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A Discussion of “Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model”

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  • Bill Provencher
  • Rebecca Moore

Abstract

In the current issue of Environmental and Resource Economics, Morey et al. (2006) discuss a new approach to using attitudinal data in latent class modeling. We compare this approach with the one taken in Boxall and Adamowicz (2002), in the context of a discrete choice, random utility framework with heterogeneous preferences. We derive the respective likelihood functions of the two approaches to show that they are structurally similar, and discuss their implications for the use of attitudinal data. We conclude with a discussion comparing the relative merits of latent class and random parameters (mixed logit) modeling, offering the view that as a practical matter, choosing between them depends on the analyst’s judgment about the correlation of preference parameters. Copyright Springer 2006

Suggested Citation

  • 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.
    • Handle: RePEc:kap:enreec:v:34:y:2006:i:1:p:117-124
    DOI: 10.1007/s10640-005-3793-8
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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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    Citations

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    Cited by:

    1. William Breffle & Edward Morey & Jennifer Thacher, 2011. "A Joint Latent-Class Model: Combining Likert-Scale Preference Statements With Choice Data to Harvest Preference Heterogeneity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 83-110, September.
    2. Farsi, Mehdi, 2010. "Risk aversion and willingness to pay for energy efficient systems in rental apartments," Energy Policy, Elsevier, vol. 38(6), pages 3078-3088, June.
    3. Meldrum, James R., 2015. "Comparing different attitude statements in latent class models of stated preferences for managing an invasive forest pathogen," Ecological Economics, Elsevier, vol. 120(C), pages 13-22.
    4. Angel Bujosa & Antoni Riera & Robert Hicks, 2010. "Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(4), pages 477-493, December.
    5. Takama, Takeshi & Tsephel, Stanzin & Johnson, Francis X., 2012. "Evaluating the relative strength of product-specific factors in fuel switching and stove choice decisions in Ethiopia. A discrete choice model of household preferences for clean cooking alternatives," Energy Economics, Elsevier, vol. 34(6), pages 1763-1773.
    6. Beville, Stephen T. & Kerr, Geoffrey N. & Hughey, Kenneth F.D., 2012. "Valuing impacts of the invasive alga Didymosphenia geminata on recreational angling," Ecological Economics, Elsevier, vol. 82(C), pages 1-10.
    7. 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).
    8. Parsons, George R. & Hidrue, Michael K. & Kempton, Willett & Gardner, Meryl P., 2014. "Willingness to pay for vehicle-to-grid (V2G) electric vehicles and their contract terms," Energy Economics, Elsevier, vol. 42(C), pages 313-324.
    9. Kenneth A. Baerenklau, 2010. "A Latent Class Approach to Modeling Endogenous Spatial Sorting in Zonal Recreation Demand Models," Land Economics, University of Wisconsin Press, vol. 86(4), pages 800-816.
    10. Edel Doherty & Brendan Kennelly & Darragh Flannery & Stephen Kynes & John Considine, 2013. "Student preferences for assignment systems: Results from a discrete choice experiment in Irish universities," Working Papers WP052013, University of Limerick, Department of Economics, revised Sep 2013.
    11. Kloos, Julia & Tsegai, Daniel W., 2009. "Preferences for domestic water services in the Middle Olifants sub-basin of South Africa," Discussion Papers 49970, University of Bonn, Center for Development Research (ZEF).
    12. Román, Concepción & Arencibia, Ana Isabel & Feo-Valero, María, 2017. "A latent class model with attribute cut-offs to analyze modal choice for freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 212-227.
    13. Rakotonarivo, O. Sarobidy & Jacobsen, Jette B. & Larsen, Helle O. & Jones, Julia P.G. & Nielsen, Martin R. & Ramamonjisoa, Bruno S. & Mandimbiniaina, Rina H. & Hockley, Neal, 2017. "Qualitative and Quantitative Evidence on the True Local Welfare Costs of Forest Conservation in Madagascar: Are Discrete Choice Experiments a Valid ex ante Tool?," World Development, Elsevier, vol. 94(C), pages 478-491.

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