional elections; Turnout; Presidential coattails (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11127-012-9947-7 (text/html)
Access to full text is restricted to subscribers.

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:kap:pubcho:v:157:y:2013:i:1:p:333-356

Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11127/PS2

DOI: 10.1007/s11127-012-9947-7

Access Statistics for this article

Public Choice is currently edited by WIlliam F. Shughart II

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