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Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand

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  • Daniel J. Phaneuf
  • Catherine L. Kling
  • Joseph A. Herriges

Abstract

The Kuhn-Tucker model provides a utility theoretic framework for estimating preferences over commodities for which individuals choose not to consume one or more of the goods. This paper provides an application of the Kuhn-Tucker model to the problem of recreation demand and site selection, modeling the demand for fishing in the Wisconsin Great Lakes region.

Suggested Citation

  • Daniel J. Phaneuf & Catherine L. Kling & Joseph A. Herriges, 1998. "Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand," Center for Agricultural and Rural Development (CARD) Publications 99-wp207, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  • Handle: RePEc:ias:cpaper:99-wp207
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    1. Fortin, Bernard & Lacroix, Guy, 1994. "Labour supply, tax evasion and the marginal cost of public funds an empirical investigation," Journal of Public Economics, Elsevier, vol. 55(3), pages 407-431, November.
    2. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    3. Fulginiti, Lilyan & Perrin, Richard, 1993. "The Theory and Measurement of Producer Response under Quotas," The Review of Economics and Statistics, MIT Press, vol. 75(1), pages 97-106, February.
    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. 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.
    6. 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.
    7. Herman J. Bierens & A. R. Gallant (ed.), 1997. "Nonlinear Models," Books, Edward Elgar Publishing, volume 0, number 878.
    8. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    9. 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.
    10. 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.
    11. Lacroix, Guy & Fortin, Bernard, 1992. "Utility-Based Estimation of Labour Supply Functions in the Regular and Irregular Sectors," Economic Journal, Royal Economic Society, vol. 102(415), pages 1407-1422, November.
    12. Parsons George R. & Kealy Mary Jo, 1995. "A Demand Theory for Number of Trips in a Random Utility Model of Recreation," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 357-367, November.
    13. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
    14. Morey, Edward R. & Shaw, W. Douglass & Rowe, Robert D., 1991. "A discrete-choice model of recreational participation, site choice, and activity valuation when complete trip data are not available," Journal of Environmental Economics and Management, Elsevier, vol. 20(2), pages 181-201, March.
    15. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-112, February.
    16. Feather Peter & Hellerstein Daniel & Tomasi Theodore, 1995. "A Discrete-Count Model of Recreational Demand," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 214-227, September.
    17. 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.
    18. 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.
    19. V. Kerry Smith, 1988. "Selection and Recreation Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(1), pages 29-36.
    20. 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.
    21. Mark M. Pitt & Daniel L. Millimet, 1999. "Estimation of Coherent Demand Systems with Many Binding Non-Negativity Constraints," Working Papers 99-4, Brown University, Department of Economics.
    22. 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.
    23. Joseph A. Herriges & Catherine L. Kling, 1999. "Nonlinear Income Effects in Random Utility Models," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 62-72, February.
    24. James Tobin, 1956. "Estimation of Relationships for Limited Dependent Variables," Cowles Foundation Discussion Papers 3R, Cowles Foundation for Research in Economics, Yale University.
    25. 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.
    26. 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.
    27. Lee, Lung-Fei & Pitt, Mark M, 1986. "Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach," Econometrica, Econometric Society, vol. 54(5), pages 1237-1242, September.
    28. 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.
    29. Daniel McFadden, 1996. "Computing Willingness-to-Pay in Random Utility Models," Working Papers _011, University of California at Berkeley, Econometrics Laboratory Software Archive.
    30. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1.
    31. 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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