Theoretical And Empirical Considerations Of Eliciting Preferences And Model Estimation In Conjoint Analysis
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.
|Date of creation:||2001|
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- 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.
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- 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.
- 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.
- 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.
- 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.
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