Intertemporal data and travel cost analysis
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DOI: 10.1007/BF00338785
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Cited by:
- Jeffrey Englin & Trudy Cameron, 1996. "Augmenting travel cost models with contingent behavior data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 7(2), pages 133-147, March.
- Salvador Barrios & J. Nicolás Ibañez Rivas, 2014. "Climate Amenities and Adaptation to Climate Change: A Hedonic-Travel Cost Approach for Europe," Working Papers 2014.20, Fondazione Eni Enrico Mattei.
- Starbuck, C.M.C. Meghan & Alexander, Susan J. & Berrens, Robert P. & Bohara, Alok K., 2004. "Valuing special forest products harvesting:: a two-step travel cost recreation demand analysis," Journal of Forest Economics, Elsevier, vol. 10(1), pages 37-53, May.
- Salvador Barrios & J. Ibañez, 2015.
"Time is of the essence: adaptation of tourism demand to climate change in Europe,"
Climatic Change,
Springer, vol. 132(4), pages 645-660, October.
- Salvador Barrios & J. Nicolás Ibañez, 2014. "Time is of the Essence: Adaptation of Tourism Demand to Climate Change in Europe," Working Papers 2014.19, Fondazione Eni Enrico Mattei.
- Salvador Barrios & Juan Nicolas Ibañez Rivas, 2013. "Tourism demand, climatic conditions and transport costs: an integrated analysis for EU regions," JRC Working Papers JRC80898, Joint Research Centre (Seville site).
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Keywords
travel cost analysis; count models; intertemporal data; Boundary Waters Canoe Area; multiple cross section; random effects; fixed effects;Statistics
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