A nonparametric approach to the incorporation of heterogeneity into repeated polytomous choice models of urban shopping behaviour |
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| Institution: | 1. School of Public and International Affairs, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA;2. Department of Geography and Urban Studies, Temple University, Philadelphia, PA 19122, USA;1. Shanghai Key Laboratory of Urban Design and Urban Science, NYU Shanghai, Shanghai, China;2. School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China;3. Department of Urban Planning and Design, University of Hong Kong, Hong Kong, China;4. Division of Arts and Sciences, NYU Shanghai, Shanghai, China |
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| Abstract: | Longitudinal discrete choice models which use a mixing distribution to control for unobserved heterogeneity, and which are estimated by a nonparametric maximum likelihood mass point procedure, have so far been restricted to the analysis of dichotomous choices. This paper extends mass point methods to the case of polytomous choice problems and in so doing makes an important contribution to the analysis of longitudinal data and dynamic discrete choice models. The paper concludes with an empirical assessment of the performance of mass point methods in the analysis of urban shopping behaviour, using short-term panel data from the Cardiff Consumer Panel. |
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