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The Identification of a Mixture of First-Order Binary Markov Chains

Authors


  • The second author gratefully acknowledges that this research was supported by grant number ECO2009-11165 from the Spanish Minister of Science.

Abstract

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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