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Theoretical And Empirical Considerations Of Eliciting Preferences And Model Estimation In Conjoint Analysis

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  • Harrison, R. Wes
  • Gillespie, Jeffrey M.
  • Fields, Deacue

Abstract

The theoretical underpinnings associated with eliciting consumer preferences and statistical properties of alternative models in conjoint analysis are examined. Results show that model selection makes little difference in the context of sign and significance of coefficients. However, results show that tobit is a better predictor of ordinal ranking relative to the probit model.

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File URL: http://purl.umn.edu/20680
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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2001 Annual meeting, August 5-8, Chicago, IL with number 20680.

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Date of creation: 2001
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Handle: RePEc:ags:aaea01:20680

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Keywords: Demand and Price Analysis;

References

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  1. Gary Crow, 1997. "Estimating the Values of Cattle Characteristics Using an Ordered Probit Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 463-476.
  2. Jill E. Hobbs, 1996. "Transaction costs and slaughter cattle procurement: Processors' selection of supply channels," Agribusiness, John Wiley & Sons, Ltd., vol. 12(6), pages 509-523.
  3. Kevin J. Boyle & Thomas P. Holmes & Mario F. Teisl & Brian Roe, 2001. "A Comparison of Conjoint Analysis Response Formats," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 441-454.
  4. Biing-Hwan Lin & Steven Payson & Jane Wertz, 1996. "Opinions of professional buyers toward organic produce: A case study of mid-Atlantic market for fresh tomatoes," Agribusiness, John Wiley & Sons, Ltd., vol. 12(1), pages 89-97.
  5. Gilbert Sylvia & Sherry L. Larkin, 1995. "Firm-level Intermediate Demand for Pacific Whiting Products: A Multi-attribute, Multi-sector Analysis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 43(3), pages 501-518, November.
  6. Catherine Halbrendt & J. Richard Bacon & John Pesek, 1992. "Weighted least squares analysis for conjoint studies: The case of hybrid striped bass," Agribusiness, John Wiley & Sons, Ltd., vol. 8(2), pages 187-198.
  7. Jeffrey Gillespie & Gary Taylor & Alvin Schupp & Ferdinand Wirth, 1998. "Opinions of professional buyers toward a new, alternative red meat: Ostrich," Agribusiness, John Wiley & Sons, Ltd., vol. 14(3), pages 247-256.
  8. Holland, Daniel S. & Roheim, Cathy A., 1998. "Predicting Consumer Preferences For Fresh Salmon: The Influence Of Safety Inspection And Production Method Attributes," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 27(1), April.
  9. Stevens, Thomas H. & Barrett, Christopher B. & Willis, Cleve E., 1997. "Conjoint Analysis Of Groundwater Protection Programs," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 26(2), October.
  10. Roe, Brian & Boyle, Kevin J. & Teisl, Mario F., 1996. "Using Conjoint Analysis to Derive Estimates of Compensating Variation," Journal of Environmental Economics and Management, Elsevier, vol. 31(2), pages 145-159, September.
  11. Harrison, R. Wes & Ozayan, Aylin & Meyers, Samuel P., 1998. "A Conjoint Analysis Of New Food Products Processed From Underutilized Small Crawfish," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 30(02), December.
  12. MacKenzie, John, 1990. "Conjoint Analysis Of Deer Hunting," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 19(2), October.
  13. Gan, Christopher E.C. & Luzar, E. Jane, 1993. "A Conjoint Analysis Of Waterfowl Hunting In Louisiana," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 25(02), December.
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