Published online by Cambridge University Press: 16 March 2015
The possibility that actors strategically condition their behavior on partially unobservable factors poses a grave challenge to causal inference, particularly if only some of the actors whose behavior we analyze are at risk of experiencing the outcome of interest. We present a crisis bargaining model that indicates that targets can generally prevent war by arming. We then create a simulated data set where the model is assumed to perfectly describe interactions for those states engaged in crisis bargaining, which we assume most pairs of states are not. We further assume researchers cannot observe which states are engaged in crisis bargaining, although observable variables might serve as proxies. We demonstrate that a naïve design would falsely (and unsurprisingly) indicate a positive relationship between arming and war. More importantly, we then evaluate the performance of matching, instrumental variables, and statistical backwards induction. The latter two show some promise, but matching fares poorly.
Philip Arena, Visiting Assistant Professor of Political Science, Department of Political Science, University of Rochester, Harkness Hall, Rochester, NY 14627 (email@example.com). Kyle A. Joyce, Assistant Professor of Political Science, Department of Political Science, University of California, Davis One Shields Ave., 469 Kerr Hall, Davis, CA 95616 (firstname.lastname@example.org). The authors thank Amber Boydstun, Daina Chiba, Sean Gailmard, Heather McKibben, Randy Siverson, Zeev Maoz, Jamie Monogan III, Bill Reed, Toby Rider, Jas Sekhon, and Curt Signorino for valuable comments. The authors also thank Matt Buttice for research assistance. This article also benefited from comments provided by the participants at EITM (2010) and attendees of the Annual Meeting of the Society for Political Methodology (2010). To view supplementary material for this article, please visit http://dx.doi.org/10.1017/psrm.2014.42
Full text views reflects PDF downloads, PDFs sent to Google Drive, Dropbox and Kindle and HTML full text views.