A contingent grouping approach for stated preferences
This paper introduces the theoretical and statistical foundations of contingent grouping, a variant of attribute-based stated preference methods, and checks for its implementation difficulty. Respondents are asked to simply group a number of alternatives as better or worse than a baseline or the status quo situation. A Monte Carlo approach shows that it performs statistically better than contingent choice according to the MSE criterion, and worse than contingent ranking, while a case study suggests that contingent grouping is less difficult to answer than contingent ranking. Furthermore, contingent choice shows a greater consistency in preferences with contingent grouping than with contingent ranking.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
- repec:cup:cbooks:9780521788304 is not listed on IDEAS
- Jayson L. Lusk & F. Bailey Norwood, 2005. "Effect of Experimental Design on Choice-Based Conjoint Valuation Estimates," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 771-785.
- Foster, Vivien & Mourato, Susana, 2002. "Testing for Consistency in Contingent Ranking Experiments," Journal of Environmental Economics and Management, Elsevier, vol. 44(2), pages 309-328, September.
- Cameron, Trudy Ann & Poe, Gregory L. & Ethier, Robert G. & Schulze, William D., 2002. "Alternative Non-market Value-Elicitation Methods: Are the Underlying Preferences the Same?," Journal of Environmental Economics and Management, Elsevier, vol. 44(3), pages 391-425, November.
- Herriges, Joseph A. & Kling, Catherine L., 2003. "Recreation Demand Models," Staff General Research Papers 10211, Iowa State University, Department of Economics.
- Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
- Hanley, Nick & Mourato, Susana & Wright, Robert E, 2001. " Choice Modelling Approaches: A Superior Alternative for Environmental Valuation?," Journal of Economic Surveys, Wiley Blackwell, vol. 15(3), pages 435-62, July.
- Ben-Akiva, Moshe & Morikawa, Takayuki & Shiroishi, Fumiaki, 1991. "Analysis of the reliability of preference ranking data," Journal of Business Research, Elsevier, vol. 23(3), pages 253-268, November.
- Hausman, Jerry A. & Ruud, Paul A., 1987. "Specifying and testing econometric models for rank-ordered data," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 83-104.
When requesting a correction, please mention this item's handle: RePEc:eee:resene:v:33:y:2011:i:3:p:745-755. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If references are entirely missing, you can add them using this form.