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A Latent Class Approach to Modeling Endogenous Spatial Sorting in Zonal Recreation Demand Models

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  • Kenneth A. Baerenklau

Abstract

A method for incorporating unobserved heterogeneity into aggregate count data frameworks is presented and used to control for endogenous spatial sorting in zonal recreation models. The method is based on latent class analysis, which has become a popular tool for analyzing heterogeneous preferences with individual data but has not yet been applied to aggregate count data. The method is tested using data on backcountry hikers for a southern California study site and performs well for relatively small numbers of classes. The latent class model produces substantially smaller welfare estimates compared to a constrained version that assumes homogeneity throughout the population.

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  • 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.
    • Handle: RePEc:uwp:landec:v:86:y:2010:iv:1:p:800-816
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    References listed on IDEAS

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    1. Morduch, Jonathan J. & Stern, Hal S., 1997. "Using mixture models to detect sex bias in health outcomes in Bangladesh," Journal of Econometrics, Elsevier, vol. 77(1), pages 259-276, March.
    2. Daniel Hellerstein, 1995. "Welfare Estimation Using Aggregate and Individual-Observation Models: A Comparison Using Monte Carlo Techniques," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 620-630.
    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. Danielle Hagerty & Klaus Moeltner, 2005. "Specification of Driving Costs in Models of Recreation Demand," Land Economics, University of Wisconsin Press, vol. 81(1).
    5. LaFrance, Jeffrey T. & Beatty, Timothy K.M. & Pope, Rulon D., 2005. "Aggregation Theory for Incomplete Systems," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0z13s7js, Department of Agricultural & Resource Economics, UC Berkeley.
    6. Jeffrey Englin & Peter Boxall & David Watson, 1998. "Modeling Recreation Demand in a Poisson System of Equations: An Analysis of the Impact of International Exchange Rates," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 255-263.
    7. 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.
    8. Wedel, M, et al, 1993. "A Latent Class Poisson Regression Model for Heterogeneous Count Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 397-411, Oct.-Dec..
    9. von Haefen, Roger H., 2002. "A Complete Characterization Of The Linear, Log-Linear, And Semi-Log Incomplete Demand System Models," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-39, December.
    10. Moeltner, Klaus, 2003. "Addressing aggregation bias in zonal recreation models," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 128-144, January.
    11. von Haefen, Roger H. & Phaneuf, Daniel J., 2003. "Estimating preferences for outdoor recreation:: a comparison of continuous and count data demand system frameworks," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 612-630, May.
    12. 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.
    13. Jeffrey Englin & Thomas Holmes & Rebecca Niell, 2006. "Alternative Models of Recreational Off-Highway Vehicle Site Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 35(4), pages 327-338, December.
    14. 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.
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    Cited by:

    1. Stephen Hynes & William Greene, 2016. "Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 348-367, June.
    2. Mikołaj Czajkowski & Wiktor Budziński & Danny Campbell & Marek Giergiczny & Nick Hanley, 2017. "Spatial Heterogeneity of Willingness to Pay for Forest Management," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 705-727, November.
    3. Egan, Kevin J. & Corrigan, Jay R. & Dwyer, Daryl F., 2015. "Three reasons to use annual payments in contingent valuation surveys: Convergent validity, discount rates, and mental accounting," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 123-136.
    4. José Grisolía & Kenneth Willis, 2012. "A latent class model of theatre demand," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 113-139, May.
    5. Xin Yang & Michael Burton & Yinying Cai & Anlu Zhang, 2015. "Exploring Heterogeneous Preference for Farmland Non-market Values in Wuhan, Central China," Sustainability, MDPI, Open Access Journal, vol. 8(1), pages 1-13, December.
    6. Nielsen, Anne Sofie Elberg & Lundhede, Thomas Hedemark & Jacobsen, Jette Bredahl, 2016. "Local consequences of national policies - A spatial analysis of preferences for forest access reduction," Forest Policy and Economics, Elsevier, vol. 73(C), pages 68-77.
    7. Balderas Torres, Arturo & MacMillan, Douglas C. & Skutsch, Margaret & Lovett, Jon C., 2015. "Reprint of ‘Yes-in-my-backyard’: Spatial differences in the valuation of forest services and local co-benefits for carbon markets in México," Ecological Economics, Elsevier, vol. 117(C), pages 283-294.
    8. Abildtrup, Jens & Garcia, Serge & Olsen, Søren Bøye & Stenger, Anne, 2013. "Spatial preference heterogeneity in forest recreation," Ecological Economics, Elsevier, vol. 92(C), pages 67-77.
    9. Stephen Hynes & William Greene, 2013. "A Panel Travel Cost Model Accounting for Endogenous Stratification and Truncation: A Latent Class Approach," Land Economics, University of Wisconsin Press, vol. 89(1), pages 177-192.
    10. Hynes, Stephen & Greene, William, 2012. "Panel Travel Cost Count Data Models for On-Site Samples that Incorporate Unobserved Heterogeneity with Respect to the Impact of the Explanatory Variables," Working Papers 148834, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    11. Balderas Torres, Arturo & MacMillan, Douglas C. & Skutsch, Margaret & Lovett, Jon C., 2015. "‘Yes-in-my-backyard’: Spatial differences in the valuation of forest services and local co-benefits for carbon markets in México," Ecological Economics, Elsevier, vol. 109(C), pages 130-141.
    12. repec:gam:jsusta:v:8:y:2015:i:1:p:12:d:61147 is not listed on IDEAS
    13. Jørgensen, Sisse Liv & Olsen, Søren Bøye & Ladenburg, Jacob & Martinsen, Louise & Svenningsen, Stig Roar & Hasler, Berit, 2013. "Spatially induced disparities in users' and non-users' WTP for water quality improvements—Testing the effect of multiple substitutes and distance decay," Ecological Economics, Elsevier, vol. 92(C), pages 58-66.
    14. repec:kap:jrefec:v:58:y:2019:i:4:d:10.1007_s11146-018-9658-z is not listed on IDEAS

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    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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