Eberwein, Curtis; Ham, John C. - In: Economics Letters 101 (2008) 3, pp. 168-171
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.