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Modeling single individuals: the journey from psych lab to the app store

In: Choice Modelling

Author

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  • Jordan J. Louviere

Abstract

Choice modelling has been one of the most active fields in economics over recent years. This valuable new book contains leading contributions from academics and practitioners from across the different areas of study where choice modelling is a key analytical technique, drawn from a recent international conference.

Suggested Citation

  • Jordan J. Louviere, 2013. "Modeling single individuals: the journey from psych lab to the app store," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 1, pages 1-47, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:15006_1
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    File URL: https://www.elgaronline.com/view/9781781007266.00006.xml
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    References listed on IDEAS

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    1. Linda Court Salisbury & Fred M. Feinberg, 2010. "Alleviating the Constant Stochastic Variance Assumption in Decision Research: Theory, Measurement, and Experimental Test," Marketing Science, INFORMS, vol. 29(1), pages 1-17, 01-02.
    2. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    3. Green, Paul E, 1974. "On the Design of Choice Experiments Involving Multifactor Alternatives," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 1(2), pages 61-68, Se.
    4. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, October.
    5. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. "Constructive Consumer Choice Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 187-217, December.
    6. John R. Hauser, 1978. "Consumer Preference Axioms: Behavioral Postulates for Describing and Predicting Stochastic Choice," Management Science, INFORMS, vol. 24(13), pages 1331-1341, September.
    7. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    8. Hensher, David & Louviere, Jordan & Swait, Joffre, 1998. "Combining sources of preference data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 197-221, November.
    9. 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.
    10. Bettman, James R & Zins, Michel A, 1977. "Constructive Processes in Consumer Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(2), pages 75-85, Se.
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    Cited by:

    1. Terry Flynn & Marcel Bilger & Chetna Malhotra & Eric Finkelstein, 2016. "Are Efficient Designs Used in Discrete Choice Experiments Too Difficult for Some Respondents? A Case Study Eliciting Preferences for End-of-Life Care," PharmacoEconomics, Springer, vol. 34(3), pages 273-284, March.
    2. Lipovetsky, Stan & Conklin, Michael, 2014. "Finding items cannibalization and synergy by BWS data," Journal of choice modelling, Elsevier, vol. 12(C), pages 1-9.
    3. Balbontin, C. & Ortúzar, J. de D. & Swait, J.D., 2015. "A joint best–worst scaling and stated choice model considering observed and unobserved heterogeneity: An application to residential location choice," Journal of choice modelling, Elsevier, vol. 16(C), pages 1-14.
    4. Terry N. Flynn & Marcel Bilger & Chetna Malhotra & Eric A. Finkelstein, 2016. "Are Efficient Designs Used in Discrete Choice Experiments Too Difficult for Some Respondents? A Case Study Eliciting Preferences for End-of-Life Care," PharmacoEconomics, Springer, vol. 34(3), pages 273-284, March.

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