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

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• 作者：Kim Huynh and Marcel Voia
• 刊名：Applied Stochastic Models in Business and Industry
• 出版年：2017
• 出版时间：January/February 2017
• 年：2017
• 卷：33
• 期：1
• 页码：81-94
• 全文大小：648K
• ISSN：1526-4025

文摘

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