The identification of a mixture of first order binary Markov Chains

Let S be the number of components in a finite discrete mixing distribution. We prove that the number of waves of panel being greater than or equal to 2S is a sufficient condition for global identification of a dynamic binary choice model in which all the parameters are heterogeneous. This model results in a mixture of S binary first order Markov Chains

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Year of publication:	2011-01
Authors:	Browning, Martin ; Carro, Jesús M.
Institutions:	Departamento de Economía, Universidad Carlos III de Madrid
Subject:	Discrete choice \| Markov processes \| Global identification

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Extent:	application/pdf
Series:	Economics Working Papers.
Type of publication:	Book / Working Paper
Language:	English
Classification:	C23 - Models with Panel Data ; C24 - Truncated and Censored Models ; J64 - Unemployment: Models, Duration, Incidence, and Job Search
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10009195325