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Specification of Driving Costs in Models of Recreation Demand

  • Danielle Hagerty
  • Klaus Moeltner

Existing recreation demand models have paid much attention to the heterogeneous nature of the opportunity cost of time, but generally stipulate constant per mile costs in access price specifications. This study proposes two alternative approaches to introduce user-specific driving costs into recreation demand models. The first approach is based on a refined measurement of driving costs based on engineering considerations. The second strategy estimates perceived per mile cost as a function of vehicle attributes in an empirical framework. We find strong evidence that driving costs are a visitor-specific concept, and that prescribed and perceived costs differ substantially. However, welfare measures generated by these alternative specifications are not statistically different from those produced by the standard model in our application of jet skiing in the Lake Tahoe region.

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File URL: http://le.uwpress.org/cgi/reprint/81/1/127
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Article provided by University of Wisconsin Press in its journal Land Economics.

Volume (Year): 81 (2005)
Issue (Month): 1 ()
Pages:

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Handle: RePEc:uwp:landec:v:81:y:2005:i:1:p127-143
Contact details of provider: Web page: http://le.uwpress.org/

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  1. Englin, Jeffrey & Mendelsohn, Robert, 1991. "A hedonic travel cost analysis for valuation of multiple components of site quality: The recreation value of forest management," Journal of Environmental Economics and Management, Elsevier, vol. 21(3), pages 275-290, November.
  2. Cameron, A.C. & Windmeijer, F.A.G., 1993. "R-Squared Measures for Count Data Regression Models with Applications to Health Care Utilization," Papers 93-24, California Davis - Institute of Governmental Affairs.
  3. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
  4. Feather, Peter & Shaw, W. Douglass, 1998. "Estimating The Cost Of Leisure Time For Recreation Demand Models," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20855, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  5. Jeffrey T. LaFrance, 1990. "Incomplete Demand Systems And Semilogarithmic Demand Models," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 34(2), pages 118-131, 08.
  6. Englin, Jeffrey & Lambert, David & Shaw, W. Douglass, 1997. "A Structural Equations Approach to Modeling Consumptive Recreation Demand," Journal of Environmental Economics and Management, Elsevier, vol. 33(1), pages 33-43, May.
  7. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
  8. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
  9. Jeffrey T. LaFrance & W. Michael Hanemann, 1989. "The Dual Structure of Incomplete Demand Systems," Monash Economics Working Papers archive-21, Monash University, Department of Economics.
  10. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
  11. W. Douglass Shaw, 1992. "Searching for the Opportunity Cost of an Individual's Time," Land Economics, University of Wisconsin Press, vol. 68(1), pages 107-115.
  12. W. Douglass Shaw & Peter Feather, 1999. "Possibilities for Including the Opportunity Cost of Time in Recreation Demand Systems," Land Economics, University of Wisconsin Press, vol. 75(4), pages 592-602.
  13. J. Shonkwiler & Nick Hanley, 2003. "A New Approach to Random Utility Modeling using the Dirichlet Multinomial Distribution," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 26(3), pages 401-416, November.
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  15. Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
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