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A practical test for the choice of mixing distribution in discrete choice models

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Fosgerau, Mogens
Bierlaire, Michel

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Abstract

The choice of a specific distribution for random parameters of discrete choice models is a critical issue in transportation analysis. Indeed, various pieces of research have demonstrated that an inappropriate choice of the distribution may lead to serious bias in model forecast and in the estimated means of random parameters. In this paper, we propose a practical test, based on seminonparametric techniques. The test is analyzed both on synthetic and real data, and is shown to be simple and powerful.

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Publisher Info
Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

Volume (Year): 41 (2007)
Issue (Month): 7 (August)
Pages: 784-794
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Handle: RePEc:eee:transb:v:41:y:2007:i:7:p:784-794

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  1. Fosgerau, Mogens, 2007. "Using nonparametrics to specify a model to measure the value of travel time," MPRA Paper 12009, University Library of Munich, Germany. [Downloadable!]
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  2. Fosgerau, Mogens & Hess, Stephane, 2008. "Competing methods for representing random taste heterogeneity in discrete choice models," MPRA Paper 10038, University Library of Munich, Germany. [Downloadable!]
  3. Ricardo Scarpa & Mara Thiene & Francesco Marangon, 2007. "Using flexible taste distributions to value collective reputation for environmentally-friendly production methods," Working Papers in Economics 07/24, University of Waikato, Department of Economics. [Downloadable!]
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