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.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Technical Working Papers with number
0157.
Length: Date of creation: Jun 1994 Date of revision: Handle: RePEc:nbr:nberte:0157
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Find related papers by JEL classification: C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis
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Jaap Abbring & James Heckman, 2008.
"Dynamic policy analysis,"
CeMMAP working papers
CWP05/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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