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The ability of ratings and choice conjoint to predict market shares: a Monte Carlo simulation

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  • Chakraborty, Goutam
  • Ball, Dwayne
  • Gaeth, Gary J.
  • Jun, Sunkyu

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  • Chakraborty, Goutam & Ball, Dwayne & Gaeth, Gary J. & Jun, Sunkyu, 2002. "The ability of ratings and choice conjoint to predict market shares: a Monte Carlo simulation," Journal of Business Research, Elsevier, vol. 55(3), pages 237-249, March.
    • Handle: RePEc:eee:jbrese:v:55:y:2002:i:3:p:237-249
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    References listed on IDEAS

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    1. Chakraborty, Goutam & Woodworth, George & Gaeth, Gary J. & Ettenson, Richard, 1992. "Screening for interactions between design factors and demographics in choice-based conjoint," Journal of Business Research, Elsevier, vol. 24(2), pages 115-133, March.
    2. Michael R. Hagerty, 1986. "The Cost of Simplifying Preference Models," Marketing Science, INFORMS, vol. 5(4), pages 298-319.
    3. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    4. Michael R. Hagerty, 1986. "Reply—Reflections on the Cost of Simplifying Preference Models," Marketing Science, INFORMS, vol. 5(4), pages 323-324.
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    Cited by:

    1. Jessica Zeiss & Les Carlson & A. Dwayne Ball, 2021. "Uncalculated first‐party externalities given a beverage tax," Social Science Quarterly, Southwestern Social Science Association, vol. 102(6), pages 2706-2717, November.
    2. Maren Hein & Peter Kurz & Winfried J. Steiner, 2020. "Analyzing the capabilities of the HB logit model for choice-based conjoint analysis: a simulation study," Journal of Business Economics, Springer, vol. 90(1), pages 1-36, February.
    3. Emma McIntosh, 2006. "Using Discrete Choice Experiments within a Cost-Benefit Analysis Framework," PharmacoEconomics, Springer, vol. 24(9), pages 855-868, September.
    4. Hein, Maren & Goeken, Nils & Kurz, Peter & Steiner, Winfried J., 2022. "Using Hierarchical Bayes draws for improving shares of choice predictions in conjoint simulations: A study based on conjoint choice data," European Journal of Operational Research, Elsevier, vol. 297(2), pages 630-651.
    5. Sethuraman, Raj & Kerin, Roger A. & Cron, William L., 2005. "A field study comparing online and offline data collection methods for identifying product attribute preferences using conjoint analysis," Journal of Business Research, Elsevier, vol. 58(5), pages 602-610, May.
    6. Henrik Sattler, 2006. "Methoden zur Messung von Präferenzen für Innovationen," Schmalenbach Journal of Business Research, Springer, vol. 58(54), pages 154-176, January.

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