Econometric mixture models and more general models for unobservables in duration analysis

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 identificat...

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Veröffentlicht in:Statistical methods in medical research 1994, Vol.3 (3), p.279-299
Hauptverfasser: Heckman, James J, Taber, Christopher R
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:0962-2802
1477-0334
DOI:10.1177/096228029400300306