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Using Attitudes to Characterize Heterogeneous Preferences

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  • Moore, Rebecca

Abstract

This paper compares three approaches to using attitudinal data to describe heterogeneous preferences for non-market goods. Two latent class models and one random parameter logit model are included. Each model makes different assumptions about the role of attitudes in the decision process. Specifically, each model assumes a different relationship between attitudes and preferences and these differences are discussed in terms of economic and social psychology theory. The three models are then used to examine individual preferences for water clarity improvements in Green Bay, Wisconsin. The results suggest that the choice of models has important implications on the quantitative results and on the nature of the preference heterogeneity, but does not affect the qualitative implications of the results. The estimates of expected WTP were nearly identical across the three models.

Suggested Citation

  • Moore, Rebecca, 2008. "Using Attitudes to Characterize Heterogeneous Preferences," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6488, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea08:6488
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    File URL: http://purl.umn.edu/6488
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    References listed on IDEAS

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    1. Riccardo Scarpa & Mara Thiene, 2004. "Destination Choice Models for Rock Climbing in the Northeast Alps: A Latent-Class Approach Based on Intensity of Participation," Working Papers 2004.131, Fondazione Eni Enrico Mattei.
    2. Pouta, Eija, 2004. "Attitude and belief questions as a source of context effect in a contingent valuation survey," Journal of Economic Psychology, Elsevier, vol. 25(2), pages 229-242, April.
    3. Bill Provencher & Rebecca Moore, 2006. "A Discussion of “Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 117-124, May.
    4. Bill Provencher & Kenneth A. Baerenklau & Richard C. Bishop, 2002. "A Finite Mixture Logit Model of Recreational Angling with Serially Correlated Random Utility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1066-1075.
    5. Heng Z. Chen & Stephen R. Cosslett, 1998. "Environmental Quality Preference and Benefit Estimation in Multinomial Probit Models: A Simulation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 512-520.
    6. Edward Morey & Kathleen Greer Rossmann, 2003. "Using Stated-Preference Questions to Investigate Variations in Willingness to Pay for Preserving Marble Monuments: Classic Heterogeneity, Random Parameters, and Mixture Models," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 27(3), pages 215-229, November.
    7. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    8. Provencher, Bill & Bishop, R.C.Richard C., 2004. "Does accounting for preference heterogeneity improve the forecasting of a random utility model? A case study," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 793-810, July.
    9. Edward Morey & Jennifer Thacher & William Breffle, 2006. "Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 91-115, May.
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    Cited by:

    1. Pepermans, Guido, 2011. "The value of continuous power supply for Flemish households," Energy Policy, Elsevier, vol. 39(12), pages 7853-7864.
    2. Rousseau, Sandra & Vranken, Liesbet, 2013. "Green market expansion by reducing information asymmetries: Evidence for labeled organic food products," Food Policy, Elsevier, vol. 40(C), pages 31-43.
    3. Pepermans, Guido, 2014. "Valuing smart meters," Energy Economics, Elsevier, vol. 45(C), pages 280-294.

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    Keywords

    Institutional and Behavioral Economics; Public Economics; Resource /Energy Economics and Policy;

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