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Adjusting For Sample Selection Bias In The Individual Travel Cost Method

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  • I. M. Dobbs

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  • I. M. Dobbs, 1993. "Adjusting For Sample Selection Bias In The Individual Travel Cost Method," Journal of Agricultural Economics, Wiley Blackwell, vol. 44(2), pages 335-342, May.
  • Handle: RePEc:bla:jageco:v:44:y:1993:i:2:p:335-342
    DOI: 10.1111/j.1477-9552.1993.tb00276.x
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    References listed on IDEAS

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    1. 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.
    2. Brown, Gardner M, Jr & Mendelsohn, Robert, 1984. "The Hedonic Travel Cost Method," The Review of Economics and Statistics, MIT Press, vol. 66(3), pages 427-433, August.
    3. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    4. Christine Seller & John R. Stoll & Jean-Paul Chavas, 1985. "Validation of Empirical Measures of Welfare Change: A Comparison of Nonmarket Techniques," Land Economics, University of Wisconsin Press, vol. 62(2), pages 156-175.
    5. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    6. V. Kerry Smith, 1988. "Selection and Recreation Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(1), pages 29-36.
    7. Catherine L. Kling, 1988. "The Reliability of Estimates of Environmental Benefits from Recreation Demand Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(4), pages 892-901.
    8. Bell, Frederick W. & Leeworthy, Vernon R., 1990. "Recreational demand by tourists for saltwater beach days," Journal of Environmental Economics and Management, Elsevier, vol. 18(3), pages 189-205, May.
    9. K. G. Willis & G. D. Garrod, 1991. "An Individual Travel‐Cost Method Of Evaluating Forest Recreation," Journal of Agricultural Economics, Wiley Blackwell, vol. 42(1), pages 33-42, January.
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    Cited by:

    1. John Cullinan, 2011. "A Spatial Microsimulation Approach to Estimating the Total Number and Economic Value of Site Visits in Travel Cost Modelling," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 27-47, September.
    2. Zhang, Fan & Wang, Xiao Hua & Nunes, Paulo A.L.D. & Ma, Chunbo, 2015. "The recreational value of gold coast beaches, Australia: An application of the travel cost method," Ecosystem Services, Elsevier, vol. 11(C), pages 106-114.
    3. Wan-Yu Liu & Pin-Zheng Chen & Chi-Ming Hsieh, 2019. "Assessing the Recreational Value of a National Forest Park from Ecotourists’ Perspective in Taiwan," Sustainability, MDPI, vol. 11(15), pages 1-17, July.
    4. Donato Romano & Riccardo Scarpa & Fiorenza Spalatro & Laura Viganò, 2000. "Modelling Determinants of Participation, Number of Trips and Site Choice for Outdoor Recreation in Protected Areas," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(2), pages 224-238, May.
    5. Cullinan, John & Hynes, Stephen & O'Donoghue, Cathal, 2011. "Using spatial microsimulation to account for demographic and spatial factors in environmental benefit transfer," Ecological Economics, Elsevier, vol. 70(4), pages 813-824, February.
    6. Donald B. K. English, 1997. "Effects of Sample Selection on Estimates of Economic Impacts of Outdoor Recreation," The Review of Regional Studies, Southern Regional Science Association, vol. 27(3), pages 219-236, Winter.
    7. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2005. "Recreation Demand Analysis under Truncation, Overdispersion, and Endogenous Stratification: An Application to Gros Morne National Park," Econometrics 0511007, University Library of Munich, Germany.

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