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Generalized corner solution models in recreation demand

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  • Phaneuf, Daniel James

Abstract

When examining consumer behavior using household level data, it is typical in many applications to find that consumers consume only a subset of the available goods, setting their demand to zero for the remaining goods. Examples of this include labor supply and food demand, as well as the demand for Leisure Studies; In multiple site recreation demand data sets, one usually observes that individuals visit only a subset of the available recreation sites, yet visit these sites multiple times during a season. Theoretically, these corner solutions are effectively modeled using non-negativity constraints in the utility maximization problem. Empirically estimating such a model is more challenging however, since most econometric techniques rely on the assumption of an interior solution;This dissertation examines estimation of generalized corner solution models of consumer choice as they apply to recreation demand. The emphasis is on providing utility consistent characterizations of the demand for recreation, which can then be used to perform welfare analysis. Specifically, the Kuhn-Tucker model of Wales and Woodland (1983) and the dual approach of Lee and Pitt (1986) are estimated for a four site recreation model. Welfare measurement techniques are developed for each, relying on Monte Carlo integration to arrive at consistent estimates of the compensating variation associated with changes in site attributes or the elimination of a site;The application focuses on the demand for fishing in the Wisconsin Great Lakes region. Data is available describing angler behavior during the 1989 fishing season, including both users and non-users of the Great Lakes fishery. Variables describing catch rates for the major sport fishing species, as well as pollution levels in the lakes, are included in the estimation. Welfare experiments are conducted by analyzing the effects of hypothetical changes in the quality variables;This research will be of interest not only to those working in recreation demand and resource valuation, but also those working in other areas of consumer choice, where the use of household level data is becoming more prevalent and operational methods for dealing with corner solutions are necessary.

