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Incorrectly accounting for taste heterogeneity in choice experiments: Does it really matter for welfare measurement?

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  • Catalina M. Torres Figuerola

    (Centre de Recerca Econòmica (UIB · Sa Nostra))

  • Nick Hanley

    (University of Stirling)

  • Sergio Colombo

    (Agricultural Economics Department (IFAPA))

Abstract

A range of empirical approaches to representing preference heterogeneity have emerged in choice modelling. Researchers have been able to explore the differences which selection of a particular approach makes to welfare measures in a particular dataset, and indeed have been able to implement a number of tests for which approach best fits a particular set of data. However, the question as to the degree of error in welfare estimation from an inappropriate choice of empirical approach has not been addressed. In this paper, we use Monte Carlo analysis to address this question. Given the high popularity of both the random parameter logit (RPL) and latent class models among choice modellers, we examine the errors in welfare estimates from using the incorrect model to account for taste heterogeneity. Our main finding is that using an RPL specification with log-normally distributed preferences seems the best bet.

Suggested Citation

  • Catalina M. Torres Figuerola & Nick Hanley & Sergio Colombo, 2011. "Incorrectly accounting for taste heterogeneity in choice experiments: Does it really matter for welfare measurement?," CRE Working Papers (Documents de treball del CRE) 2011/1, Centre de Recerca Econòmica (UIB ·"Sa Nostra").
  • Handle: RePEc:pdm:wpaper:2011/1
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    Cited by:

    1. Wiktor Budziński, 2015. "The effects of non-constant marginal utility of cost for public goods valuation," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 43.
    2. Xiaogu Li & Christopher Clark & Kimberly Jensen & Steven Yen, 2014. "Will consumers follow climate leaders? The effect of manufacturer participation in a voluntary environmental program on consumer preferences," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(1), pages 69-87, January.

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