Replication Data for: Proper Specification of Non-proportional Hazards Corrections in Duration Models

Parametric and nonparametric duration models assume proportional hazard: the effect of a covariate on the hazard rate stays constant over time. Researchers have developed techniques to test and correct non-proportional hazards, including interacting the covariates with some function of time. Including this interaction term means that the specification now involves time-varying covariates, and the model specification should reflect this feature. However, in situations with no time-varying covariates initially, researchers often continue to model the duration with only time-invariant covariates. This error results in biased estimates, particularly for the covariates interacted with time. We investigate this issue in over forty Political Science articles and find that of those studies that begin with time-invariant covariates and correct for non-proportional hazards the majority suffer from incorrect model specification. Proper estimation usually produces substantively or statistically different results.