Journal article
Selection bias and continuous-time duration models: Consequences and a proposed solution
American Journal of Political Science, Vol.50(1), pp.192-207
2006
DOI: 10.1111/j.1540-5907.2006.00178.x
Abstract
This article analyzes the consequences of nonrandom sample selection for continuous-time duration analyses and develops a new estimator to correct for it when necessary. We conduct a series of Monte Carlo analyses that estimate common duration models as well as our proposed duration model with selection. These simulations show that ignoring sample selection issues can lead to biased parameter estimates, including the appearance of (nonexistent) duration dependence. In addition, our proposed estimator is found to be superior in root mean-square error terms when nontrivial amounts of selection are present. Finally, we provide an empirical application of our method by studying whether self-selectivity is a problem for studies of leaders' survival during and following militarized conflicts.
Details
- Title: Subtitle
- Selection bias and continuous-time duration models: Consequences and a proposed solution
- Creators
- Frederick J BoehmkeDaniel S MoreyMegan Shannon
- Resource Type
- Journal article
- Publication Details
- American Journal of Political Science, Vol.50(1), pp.192-207
- DOI
- 10.1111/j.1540-5907.2006.00178.x
- ISSN
- 0092-5853
- eISSN
- 1540-5907
- Language
- English
- Date published
- 2006
- Academic Unit
- Public Policy Center (Archive); Political Science
- Record Identifier
- 9983982927502771
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