Article ID Journal Published Year Pages File Type
5061817 Economics Letters 2008 4 Pages PDF
Abstract
We show how to recursively calculate analytic first and second derivatives of the likelihood for a popular discrete-choice, dynamic programming model. These allow for decreased computing time, and are useful for de-bugging complicated program code and accurately estimating standard errors.
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Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
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Obtaining analytic derivatives for a popular discrete-choice dynamic programming model
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