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Eliciting Consumers Preferences Using Stated Preference Discrete Choice Models: Contingent Ranking versus Choice Experiment

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Author Info
Anna Merino
Abstract

The aim of this paper is twofold: firstly, to carry out a theoretical review of the most recent stated preference techniques used for eliciting consumers preferences and, secondly, to compare the empirical results of two dierent stated preference discrete choice approaches. They dier in the measurement scale for the dependent variable and, therefore, in the estimation method, despite both using a multinomial logit. One of the approaches uses a complete ranking of full-profiles (contingent ranking), that is, individuals must rank a set of alternatives from the most to the least preferred, and the other uses a first-choice rule in which individuals must select the most preferred option from a choice set (choice experiment). From the results we realize how important the measurement scale for the dependent variable becomes and, to what extent, procedure invariance is satisfied.

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Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 705.

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Date of creation: Jun 2003
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Handle: RePEc:upf:upfgen:705

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Related research
Keywords: Stated preferences; contingent ranking; choice experiment;

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Find related papers by JEL classification:
D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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  1. Anna Merino, 2003. "Demand for Pharmaceutical Drugs: A Choice Modelling Experiment," Economics Working Papers 704, Department of Economics and Business, Universitat Pompeu Fabra. [Downloadable!]
  2. Green, Paul E & Srinivasan, V, 1978. " Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research: An Interdisciplinary Quarterly, University of Chicago Press, vol. 5(2), pages 103-23, Se.
  3. Harry Telser & Peter Zweifel, 2002. "Measuring willingness-to-pay for risk reduction: an application of conjoint analysis," Health Economics, John Wiley & Sons, Ltd., vol. 11(2), pages 129-139. [Downloadable!]
  4. 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. [Downloadable!] (restricted)
  5. 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. [Downloadable!] (restricted)
  6. Alan Diener & Bernie O'Brien & Amiram Gafni, 1998. "Health care contingent valuation studies: a review and classification of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 7(4), pages 313-326.
  7. Anna Merino, 2003. "Demand for Pharmaceutical Drugs: A Choice Modelling Experiment," Working Papers, Research Center on Health and Economics 704, Department of Economics and Business, Universitat Pompeu Fabra. [Downloadable!]
  8. Hanley, Nick & Mourato, Susana & Wright, Robert E, 2001. " Choice Modelling Approaches: A Superior Alternative for Environmental Valuation?," Journal of Economic Surveys, Blackwell Publishing, vol. 15(3), pages 435-62, July. [Downloadable!] (restricted)
  9. Jane Hall & Patricia Kenny & Madeleine King & Jordan Louviere & Rosalie Viney & Angela Yeoh, 2002. "Using stated preference discrete choice modelling to evaluate the introduction of varicella vaccination," Health Economics, John Wiley & Sons, Ltd., vol. 11(5), pages 457-465. [Downloadable!]
  10. Mandy Ryan & Jenny Hughes, 1997. "Using Conjoint Analysis to Assess Women's Preferences for Miscarriage Management," Health Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 261-273.
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