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- Title
Accounting for Right Censoring in Interdependent Duration Analysis.
- Authors
Hays, Jude C.; Schilling, Emily U.; Boehmke, Frederick J.
- Abstract
Duration data are often subject to various forms of censoring that require adaptations of the likelihood function to properly capture the data generating process, but existing spatial duration models do not yet account for these potential issues. Here, we develop a method to estimate spatial-lag duration models when the outcome suffers from right censoring, the most common form of censoring. We adapt Wei and Tanner's (1991) imputation algorithm for censored (non-spatial) regression data to models of spatially interdependent durations. The algorithm treats the unobserved duration outcomes as censored data and iterates between multiple imputation of the incomplete, that is, right censored, values and estimation of the spatial duration model using these imputed values. We explore the performance of an estimator for lognormal durations in the face of varying degrees of right censoring via Monte Carlo and provide empirical examples of its estimation by analyzing spatial dependence in states' entry dates into World War I.
- Subjects
RIGHT censoring (Statistics); MONTE Carlo method; POLITICAL science research; ECONOMIC status; MAXIMUM likelihood statistics
- Publication
Political Analysis, 2015, Vol 23, Issue 3, p400
- ISSN
1047-1987
- Publication type
Article
- DOI
10.1093/pan/mpv012