ICAR Research Data Repository for Knowledge Management
Replication Data for: Congressional Representation: Accountability from the Constituent’s Perspective
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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| Title |
Replication Data for: Congressional Representation: Accountability from the Constituent’s Perspective
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| Identifier |
https://doi.org/10.7910/DVN/QOVWMM
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| Creator |
Ansolabehere, Stephen
Kuriwaki, Shiro |
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| Publisher |
Harvard Dataverse
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| Description |
The premise that constituents hold representatives accountable for their legislative decisions undergirds political theories of democracy and legal theories of statutory interpretation. But studies of this at the individual level are rare, examine only a handful of issues, and arrive at mixed results. We provide an extensive assessment of issue accountability at the individual level. We trace the congressional rollcall votes on 44 bills across seven Congresses (2006--2018), and link them to constituent's perceptions of their representative's votes and their evaluation of their representative. Correlational, instrumental variables, and experimental approaches all show that constituents hold representatives accountable. A one-standard deviation increase in a constituent's perceived issue agreement with their representative can improve net approval by 35 percentage points. Congressional districts, however, are heterogeneous. Consequently, the effect of issue agreement on vote is much smaller at the district-level, resolving an apparent discrepancy between micro and macro studies.
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| Subject |
Social Sciences
American politics Representation Accountability Cooperative Congressional Election Study (CCES) |
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| Contributor |
Kuriwaki, Shiro
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| Source |
Kuriwaki, Shiro. CCES Common Content. Harvard Dataverse. https://doi.org/10. 7910/DVN/II2DB6 Ansolabehere, Stephen. CCES 2006, Team Module of Harvard University. Harvard Dataverse. https://doi.org/10.7910/DVN/EK9MGR, V2 Ansolabehere, Stephen. CCES 2007 Common Content. Harvard Dataverse. https: //doi.org/10.7910/DVN/OOXTJ5 Ansolabehere, Stephen. CCES 2008, Team Module of Harvard University. Harvard Dataverse. https://doi.org/10.7910/DVN/WXXXJO Ansolabehere, Stephen. CCES 2009, Team Module of Harvard University. Harvard Dataverse. https://doi.org/10.7910/DVN/NLCNWR Ansolabehere, Stephen. CCES 2010, Team Module of Harvard University. Harvard Dataverse. https://doi.org/10.7910/DVN/VALFAO Ansolabehere, Stephen, and Brian Schaffner. CCES 2012 Wave of 2010-2014 Panel: https://doi.org/10.7910/DVN/24416 Ansolabehere, Stephen. CCES 2013, Team Module of Harvard University. Harvard Dataverse. https://doi.org/10.7910/DVN/KWWKHJ Ansolabehere, Stephen. CCES 2014, Team Module of Harvard University. Harvard Dataverse. https://doi.org/10.7910/DVN/1ZHN2V Ansolabehere, Stephen and Shiro Kuriwaki. CCES 2015, Team Module of Harvard University. Harvard Dataverse. https://doi.org/10.7910/DVN/QQ810Q Ansolabehere, Stephen, and Shiro Kuriwaki. CCES 2016, Team Module of Harvard University. Harvard Dataverse. https://doi.org/10.7910/DVN/OODIMK and https://doi. org/10.7910/DVN/80TW5K Ansolabehere, Stephen. CCES 2017, Team Module of Harvard University. Harvard Dataverse. https://doi.org/10.7910/DVN/KCXB8J Ansolabehere, Stephen, and Shiro Kuriwaki. CCES 2018, Team Module of Harvard University (HUA and HUB). Harvard Dataverse. https://doi.org/10.7910/DVN/ZLNSYN Lewis, Jeffrey B., Keith Poole, Howard Rosenthal, Adam Boche, Aaron Rudkin, and Luke Sonnet (2020). Voteview: Congressional Roll-Call Votes Database. https:// voteview.com/ |
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