Not Playing The Game: Non-Particpation In Repeated Discrete Choice Models
AbstractThis paper develops and empirically evaluates alternative econometric strategies for accounting for non-participation - repeated choice of the same alternative or same type of alternative - in data sets that are typically analyzed within the repeated discrete choice framework. Random coefficient single and double hurdle variants of the repeated discrete choice model are developed and applied to stated preference data. The empirical results suggest that significant statistical improvements in fit can arise with the single and double models relative to more traditional models. However, similar to Haab and McConnell's (1996) findings in the context of count data models, these gains are diminished when the analyst accounts for unobserved heterogeneity through random coefficients.
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Bibliographic InfoPaper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2003 Annual meeting, July 27-30, Montreal, Canada with number 22037.
Date of creation: 2003
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