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Assessing consumer demand with noisy neural measurements

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  • Webb, Ryan
  • Mehta, Nitin
  • Levy, Ifat

Abstract

Recent studies have used the random utility framework to examine whether neural data can assess and predict demand for consumer products, both within and across individuals. However the effectiveness of this methodology has been limited by the large degree of measurement error in neural data. The resulting “error-in-variables” problem severely biases the estimates of the relationship between neural measurements and choice behaviour, thus limiting the role such data can play in assessing marginal contributions to utility. In this article, we propose a method for controlling for this large degree of measurement error in value regions of the brain. We propose that additional neural variables from areas of the brain that are unrelated to valuation can serve as “proxies” for the measurement error in value regions, substantially alleviating the bias in model estimates. We demonstrate the feasibility of our proposed method on an existing dataset of fMRI measurements and consumer choices. We find a substantial reduction in the bias of model estimates compared to existing baseline methods (the estimated coefficients roughly double), leading to improved inference and out-of-sample demand prediction. After controlling for measurement error, we also find a considerable reduction in the variation of model estimates across consumers.

Suggested Citation

  • Webb, Ryan & Mehta, Nitin & Levy, Ifat, 2021. "Assessing consumer demand with noisy neural measurements," Journal of Econometrics, Elsevier, vol. 222(1), pages 89-106.
  • Handle: RePEc:eee:econom:v:222:y:2021:i:1:p:89-106
    DOI: 10.1016/j.jeconom.2020.07.028
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    References listed on IDEAS

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    1. Daniel L. McFadden, 2013. "The New Science of Pleasure," NBER Working Papers 18687, National Bureau of Economic Research, Inc.
    2. Wickens, Michael R, 1972. "A Note on the Use of Proxy Variables," Econometrica, Econometric Society, vol. 40(4), pages 759-761, July.
    3. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    4. Yatchew, Adonis & Griliches, Zvi, 1985. "Specification Error in Probit Models," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 134-139, February.
    5. Mel W Khaw & Denise A Grab & Michael A Livermore & Christian A Vossler & Paul W Glimcher, 2015. "The Measurement of Subjective Value and Its Relation to Contingent Valuation and Environmental Public Goods," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-19, July.
    6. McCallum, B T, 1972. "Relative Asymptotic Bias from Errors of Omission and Measurement," Econometrica, Econometric Society, vol. 40(4), pages 757-758, July.
    7. Aigner, D. J., 1974. "MSE dominance of least squares with errors-of-observation," Journal of Econometrics, Elsevier, vol. 2(4), pages 365-372, December.
    8. 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.
    9. 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.
    10. Ernst Fehr & Antonio Rangel, 2011. "Neuroeconomic Foundations of Economic Choice--Recent Advances," Journal of Economic Perspectives, American Economic Association, vol. 25(4), pages 3-30, Fall.
    11. Ryan Webb, 2019. "The (Neural) Dynamics of Stochastic Choice," Management Science, INFORMS, vol. 65(1), pages 230-255, January.
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