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

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  • von Haefen, Roger H.
  • Phaneuf, Daniel J.

Abstract

We develop a combined, revealed and stated preference approach to identify discrete choice demand parameters in the presence of unobserved determinants of choice. Our approach overcomes difficulties associated with small choice sets, multicollinearity, and endogeneity that arise with revealed preference approaches. To illustrate our framework, we revisit two Canadian moose hunting datasets. Our empirical results suggest the potential gains from fusing revealed and stated preference data, but they also suggest its limitations when the data-generating processes for the data sources differ.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Environmental Economics and Management.

Volume (Year): 56 (2008)
Issue (Month): 1 (July)
Pages: 19-32

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Handle: RePEc:eee:jeeman:v:56:y:2008:i:1:p:19-32

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Web page: http://www.elsevier.com/locate/inca/622870

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References

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Citations

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Cited by:
  1. Michael O’Hara, 2013. "Empirical identification of perceived congestion," Empirical Economics, Springer, Springer, vol. 45(3), pages 1167-1187, December.
  2. Melstrom, Richard T. & Lupi, Frank, 2013. "Using a Control Function to Resolve the Travel Cost Endogeneity Problem in Recreation Demand Models," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C., Agricultural and Applied Economics Association 149732, Agricultural and Applied Economics Association.
  3. 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, European Association of Environmental and Resource Economists, European Association of Environmental and Resource Economists, vol. 54(4), pages 593-611, April.
  4. 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, Elsevier, vol. 62(1), pages 80-94, July.
  5. Chen, Min & Lupi, Frank, 2013. "Modeling Long Overnight Trips by Chaining Recreation Sites," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C., Agricultural and Applied Economics Association 150489, Agricultural and Applied Economics Association.
  6. O. Ashton Morgan & John C. Whitehead & William L. Huth & Gregory S. Martin & Richard Sjolander, 2013. "Accounting for Heterogeneity in Behavioral Responses to Health-Risk Information Treatments," Working Papers, Department of Economics, Appalachian State University 13-05, Department of Economics, Appalachian State University.
  7. Abildtrup, Jens & Garcia, Serge & Olsen, Søren Bøye & Stenger, Anne, 2013. "Spatial preference heterogeneity in forest recreation," Ecological Economics, Elsevier, Elsevier, vol. 92(C), pages 67-77.
  8. 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, Agricultural and Applied Economics Association 49449, Agricultural and Applied Economics Association.
  9. Chen, Min, 2009. "Does Economic Endogeneity of Site Facilities in Recreation Demand Models Lead to Statistical Endogeneity?," Graduate Research Masters Degree Plan B Papers, Michigan State University, Department of Agricultural, Food, and Resource Economics 55808, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  10. 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, Elsevier, vol. 19(3), pages 234-248.

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