Heckman J J, Taber C R
Department of Economics, University of Chicago, IL 60637.
Stat Methods Med Res. 1994;3(3):279-99. doi: 10.1177/096228029400300306.
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.