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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

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  • Rebecca Moore
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    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

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    Bibliographic Info

    Article provided by European Association of Environmental and Resource Economists in its journal Environmental and Resource Economics.

    Volume (Year): 34 (2006)
    Issue (Month): 1 (05)
    Pages: 117-124

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    Handle: RePEc:kap:enreec:v:34:y:2006:i:1:p:117-124

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    Web page: http://www.springerlink.com/link.asp?id=100263

    Related research

    Keywords: attitudinal data; heterogeneous preferences; latent class; mixed logit; random parameters; random utility model;

    References

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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, European Association of Environmental and Resource Economists, vol. 34(1), pages 91-115, 05.
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    Citations

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    Cited by:
    1. Mehdi Farsi, 2008. "Risk-Aversion and Willingness to Pay for Energy Efficient Systems in Rental Apartments," CEPE Working paper series 08-55, CEPE Center for Energy Policy and Economics, ETH Zurich.
    2. 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).
    3. 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, European Association of Environmental and Resource Economists, vol. 50(1), pages 83-110, September.
    4. 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.
    5. Angel Bujosa & Antoni Riera & Robert Hicks, 2010. "Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 47(4), pages 477-493, December.
    6. 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).
    7. 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.

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