Duration Models in Politics
Duration models — also called event history or survival models — analyze the time until a political event occurs: how long a cabinet lasts before it falls, how long a war runs before it ends, how long a policy takes to be adopted, or how long a regime survives. Rather than asking only whether an event happens, these models ask when, modeling the hazard rate as a function of covariates while correctly handling censored cases that have not yet experienced the event. The Cox proportional hazards model and parametric alternatives such as the Weibull, popularized in political science by Box-Steffensmeier and Jones, form the core toolkit.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Box-Steffensmeier, J. M., & Jones, B. S. (2004). Event History Modeling: A Guide for Social Scientists. Cambridge University Press. · ISBN 9780521546737
- Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202. · DOI 10.1111/j.2517-6161.1972.tb00899.x
- Beck, N., Katz, J. N., & Tucker, R. (1998). Taking Time Seriously: Time-Series-Cross-Section Analysis with a Binary Dependent Variable. American Journal of Political Science, 42(4), 1260–1288. · DOI 10.2307/2991857
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
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Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.