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Does economic endogeneity of site facilities in recreation demand models lead to statistical endogeneity?

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  • Chen, Min
  • Lupi, Frank

Abstract

Different kinds of endogeneity problems in Random Utility Models of recreation demand have been studied in previous literature. Some site characteristics, like facilities, could be endogenous in an economic sense due to the interplay of supply and demand. That is, it may be that more popular recreation sites tend to have better site characteristics since managers with limited budgets would be more willing to invest in them. If recreation site improvements are more likely to occur at the more popular sites, then might this economic endogeneity cause problems for econometric models linking site demand to facilities. In this paper, we use Monte Carlo simulations to test whether this economic endogeneity will lead to statistical endogeneity.

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  • Chen, Min & Lupi, Frank, 2009. "Does economic endogeneity of site facilities in recreation demand models lead to statistical endogeneity?," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49449, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea09:49449
    DOI: 10.22004/ag.econ.49449
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    1. Timmins, Christopher & Murdock, Jennifer, 2007. "A revealed preference approach to the measurement of congestion in travel cost models," Journal of Environmental Economics and Management, Elsevier, vol. 53(2), pages 230-249, March.
    2. Haab, Timothy C. & Hicks, Robert L., 1997. "Accounting for Choice Set Endogeneity in Random Utility Models of Recreation Demand," Journal of Environmental Economics and Management, Elsevier, vol. 34(2), pages 127-147, October.
    3. von Haefen, Roger H. & Phaneuf, Daniel J., 2008. "Identifying demand parameters in the presence of unobservables: A combined revealed and stated preference approach," Journal of Environmental Economics and Management, Elsevier, vol. 56(1), pages 19-32, July.
    4. Lew, Daniel K. & Larson, Douglas M., 2005. "Accounting for stochastic shadow values of time in discrete-choice recreation demand models," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 341-361, September.
    5. Wetzel, James N., 1977. "Estimating the benefits of recreation under conditions of congestion," Journal of Environmental Economics and Management, Elsevier, vol. 4(3), pages 239-246, September.
    6. W. Bowman Cutter & Linwood Pendleton & J. R. DeShazo, 2007. "Activities in Models of Recreational Demand," Land Economics, University of Wisconsin Press, vol. 83(3), pages 370-381.
    7. McConnell, K. E. & Duff, Virginia A., 1976. "Estimating net benefits of recreation under conditions of excess demand," Journal of Environmental Economics and Management, Elsevier, vol. 2(3), pages 224-230, February.
    8. Daniel Hellerstein, 2005. "Modeling Discrete Choice with Uncertain Data: An Augmented MNL Estimator," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 77-84.
    9. Peter P. Caulkins & Richard C. Bishop & Nicolaas W. Bouwes, 1985. "Omitted Cross-Price Variable Biases in the Linear Travel Cost Model: Correcting Common Misperceptions," Land Economics, University of Wisconsin Press, vol. 62(2), pages 182-187.
    10. P. Geoffrey Allen & Thomas H. Stevens & Scott A. Barrett, 1981. "The Effects of Variable Omission in the Travel Cost Technique," Land Economics, University of Wisconsin Press, vol. 57(2), pages 173-180.
    11. Roger Haefen, 2008. "Latent Consideration Sets and Continuous Demand Systems," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(3), pages 363-379, November.
    12. Murdock, Jennifer, 2006. "Handling unobserved site characteristics in random utility models of recreation demand," Journal of Environmental Economics and Management, Elsevier, vol. 51(1), pages 1-25, January.
    13. Robert L. Hicks & Kurt E. Schnier, 2006. "Dynamic Random Utility Modeling: A Monte Carlo Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 816-835.
    14. Averil Cook, 2008. "Recreation Value of a New Long-Distance Walking Track," Tourism Economics, , vol. 14(2), pages 377-391, June.
    15. Roger H. von Haefen & D. Matthew Massey & Wiktor L. Adamowicz, 2005. "Serial Nonparticipation in Repeated Discrete Choice Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1061-1076.
    16. 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.
    17. Russell L. Gum & William E. Martin, 1975. "Problems and Solutions in Estimating the Demand for and Value of Rural Outdoor Recreation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(4), pages 558-566.
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    1. Backstrom, Jesse D. & Woodward, Richard T., 2017. "Using Qualitative Site Characteristics Data in Marine Recreational Fishing Models: A New Site Aggregation Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258276, Agricultural and Applied Economics Association.

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