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Lavin, Felipe Vasquez; Hanemann, W. Michael. |
Researchers using revealed preference data have mostly relied on the Mixed Logit (ML) framework to model unobserved heterogeneity. In this paper, we suggest an extension of this model where we integrate direct measures of taste and revealed preferences, under a unified econometric setting, to describe heterogeneous preferences for congestion in recreation demand. ML is a random parameter discrete choice model, which decomposes the coefficients of the regression equation into a mean effect shared by all individuals in the sample, and a deviation with respect to this mean, specific to each individual. Within this structure, heterogeneity is summarized using a parametric density function for the coefficients of the model. From this distribution one can... |
Tipo: Working or Discussion Paper |
Palavras-chave: Research Methods/ Statistical Methods. |
Ano: 2008 |
URL: http://purl.umn.edu/47041 |
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