Learning from each other: causal inference and American political development
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11127_2019_728_ReferencePDF.pdf
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389.36 KB
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Checksum (MD5)
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Author(s)
Jenkins, Jeffery A.
McCarty, Nolan
Stewart III, Charles H
Date Issued
November 2019
Journal
Public Choice
Publisher
Springer Science and Business Media LLC
Citation
Jenkins, Jeffery A. et al. "Learning from each other: causal inference and American political development." Public Choice 185, 3-4 (November 2019): 245–251 © 2019 Springer Science Business Media, LLC, part of Springer Nature
Version
Author's final manuscript
Abstract
Within political science, a movement focused on increasing the credibility of causal inferences (CIs) has gained considerable traction in recent years. While CI has been incorporated extensively into most disciplinary subfields, it has not been applied often in the study of American political development (APD). This special issue considers ways in which scholars of CI and APD can engage in mutually beneficial ways to produce better overall research. As the contributions to the symposium demonstrate, clear scientific gains are to be had from greater CI–APD engagement.
MIT Department
Massachusetts Institute of Technology. Department of Political Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1007/s11127-019-00728-x
