Econometric Mixture Models and More General Models for Unobservables in Duration Analysis

36 Pages Posted: 25 May 2006 Last revised: 8 Jun 2006

See all articles by James J. Heckman

James J. Heckman

University of Chicago - Department of Economics; National Bureau of Economic Research (NBER); American Bar Foundation; Institute for the Study of Labor (IZA); CESifo (Center for Economic Studies and Ifo Institute)

Christopher Taber

National Bureau of Economic Research (NBER); University of Wisconsin - Madison

Date Written: June 1994

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.

Suggested Citation

Heckman, James J. and Taber, Christopher R., Econometric Mixture Models and More General Models for Unobservables in Duration Analysis (June 1994). NBER Working Paper No. t0157. Available at SSRN: https://ssrn.com/abstract=225116

James J. Heckman (Contact Author)

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Christopher R. Taber

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University of Wisconsin - Madison ( email )

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