TY - JOUR
T1 - Duration models for repeated events
AU - Box-Steffensmeier, Janet M.
AU - Zorn, Christopher
N1 - Funding Information:
Thanks to Mario Cleves, John Freeman, Stanley Lemeshow, Melvin Moeschberger, Dan Reiter, Narayan Sastry, Terry Therneau, anonymous reviewers, and the editor for helpful discussions, and to Kevin Sweeney and Andy Tomlinson for research assistance. Box-Steffensmeier thanks the National Science Foundation for support via a Mid-Career Methodological Opportunities Grant, number SES-0083418, and Zorn thanks the John M. Olin Foundation for a Faculty Fellowship supporting this research. An earlier version of this paper was presented at the 1999 Summer Meeting of the Political Methodology Society, Texas A&M University, College Station, and at the 2001 Speaker Series for The Center for Biostatistics and The School of Public Health, Division of Epidemiology and Biometrics, Ohio State University.
PY - 2002/11
Y1 - 2002/11
N2 - An important feature of most political events is their repeatability: nearly all political events reoccur, and theories of learning, path dependence, and institutional change all suggest that later events will differ from earlier ones. Yet, most models for event history analysis fail to account for repeated events, a fact that can yield misleading results in practice. We present a class of duration models for analyzing repeated events, discuss their properties and implementation, and offer recommendations for their use by applied researchers. We illustrate these methods through an application to widely used data on international conflict.
AB - An important feature of most political events is their repeatability: nearly all political events reoccur, and theories of learning, path dependence, and institutional change all suggest that later events will differ from earlier ones. Yet, most models for event history analysis fail to account for repeated events, a fact that can yield misleading results in practice. We present a class of duration models for analyzing repeated events, discuss their properties and implementation, and offer recommendations for their use by applied researchers. We illustrate these methods through an application to widely used data on international conflict.
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U2 - 10.1111/1468-2508.00163
DO - 10.1111/1468-2508.00163
M3 - Review article
AN - SCOPUS:0036852346
SN - 0022-3816
VL - 64
SP - 1069
EP - 1094
JO - Journal of Politics
JF - Journal of Politics
IS - 4
ER -