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Instrumental Variables Estimation in Political Science: A Readers' Guide

Sovey, Allison J. ; Green, Donald P.

American journal of political science, 2011-01, Vol.55 (1), p.188-200 [Periódico revisado por pares]

Malden, USA: Wiley Subscription Services

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  • Título:
    Instrumental Variables Estimation in Political Science: A Readers' Guide
  • Autor: Sovey, Allison J. ; Green, Donald P.
  • Assuntos: AJPS WORKSHOP ; Control groups ; Diachronic analysis ; Encouragement ; Estimating techniques ; Estimation ; Estimators ; Graphs ; Implementation ; Instrumental variables ; Instrumental variables estimation ; International Relations ; Methodology ; Natural experiments ; Political campaigns ; Political Science ; Political science research ; Quality standards ; Rain ; Regression analysis ; Research design ; Review articles ; Statistical methods
  • É parte de: American journal of political science, 2011-01, Vol.55 (1), p.188-200
  • Notas: Donald P. Green is A. Whitney Griswold Professor of Political Science, Yale University, 115 Prospect Street, Rosenkranz Hall, Room 437, New Haven, CT 06520
    donald.green@yale.edu
    Allison J. Sovey is a Ph.D. student in Political Science, Yale University, 115 Prospect Street, Rosenkranz Hall, Room 437, New Haven, CT 06520
    An earlier version of this article was prepared for the 26th Annual Society for Political Methodology Summer Conference, Yale University. We are grateful to Jake Bowers, John Bullock, Daniel Butler, Thad Dunning, Andrew Gelman, Holger Kern, and Jan Box‐Steffensmeier for helpful comments. We also thank Peter Aronow and Mario Chacon, who assisted us in data collection and provided valuable suggestions. This project was funded by support from Yale’s Institution for Social and Policy Studies. We are responsible for any errors.
    allison.sovey@yale.edu
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  • Descrição: 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 applicatioins 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.
  • Editor: Malden, USA: Wiley Subscription Services
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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