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Mixed proportional hazard models with continuous finite mixture unobserved heterogeneity: an application to Canadian firm survival

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  • Kim Huynh
  • Marcel Voia

Abstract

This paper proposes a methodology that accounts for the selection effect due to non‐random entry in duration models using latent‐class models. A mixed proportional hazard model with continuous finite mixture unobserved heterogeneity (MPH‐CFM) is introduced to correct for the potential bias induced by the selection effect. Conditions for identification, consistency, and asymptotic normality of the MPH‐CFM are provided. The estimator is used to investigate the duration of new entrant Canadian manufacturing firms. For the current application, the MPH‐CFM is compared with alternative duration models and found to be superior. Empirically, the results indicate that there are two classes of firms. Class I starts with high hazard and decreases non‐monotonically while Class II has a negligible hazard. These empirical results can be used to understand alternative models of firm dynamics. Copyright © 2017 John Wiley & Sons, Ltd.

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  • Kim Huynh & Marcel Voia, 2017. "Mixed proportional hazard models with continuous finite mixture unobserved heterogeneity: an application to Canadian firm survival," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 33(1), pages 81-94, January.
    • Handle: RePEc:wly:apsmbi:v:33:y:2017:i:1:p:81-94
    DOI: 10.1002/asmb.2225
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    Cited by:

    1. Quiroz, Matias & Villani, Mattias, 2013. "Dynamic mixture-of-experts models for longitudinal and discrete-time survival data," Working Paper Series 268, Sveriges Riksbank (Central Bank of Sweden).

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