Suggested Citation

  • Phaneuf, Daniel James, 1997. "Generalized corner solution models in recreation demand," ISU General Staff Papers 1997010108000013022, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genstf:1997010108000013022
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    1. Douglas M. Larson, 1993. "Joint Recreation Choices and Implied Values of Time," Land Economics, University of Wisconsin Press, vol. 69(3), pages 270-286.
    2. Yoshiaki Kaoru & V. Kerry Smith & Jin Long Liu, 1995. "Using Random Utility Models to Estimate the Recreational Value of Estuarine Resources," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 141-151.
    3. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    4. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
    5. Kling, Catherine L., 1988. "Comparing welfare estimates of environmental quality changes from recreation demand models," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 331-340, September.
    6. 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.
    7. Michael D. Creel & John B. Loomis, 1990. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 434-441.
    8. Kling, Catherine L. & Bockstael, Nancy & Hanemann, W. Michael, 1987. "Estimating the Value of Water Quality Improvements in a Recreational Demand Framework," Staff General Research Papers Archive 1594, Iowa State University, Department of Economics.
    9. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    10. Herriges, Joseph A. & Kling, Catherine L., 1996. "Testing the consistency of nested logit models with utility maximization," Economics Letters, Elsevier, vol. 50(1), pages 33-39, January.
    11. C.L. Kling & J.R. Crooker, 1999. "Recreation Demand Models for Environmental Valuation," Chapters, in: Jeroen C.J.M. van den Bergh (ed.), Handbook of Environmental and Resource Economics, chapter 52, Edward Elgar Publishing.
    12. Peter P. Caulkins & Richard C. Bishop & Nicolaas W. Bouwes, 1986. "The Travel Cost Model for Lake Recreation: A Comparison of Two Methods for Incorporating Site Quality and Substitution Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(2), pages 291-297.
    13. Kling, Catherine L., 1989. "The Importance Of Functional Form In The Estimation Of Welfare," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(1), pages 1-7, July.
    14. Catherine L. Kling & Joseph A. Herriges, 1995. "An Empirical Investigation of the Consistency of Nested Logit Models with Utility Maximization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 875-884.
    15. Ransom, Michael R, 1987. "An Empirical Model of Discrete and Continuous Choice in Family Labor Supply," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 465-472, August.
    16. Van Soest, Arthur & Kooreman, Peter, 1990. "Coherency of the indirect translog demand system with binding nonnegativity constraints," Journal of Econometrics, Elsevier, vol. 44(3), pages 391-400, June.
    17. Morey, Edward R, 1984. "The Choice of Ski Areas: Estimation of a Generalized CES Preference Ordering with Characteristics," The Review of Economics and Statistics, MIT Press, vol. 66(4), pages 584-590, November.
    18. K. E. McConnell, 1992. "On-Site Time in the Demand for Recreation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 918-925.
    19. V. Kerry Smith & William H. Desvousges & Matthew P. McGivney, 1983. "The Opportunity Cost of Travel Time in Recreation Demand Models," Land Economics, University of Wisconsin Press, vol. 59(3), pages 259-278.
    20. Kenneth E. McConnell & Ivar Strand, 1981. "Measuring the Cost of Time in Recreation Demand Analysis: An Application to Sportfishing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 153-156.
    21. Edward R. Morey & Robert D. Rowe & Michael Watson, 1993. "A Repeated Nested-Logit Model of Atlantic Salmon Fishing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 578-592.
    22. Amemiya, Takeshi, 1974. "Multivariate Regression and Simultaneous Equation Models when the Dependent Variables Are Truncated Normal," Econometrica, Econometric Society, vol. 42(6), pages 999-1012, November.
    23. Geweke, John, 1996. "Monte carlo simulation and numerical integration," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 15, pages 731-800, Elsevier.
    24. Ransom, Michael R, 1987. "The Labor Supply of Married Men: A Switching Regressions Model," Journal of Labor Economics, University of Chicago Press, vol. 5(1), pages 63-75, January.
    25. Daniel Hellerstein & Robert Mendelsohn, 1993. "A Theoretical Foundation for Count Data Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 604-611.
    26. Lee, Lung-Fei & Pitt, Mark M., 1987. "Microeconometric models of rationing, imperfect markets, and non-negativity constraints," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 89-110.
    27. William G. Brown & Farid Nawas, 1973. "Impact of Aggregation on the Estimation of Outdoor Recreation Demand Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(2), pages 246-249.
    28. Edward R. Morey & Donald Waldman & Djeto Assane & Douglass Shaw, 1995. "Searching for a Model of Multiple-Site Recreation Demand that Admits Interior and Boundary Solutions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 129-140.
    29. Jeongwen Chiang, 1991. "A Simultaneous Approach to the Whether, What and How Much to Buy Questions," Marketing Science, INFORMS, vol. 10(4), pages 297-315.
    30. Hausman, Jerry A. & Leonard, Gregory K. & McFadden, Daniel, 1995. "A utility-consistent, combined discrete choice and count data model Assessing recreational use losses due to natural resource damage," Journal of Public Economics, Elsevier, vol. 56(1), pages 1-30, January.
    31. Chiang, Jeongwen & Lee, Lung-Fei, 1992. "Discrete/continuous models of consumer demand with binding nonnegativity constraints," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 79-93.
    32. Nancy E. Bockstael & Ivar E. Strand, Jr. & Kenneth E. McConnell & Firuzeh Arsanjani, 1990. "Sample Selection Bias in the Estimation of Recreation Demand Functions: An Application to Sportfishing," Land Economics, University of Wisconsin Press, vol. 66(1), pages 40-49.
    33. Yen, Steven & Adamowicz, Wiktor L., 1994. "Participation, Trip Frequency and Site Choice: A Multinomial-Poisson Hurdle Model of Recreation Demand," Staff General Research Papers Archive 764, Iowa State University, Department of Economics.
    34. W. Michael Hanemann, 1984. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 332-341.
    35. Julie A. Hewitt & W. Michael Hanemann, 1995. "A Discrete/Continuous Choice Approach to Residential Water Demand under Block Rate Pricing," Land Economics, University of Wisconsin Press, vol. 71(2), pages 173-192.
    36. Nancy E. Bockstael & Ivar E. Strand, Jr., 1987. "The Effect of Common Sources of Regression Error on Benefit Estimates," Land Economics, University of Wisconsin Press, vol. 63(1), pages 11-20.
    37. Nancy E. Bockstael & Ivar E. Strand & W. Michael Hanemann, 1987. "Time and the Recreational Demand Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(2), pages 293-302.
    38. Larson, Douglas M. & Shaikh, Sabina L. & Loomis, John B., 1997. "A Two-Constraint AIDS Model of Recreation Demand and the Value of Leisure Time," 1997 Annual Meeting, July 13-16, 1997, Reno\ Sparks, Nevada 35745, Western Agricultural Economics Association.
    39. Srinivasan, T C & Winer, Russell S, 1994. "Using Neoclassical Consumer-Choice Theory to Produce a Market Map from Purchase Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(1), pages 1-9, January.
    40. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    41. George R. Parsons & Mary Jo Kealy, 1992. "Randomly Drawn Opportunity Sets in a Random Utility Model of Lake Recreation," Land Economics, University of Wisconsin Press, vol. 68(1), pages 93-106.
    42. Douglas M. Larson, 1993. "Separability and the Shadow Value of Leisure Time," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 572-577.
    43. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1.
    44. George R. Parsons & Michael S. Needelman, 1992. "Site Aggregation in a Random Utility Model of Recreation," Land Economics, University of Wisconsin Press, vol. 68(4), pages 418-433.
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