Unobserved Heterogeneity in Dynamic Discrete Choice Models

S Reader
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S Reader: Department of Geography, McMaster University, Hamilton, Ontario L8S 4K1, Canada

Environment and Planning A, 1993, vol. 25, issue 4, 495-519

Abstract: Monte Carlo simulation methods are used to confirm the identifiability of discrete choice models in which unobserved heterogeneity is specified as a random effect and modelled using the nonparametric mass-points approach. This simulation analysis is also used to examine alternative strategies for the estimation of such models by using a quasi-Newton maximum-likelihood estimation procedure, given the apparent sensitivity of model identification to choice of starting values. A mass-point model approach is then applied to a dataset of repeated choice involving household shopping trips between three types of retail centre, and the results from this approach are compared with those obtained from a conventional cross-sectional multinomial logit choice model as well as to results from a model in which a parametric distribution (the Dirichlet ) is used to model the unobserved heterogeneity.

Date: 1993
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:25:y:1993:i:4:p:495-519

DOI: 10.1068/a250495

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