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Identifying demand parameters in the presence of unobservables: A combined revealed and stated preference approach

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Cited by:

  1. David A. Keiser, 2018. "The Missing Benefits of Clean Water and the Role of Mismeasured Pollution," Center for Agricultural and Rural Development (CARD) Publications 18-wp581, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  2. Volinskiy, Dmitriy & Adamowicz, Wiktor L. & Veeman, Michele, 2011. "Predicting versus testing: a conditional cross-forecasting accuracy measure for hypothetical bias," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(3), pages 1-22, September.
  3. Michael O’Hara, 2013. "Empirical identification of perceived congestion," Empirical Economics, Springer, vol. 45(3), pages 1167-1187, December.
  4. Helveston, John Paul & Feit, Elea McDonnell & Michalek, Jeremy J., 2018. "Pooling stated and revealed preference data in the presence of RP endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 70-89.
  5. Adelina Gschwandtner & Jose Eduardo Ribeiro & Cesar Revoredo-Giha & Michael Burton, 2021. "Combining Stated and Revealed Preferences for valuing Organic Chicken Meat," Studies in Economics 2113, School of Economics, University of Kent.
  6. Melstrom, Richard T. & Vasarhelyi, Leah, 2019. "Modeling recreation demand and fees at national parks," Annals of Tourism Research, Elsevier, vol. 77(C), pages 175-178.
  7. Hocheol Jeon & Joseph A. Herriges, 2017. "Combining Revealed Preference Data with Stated Preference Data: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1053-1086, December.
  8. O. Morgan & John Whitehead & William Huth & Greg Martin & Richard Sjolander, 2013. "A Split-Sample Revealed and Stated Preference Demand Model to Examine Homogenous Subgroup Consumer Behavior Responses to Information and Food Safety Technology Treatments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(4), pages 593-611, April.
  9. John C. Whitehead & Daniel K. Lew, 2020. "Estimating recreation benefits through joint estimation of revealed and stated preference discrete choice data," Empirical Economics, Springer, vol. 58(4), pages 2009-2029, April.
  10. 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.
  11. H. Allen Klaiber & Roger H. von Haefen, 2019. "Do Random Coefficients and Alternative Specific Constants Improve Policy Analysis? An Empirical Investigation of Model Fit and Prediction," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 75-91, May.
  12. O. Ashton Morgan & John C. Whitehead & William L. Huth, 2016. "Accounting for heterogeneity in behavioural responses to health-risk information treatments," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 5(3), pages 283-297, September.
  13. Richard T. Melstrom & Deshamithra H. W. Jayasekera, 2017. "Two-Stage Estimation to Control for Unobservables in a Recreation Demand Model with Unvisited Sites," Land Economics, University of Wisconsin Press, vol. 93(2), pages 328-341.
  14. Melstrom, Richard & Lupi, Frank, 2012. "Using a Control Function to Resolve the Travel Cost Endogeneity Problem in Recreation Demand Models," MPRA Paper 48036, University Library of Munich, Germany, revised May 2013.
  15. Chen, Min, 2009. "Does Economic Endogeneity of Site Facilities in Recreation Demand Models Lead to Statistical Endogeneity?," Graduate Research Master's Degree Plan B Papers 55808, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  16. Phaneuf, Daniel J. & Carbone, Jared C. & Herriges, Joseph A., 2009. "Non-price equilibria for non-marketed goods," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 45-64, January.
  17. Cheng, Li & Lupi, Frank, 2016. "Combining Revealed and Stated Preference Methods for Valuing Water Quality Changes to Great Lakes Beaches," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235746, Agricultural and Applied Economics Association.
  18. Chen, Min & Lupi, Frank, 2013. "Modeling Long Overnight Trips by Chaining Recreation Sites," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150489, Agricultural and Applied Economics Association.
  19. Juan M. Gonzalez Sepulveda & F. Reed Johnson & Deborah A. Marshall, 2021. "Incomplete information and irrelevant attributes in stated‐preference values for health interventions," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2637-2648, November.
  20. Hoyos, David & Riera, Pere, 2013. "Convergent validity between revealed and stated recreation demand data: Some empirical evidence from the Basque Country, Spain," Journal of Forest Economics, Elsevier, vol. 19(3), pages 234-248.
  21. Coote, Leonard V. & Swait, Joffre & Adamowicz, Wiktor, 2021. "Separating generalizable from source-specific preference heterogeneity in the fusion of revealed and stated preferences," Journal of choice modelling, Elsevier, vol. 40(C).
  22. Richard C. Bishop & Kevin J. Boyle, 2021. "On Adding-Up as a Validity Criterion for Stated-Preference Studies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 587-601, November.
  23. Fooks, Jacob R. & Messer, Kent D. & Duke, Joshua M. & Johnson, Janet B. & Parsons, George R., 2017. "Continuous attribute values in a simulation environment: Offshore energy production and Mid-Atlantic beach visitation," Energy Policy, Elsevier, vol. 110(C), pages 288-302.
  24. Abildtrup, Jens & Garcia, Serge & Olsen, Søren Bøye & Stenger, Anne, 2013. "Spatial preference heterogeneity in forest recreation," Ecological Economics, Elsevier, vol. 92(C), pages 67-77.
  25. Rashedi, Zohreh & Mahmoud, Mohamed & Hasnine, Sami & Habib, Khandker Nurul, 2017. "On the factors affecting the choice of regional transit for commuting in Greater Toronto and Hamilton Area: Application of an advanced RP-SP choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 1-13.
  26. Melstrom, Richard T. & Lee, Kangil & Byl, Jacob P., 2016. "The effect of endangered species regulations on local employment: Evidence from the listing of the lesser prairie chicken," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236254, Agricultural and Applied Economics Association.
  27. Norwood, F. Bailey & Lusk, Jayson L., 2011. "A calibrated auction-conjoint valuation method: Valuing pork and eggs produced under differing animal welfare conditions," Journal of Environmental Economics and Management, Elsevier, vol. 62(1), pages 80-94, July.
  28. Paul Hindsley & Craig E. Landry & Kurt Schnier & John C. Whitehead & Mohammadreza Zarei, 2021. "Joint Estimation of Revealed Preference Site Selection and Stated Preference Choice Experiment Recreation Data Considering Attribute NonAttendance," Working Papers 21-10, Department of Economics, Appalachian State University.
  29. Sturla F. Kvamsdal & Ivan Belik & Arnt Ove Hopland & Yuanhao Li, 2021. "A Machine Learning Analysis of the Recent Environmental and Resource Economics Literature," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(1), pages 93-115, May.
  30. Daniel J. Phaneuf & Laura O. Taylor & John B. Braden, 2013. "Combining Revealed and Stated Preference Data to Estimate Preferences for Residential Amenities: A GMM Approach," Land Economics, University of Wisconsin Press, vol. 89(1), pages 30-52.
  31. John C. Whitehead & Subhrendu K. Pattanayak & George L. Van Houtven & Brett R. Gelso, 2008. "Combining Revealed And Stated Preference Data To Estimate The Nonmarket Value Of Ecological Services: An Assessment Of The State Of The Science," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 872-908, December.
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