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Instrumental Variables Estimation in Political Science

A Readers’ Guide

Bibliographic Data

ID7608481
AuthorsAllison J Sovey (Yale University), Donald P Green (0000-0002-8850-438X, Yale University)
Year2011
Volume55
Issue1
Pages188-200
Publication date2011-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Political Science (JOURNAL)
Journal identifiersISSN: 0092-5853 • E-ISSN: 1540-5907
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1540-5907.2010.00477.x
OpenAlexW1520418864
LanguageEN
Citations received195
References cited34

The use of instrumental variables regression in political science has evolved from an obscure technique to a staple of the political science tool kit. Yet the surge of interest in the instrumental variables method has led to implementation of uneven quality. After providing a brief overview of the method and the assumptions on which it rests, we chart the ways in which these assumptions are invoked in practice in political science. We review more than 100 articles published in the American Journal of Political Science, the American Political Science Review, and World Politics over a 24-year span. We discuss in detail two noteworthy applications of instrumental variables regression, calling attention to the statistical assumptions that each invokes. The concluding section proposes reporting standards and provides a checklist for readers to consider as they evaluate applications of this method

Chart · Checklist · Cognitive psychology · Econometrics · Economics · Epistemology · Estimation · Flow chart · Instrumental variable · Management · Political science · Politics · Quality (philosophy · Section (typography · Statistics · Variables · Computer Science · Electoral Systems and Political Participation · Engineering · Law · Mathematics · Political Conflict and Governance · Psychology · Qualitative Comparative Analysis Research

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Unique citing works195
Citations per year13
Citation span2011 - 2026 (16)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 194

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