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The Impact of Water Quality on Southern California Beach Recreation: A Finite Mixture Model Approach

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  • Hilger, James
  • Hanemann, W. Michael

Abstract

This paper uses a finite mixture logit (FML) model to investigate the heterogeneity of preferences of beach users for water quality at beaches in Southern California. The results are compared with conventional approaches based conditional logit (CL) and random parameters logit (RPL). The FML approach captures variation in preferences by modeling individual recreator choices using a mixture of several distinct preference groups, where group membership is a function of individual characteristic and seasonal variables. The FML parameter estimates are used to calculate welfare measures for improvements in beach quality through a reduction of water pollution. The FML segment specific welfare measures bound the traditional CL and RPL mean welfare estimates, and have the advantage of highlighting the distribution of the population sample’s preferences. Analysis of beach recreation site choice data indicates the existence of four representative preference groups within the survey respondent sample. As a result, willingness to pay measures for improvements in water quality and other beach site attribute changes can be weighted across individuals to calculate the distribution of individual welfare measures. One group of recreators is characterized as people who go to the beach and engage in water recreation with children. An interesting finding is that this group has a lower mean WTP for improving water quality than groups who go without children. This may well be an example of cognitive dissonance: parents find they go to the beach more often than others who don’t have children, since that keeps the children occupied and happy, and they adapt their perception of the water quality to be consistent with their behavior. Previous environmental and resource economic applications of the FML have been limited to applications with small choice sets (6) and group membership variables (4). This paper extends the FML model through the estimation of a large (51) choice set with 9 membership variables. This application is the first to incorporate seasonal variables into the group membership function to capture seasonal heterogeneity. Estimated welfare changes are calculated using the compensating variation measure for several hypothetical beach closure and water quality degradation scenarios. Estimation results indicate that the FML welfare estimates differ from those calculated using the traditional logit or RPL models. The FML model sheds light onto which subsets of beach recreators are likely to be impacted by different scenarios of resource change.

Suggested Citation

  • Hilger, James & Hanemann, W. Michael, 2008. "The Impact of Water Quality on Southern California Beach Recreation: A Finite Mixture Model Approach," CUDARE Working Papers 47037, University of California, Berkeley, Department of Agricultural and Resource Economics.
    • Handle: RePEc:ags:ucbecw:47037
    DOI: 10.22004/ag.econ.47037
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    1. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    2. Ruud, Paul A., 1991. "Extensions of estimation methods using the EM algorithm," Journal of Econometrics, Elsevier, vol. 49(3), pages 305-341, September.
    3. J. Morgan Jones & Jane T. Landwehr, 1988. "Removing Heterogeneity Bias from Logit Model Estimation," Marketing Science, INFORMS, vol. 7(1), pages 41-59.
    4. Peter Arcidiacono & John Bailey Jones, 2003. "Finite Mixture Distributions, Sequential Likelihood and the EM Algorithm," Econometrica, Econometric Society, vol. 71(3), pages 933-946, May.
    5. George R. Parsons, 1991. "A Note on Choice of Residential Location in Travel Cost Demand Models," Land Economics, University of Wisconsin Press, vol. 67(3), pages 360-364.
    6. Hanemann, W. Michael, 1982. "Applied Welfare Analysis with Qualitative Response Models," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7982f0k8, Department of Agricultural & Resource Economics, UC Berkeley.
    7. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
    8. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    9. Kamel Jedidi & Harsharanjeet S. Jagpal & Wayne S. DeSarbo, 1997. "Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity," Marketing Science, INFORMS, vol. 16(1), pages 39-59.
    10. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    11. 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.
    12. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    13. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    14. Adamowicz, Wiktor & Swait, Joffre & Boxall, Peter & Louviere, Jordan & Williams, Michael, 1997. "Perceptions versus Objective Measures of Environmental Quality in Combined Revealed and Stated Preference Models of Environmental Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 32(1), pages 65-84, January.
    15. Beard, T Randolph & Caudill, Steven B & Gropper, Daniel M, 1991. "Finite Mixture Estimation of Multiproduct Cost Functions," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 654-664, November.
    16. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    17. Nick Hanley & W. Douglass Shaw & Robert E. Wright (ed.), 2003. "The New Economics of Outdoor Recreation," Books, Edward Elgar Publishing, number 2712.
    18. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    19. Moshe Ben-Akiva & Joffre Swait, 1986. "The Akaike Likelihood Ratio Index," Transportation Science, INFORMS, vol. 20(2), pages 133-136, May.
    20. Hanemann, W. Michael, 1982. "Applied Welfare Analysis with Qualitative Response Models," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7982f0k8, Department of Agricultural & Resource Economics, UC Berkeley.
    21. Mohn, Craig & Hanemann, W. Michael & Pendleton, Linwood & Layton, David, 2003. "Shifting Sands: A Preliminary Exploration of Seasonal Variation in Preferences for Beaches," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0qd37084, Department of Agricultural & Resource Economics, UC Berkeley.
    22. 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.
    23. 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..
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    1. Boudreaux, Greg & Lupi, Frank & Sohngen, Brent & Xu, Alan, 2023. "Measuring beachgoer preferences for avoiding harmful algal blooms and bacterial warnings," Ecological Economics, Elsevier, vol. 204(PA).

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