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Legislative Review and Party Differentiation in Coalition Governments

Published online by Cambridge University Press:  09 November 2018

DAVID FORTUNATO*
Affiliation:
Texas A&M University
*
*David Fortunato, Associate Professor of Political Science and Ray A. Rothrock' 77 Fellow, Department of Political Science, Texas A&M University, [email protected].

Abstract

Multiparty governance requires compromise and this compromise can lead to electoral losses. I argue that coalition members are motivated to differentiate themselves from their cabinet partners to mitigate potential electoral losses resulting from voters perceiving them as not rigorously pursuing their core policy positions or not possessing strong policy stands. I test this argument with original data on the scrutiny of over 2,200 government bills gathered from three parliamentary democracies incorporating information on voter perceptions of partisan ideology and parties’ policy preferences as derived from their manifestos. I find that coalition partners that are perceived as more similar will amend one another’s legislative proposals more vigorously in an effort to differentiate in the eyes of the electorate—to protect their brand—and therefore provide evidence for “pure” vote-seeking behavior in the legislative review process. Furthermore, these original data provide answers to several open questions regarding the policy motivations of cabinet parties in legislative review and the role of committee chairs and external support parties on policy outcomes.

Type
Letter
Copyright
Copyright © American Political Science Association 2018 

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Footnotes

I am grateful to Randy Calvert, Royce Carroll, Songying Fang, Will Lowe, Oli Proksch, Andrew Martin, Lanny Martin, Randy Stevenson, and Georg Vanberg for advice and helpful conversations on the manuscript, as well as five anonymous reviewers and Ben Lauderdale and the APSR editorial team. Any remaining errors are mine. I am also grateful to the SFB 884 “The Political Economy of Reforms” and the Hellman Foundation for funding and also Jacob Gutierrez, Ericka Ledesma, and especially Tessa Provins for research assistance. Replication materials can be found on Dataverse at: https://doi.org/10.7910/DVN/UVANPR.

References

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