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Neural antecedents of a random utility model

Author

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  • Lusk, Jayson L.
  • Crespi, John M.
  • McFadden, Brandon R.
  • Cherry, J. Bradley C.
  • Martin, Laura
  • Bruce, Amanda

Abstract

For over a decade, economists have sought to identify neural antecedents for economic theories. More recently, neuroeconomic work has sought to predict consumer choice using brain activations witnessed in non-choice, visual appraisals. This paper combines these two emerging strains of inquiry. Using functional magnetic resonance imaging (fMRI) data observed when consumers view a quality-differentiated food product labeled with different attributes, we seek to determine the predictive validity of the random utility model (RUM) often used in economic studies of consumer choice. Our fMRI data consist of changes in blood flow to the ventromedial prefrontal cortex (a brain region previously associated with value formation) observed when people saw low price and high labels and labels indicating high or low quality. We couple the fMRI data with data on 28 non-hypothetical choices made by each participant, which pitted higher priced, higher quality good vs. a lower priced, lower quality good. We find little evidence of a systematic difference in activation in brain areas thought to be associated with value formation when viewing high vs. low levels of attributes (prices and quality). However, differences in neural blood flow across participants related to quality (but not price) is significantly related to subsequent consumer choice both in- and out-of-sample, providing some qualified neuroeconomic support for the attribute-based RUM.

Suggested Citation

  • Lusk, Jayson L. & Crespi, John M. & McFadden, Brandon R. & Cherry, J. Bradley C. & Martin, Laura & Bruce, Amanda, 2016. "Neural antecedents of a random utility model," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 93-103.
  • Handle: RePEc:eee:jeborg:v:132:y:2016:i:pa:p:93-103
    DOI: 10.1016/j.jebo.2016.09.018
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    References listed on IDEAS

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    1. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    2. Knutson, Brian & Peterson, Richard, 2005. "Neurally reconstructing expected utility," Games and Economic Behavior, Elsevier, vol. 52(2), pages 305-315, August.
    3. Rishin Roy & Pradeep K. Chintagunta & Sudeep Haldar, 1996. "A Framework for Investigating Habits, “The Hand of the Past,” and Heterogeneity in Dynamic Brand Choice," Marketing Science, INFORMS, vol. 15(3), pages 280-299.
    4. Norwood, F. Bailey & Lusk, Jayson L. & Brorsen, B. Wade, 2004. "Model Selection for Discrete Dependent Variables: Better Statistics for Better Steaks," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-16, December.
    5. Tobias Börger, 2016. "Are Fast Responses More Random? Testing the Effect of Response Time on Scale in an Online Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(2), pages 389-413, October.
    6. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    7. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    8. Bailey Norwood & Matthew C. Roberts & Jayson L. Lusk, 2004. "Ranking Crop Yield Models Using Out-of-Sample Likelihood Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1032-1043.
    9. Alec Smith & B. Douglas Bernheim & Colin F. Camerer & Antonio Rangel, 2014. "Neural Activity Reveals Preferences without Choices," American Economic Journal: Microeconomics, American Economic Association, vol. 6(2), pages 1-36, May.
    10. Danny Campbell & Seda Erdem, 2015. "Position Bias in Best-worst Scaling Surveys: A Case Study on Trust in Institutions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(2), pages 526-545.
    11. Jayson L. Lusk & F. Bailey Norwood, 2011. "Animal Welfare Economics," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(4), pages 463-483.
    12. John M. Crespi & Jayson L. Lusk & J. Bradley C. Cherry & Laura E. Martin & Brandon R. McFadden & Amanda S. Bruce, 2016. "Neural Activations Associated with Decision-time and Choice in a Milk Labeling Experiment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(1), pages 74-91.
    13. DeShazo, J. R. & Fermo, German, 2002. "Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency," Journal of Environmental Economics and Management, Elsevier, vol. 44(1), pages 123-143, July.
    14. Tülin Erdem, 1996. "A Dynamic Analysis of Market Structure Based on Panel Data," Marketing Science, INFORMS, vol. 15(4), pages 359-378.
    15. Chang, Jae Bong & Lusk, Jayson L. & Norwood, F. Bailey, 2010. "The Price of Happy Hens: A Hedonic Analysis of Retail Egg Prices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(3), pages 1-18, December.
    16. Colin F. Camerer, 2007. "Neuroeconomics: Using Neuroscience to Make Economic Predictions," Economic Journal, Royal Economic Society, vol. 117(519), pages 26-42, March.
    17. Norwood, F. Bailey & Lusk, Jayson L., 2011. "Compassion, by the Pound: The Economics of Farm Animal Welfare," OUP Catalogue, Oxford University Press, number 9780199551163.
    18. David A. Hensher, 2006. "How do respondents process stated choice experiments? Attribute consideration under varying information load," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 861-878.
    19. Lusk, Jayson L. & Roosen, Jutta & Shogren, Jason (ed.), 2011. "The Oxford Handbook of the Economics of Food Consumption and Policy," OUP Catalogue, Oxford University Press, number 9780199569441.
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    Cited by:

    1. Webb, Ryan & Mehta, Nitin & Levy, Ifat, 2021. "Assessing consumer demand with noisy neural measurements," Journal of Econometrics, Elsevier, vol. 222(1), pages 89-106.

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    More about this item

    Keywords

    Attribute-based demand; Animal welfare; Choice experiment; fMRI; Neuroeconomics; Random utility;
    All these keywords.

    JEL classification:

    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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