Analysis of the reliability of preference ranking data
- Ben-Akiva, Moshe
- Morikawa, Takayuki
- Shiroishi, Fumiaki
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- Matthews, Yvonne & Scarpa, Riccardo & Marsh, Dan, 2017. "Using virtual environments to improve the realism of choice experiments: A case study about coastal erosion management," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 193-208.
- Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2010. "Obtaining more information from conjoint experiments by best-worst choices," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1426-1433, June.
- DeSarbo, Wayne S. & Selin Atalay, A. & Blanchard, Simon J., 2009.
"A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences,"
Computational Statistics & Data Analysis,
Elsevier, vol. 53(8), pages 3217-3230, June.
- Selin Atalay & Wayne Desarbo & Simon Blanchard, 2009. "A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences," Post-Print hal-00458377, HAL.
- Bhat, Chandra R. & Castelar, Saul, 2002. "A unified mixed logit framework for modeling revealed and stated preferences: formulation and application to congestion pricing analysis in the San Francisco Bay area," Transportation Research Part B: Methodological, Elsevier, vol. 36(7), pages 593-616, August.
- F Alpizar & F Carlsson & P Martinsson, 2003. "Using Choice Experiments for Non-Market Valuation," Economic Issues Journal Articles, Economic Issues, vol. 8(1), pages 83-110, March.
- Alpizar, Francisco & Carlsson, Fredrik & Martinsson, Peter, 2001. "Using Choice Experiments for Non-Market Valuation," Working Papers in Economics 52, University of Gothenburg, Department of Economics.
- Peter Martinsson, 2002. "Using Choice Experiments for Non-Market Valuation," EEPSEA Special and Technical Paper sp200205t2, Economy and Environment Program for Southeast Asia (EEPSEA), revised May 2002.
- Ratcliffe, Julie & Huynh, Elisabeth & Chen, Gang & Stevens, Katherine & Swait, Joffre & Brazier, John & Sawyer, Michael & Roberts, Rachel & Flynn, Terry, 2016. "Valuing the Child Health Utility 9D: Using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm," Social Science & Medicine, Elsevier, vol. 157(C), pages 48-59.
- Hong il Yoo, 2012. "The perceived unreliability of rank-ordered data: an econometric origin and implications," Discussion Papers 2012-46, School of Economics, The University of New South Wales.
- Caplan, Arthur J. & Grijalva, Therese C. & Jakus, Paul M., 2002. "Waste not or want not? A contingent ranking analysis of curbside waste disposal options," Ecological Economics, Elsevier, vol. 43(2-3), pages 185-197, December.
- Douglas J. MacNair & William H. Desvousges, 2007. "The Economics of Fish Consumption Advisories: Insights from Revealed and Stated Preference Data," Land Economics, University of Wisconsin Press, vol. 83(4), pages 600-616.
- Elie Ofek & V. Srinivasan, 2002. "How Much Does the Market Value an Improvement in a Product Attribute?," Marketing Science, INFORMS, vol. 21(4), pages 398-411, June.
- Baltas, George & Doyle, Peter, 2001. "Random utility models in marketing research: a survey," Journal of Business Research, Elsevier, vol. 51(2), pages 115-125, February.
- Yangui, Ahmed1 & Akaichi, Faiçal & Costa-Font, Montserrat & Gil, Jose Maria, 2014. "Are ranking preferences information methods comparable with the choice experiment information in predicting actual behavior?," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182672, European Association of Agricultural Economists.
- Jin Yan & Hong Il Yoo, 2017. "Semiparametric Estimation of the Random Utility Model with Rank-Ordered Choice Data," Working Papers 2017_02, Durham University Business School.
- Ben-Akiva, Moshe & Morikawa, Takayuki, 2002. "Comparing ridership attraction of rail and bus," Transport Policy, Elsevier, vol. 9(2), pages 107-116, April.
- Carlsson, Fredrik & Martinsson, Peter, 2001. "Do Hypothetical and Actual Marginal Willingness to Pay Differ in Choice Experiments?: Application to the Valuation of the Environment," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 179-192, March.
- Scarpa, Riccardo & Ruto, Eric S. K. & Kristjanson, Patti & Radeny, Maren & Drucker, Adam G. & Rege, John E. O., 2003. "Valuing indigenous cattle breeds in Kenya: an empirical comparison of stated and revealed preference value estimates," Ecological Economics, Elsevier, vol. 45(3), pages 409-426, July.
- Lam, K.Y. & Koning, A.J. & Franses, Ph.H.B.F., 2010. "Ranking Models in Conjoint Analysis," Econometric Institute Research Papers EI 2010-51, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Marsh, Dan & Phillips, Yvonne, 2012. "Difficult Choices: What Influences the Error Variance in a Choice Experiment," 2012 Conference, August 31, 2012, Nelson, New Zealand 139651, New Zealand Agricultural and Resource Economics Society.
- Boxall, Peter C. & Englin, Jeffrey & Adamowicz, Wiktor L., 2003. "Valuing aboriginal artifacts: a combined revealed-stated preference approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 213-230, March.
- Layton, David F., 2000. "Random Coefficient Models for Stated Preference Surveys," Journal of Environmental Economics and Management, Elsevier, vol. 40(1), pages 21-36, July.
- Donald R. Epley, 1997. "A Note on the Optimal Selection and Weighting of Comparable Properties," Journal of Real Estate Research, American Real Estate Society, vol. 14(2), pages 175-182.
- Teichert, Thorsten Andreas, 1997. "A model of ranked conjoint-data and implications for evaluation," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 461, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
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