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Appears in Collections:Economics Journal Articles
Peer Review Status: Refereed
Title: Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture
Authors: Colombo, Sergio
Hanley, Nicholas
Louviere, Jordan
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Keywords: preference heterogeneity
choice modelling
Issue Date: May-2009
Publisher: Wiley-Blackwell / International Association of Agricultural Economists
Citation: Colombo S, Hanley N & Louviere J (2009) Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture, Agricultural Economics, 40 (3), pp. 307-322.
Abstract: Stated choice models based on the random utility framework are becoming increasingly popular in the applied economics literature. The need to account for respondents' preference heterogeneity in such models has motivated researchers in agricultural, environmental, health, and transport economics to apply random parameter logit and latent class models. In most of the published literature these models incorporate heterogeneity in preferences through the systematic component of utility. An alternative approach is to investigate heterogeneity through the random component of utility, and covariance heterogeneity models are one means of doing this. In this article we compare these alternative ways of incorporating preference heterogeneity in stated choice models and evaluate the sensitivity of estimated welfare measures to which approach is selected. We find that a latent class approach fits our data best, but all the models perform well in terms of out-of-sample predictions. Finally, we discuss what criteria a researcher can use to decide which approach is most appropriate for a given data set.
Type: Journal Article
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Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.
Affiliation: IFAPA Centro Camino de Purchil
University of Technology, Sydney

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