Adjusting For Sample Selection Bias In The Individual Travel Cost Method
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DOI: 10.1111/j.1477-9552.1993.tb00276.x
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References listed on IDEAS
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Citations
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- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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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