Literature DB >> 7820296

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

J J Heckman1, C R Taber.   

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.

Mesh:

Year:  1994        PMID: 7820296     DOI: 10.1177/096228029400300306

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  2 in total

1.  Performance of serum biomarkers for the early detection of invasive aspergillosis in febrile, neutropenic patients: a multi-state model.

Authors:  Michaël Schwarzinger; Luis Sagaon-Teyssier; Odile Cabaret; Stéphane Bretagne; Catherine Cordonnier
Journal:  PLoS One       Date:  2013-06-14       Impact factor: 3.240

2.  Overfitting Bayesian Mixture Models with an Unknown Number of Components.

Authors:  Zoé van Havre; Nicole White; Judith Rousseau; Kerrie Mengersen
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

  2 in total

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