title: Econometric mixture models and more general models for unobservables in duration analysis.
abstract: This paper considers models for unobservables in duration models. It demonstrates how cross-section and time-series variation in regressors facilitates identification of single-spell, competing risks and multiple spell duration models. We also demonstrate the limited value of traditional identification studies by considering a case in which a model is identified in the conventional sense but cannot be consistently estimated.
authors: Department of Economics, University of Chicago, IL 60637.
authors: J J
authors: JJ
authors: Heckman
authors: C R
authors: CR
authors: Taber
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D017059:Models, Econometric; D016016:Proportional Hazards Models; D018570:Risk Assessment; D013997:Time Factors