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• W2185647576 abstract "Proxies for unobserved skills and technologies are increasingly available in empirical data. For dynamic discrete choice models of forward-looking agents where a continuous state variable is unobserved but its proxy is available, we derive closed-form identification of the structure by explicitly solving integral equations. In the first step, we derive closed-form identification of Markov components, including the conditional choice probabilities and the law of state transition. In the second step, we plug in these first-step identifying formulas to obtain primitive structural parameters of dynamically optimizing agents." @default.
• W2185647576 created "2016-06-24" @default.
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• W2185647576 date "2017-03-06" @default.
• W2185647576 modified "2023-09-26" @default.
• W2185647576 title "CLOSED-FORM IDENTIFICATION OF DYNAMIC DISCRETE CHOICE MODELS WITH PROXIES FOR UNOBSERVED STATE VARIABLES" @default.
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• W2185647576 doi "https://doi.org/10.1017/s0266466617000081" @default.
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