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Non-Choice Evaluations Predict Behavioral Responses to Changes in Economic Conditions

Author

Listed:
  • B. Douglas Bernheim
  • Daniel Bjorkegren
  • Jeffrey Naecker
  • Antonio Rangel

Abstract

A central task in microeconomics is to predict choices in as-yet-unobserved situations (e.g., after some policy intervention). Standard approaches can prove problematic when sufficiently similar changes have not been observed or do not have observable exogenous causes. We explore an alternative approach that generates predictions based on relationships across decision problems between actual choice frequencies and non-choice subjective evaluations of the available options. In a laboratory experiment, we find that this method yields accurate estimates of price sensitivities for a collection of products under conditions that render standard methods either inapplicable or highly inaccurate.

Suggested Citation

  • B. Douglas Bernheim & Daniel Bjorkegren & Jeffrey Naecker & Antonio Rangel, 2013. "Non-Choice Evaluations Predict Behavioral Responses to Changes in Economic Conditions," NBER Working Papers 19269, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:19269
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    References listed on IDEAS

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    1. Jordi Brandts & Gary Charness, 2011. "The strategy versus the direct-response method: a first survey of experimental comparisons," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 375-398, September.
    2. List, John A. & Shogren, Jason F., 1998. "Calibration of the difference between actual and hypothetical valuations in a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 37(2), pages 193-205, October.
    3. Jacquemet, Nicolas & Joule, Robert-Vincent & Luchini, Stéphane & Shogren, Jason F., 2013. "Preference elicitation under oath," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 110-132.
    4. Marianne Bertrand & Dean Karlin & Sendhil Mullainathan & Eldar Shafir & Jonathan Zinman, 2005. "What's Psychology Worth? A Field Experiment in the Consumer Credit Market," NBER Working Papers 11892, National Bureau of Economic Research, Inc.
    5. Emmanuel Saez, 2009. "Details Matter: The Impact of Presentation and Information on the Take-Up of Financial Incentives for Retirement Saving," American Economic Journal: Economic Policy, American Economic Association, vol. 1(1), pages 204-228, February.
    6. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    7. Katz, Jonathan H. & Katz, Gabriel, "undated". "Correcting for survey misreports using auxiliary information with an application to estimating turnout," Working Papers 1294, California Institute of Technology, Division of the Humanities and Social Sciences.
    8. John A. Fox & Jason F. Shogren & Dermot J. Hayes & James B. Kliebenstein, 1998. "CVM-X: Calibrating Contingent Values with Experimental Auction Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 455-465.
    9. repec:ebl:ecbull:v:3:y:2004:i:6:p:1-13 is not listed on IDEAS
    10. List, John A. & Shogren, Jason F., 2002. "Calibration of Willingness-to-Accept," Journal of Environmental Economics and Management, Elsevier, vol. 43(2), pages 219-233, March.
    11. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    12. William J. Infosino, 1986. "Forecasting New Product Sales from Likelihood of Purchase Ratings," Marketing Science, INFORMS, vol. 5(4), pages 372-384.
    13. Kurz, Mordecai, 1974. "Experimental approach to the determination of the demand for public goods," Journal of Public Economics, Elsevier, vol. 3(4), pages 329-348, November.
    14. Krueger, Alan B. & Kuziemko, Ilyana, 2013. "The demand for health insurance among uninsured Americans: Results of a survey experiment and implications for policy," Journal of Health Economics, Elsevier, vol. 32(5), pages 780-793.
    15. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    16. White, Halbert, 1980. "Using Least Squares to Approximate Unknown Regression Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(1), pages 149-170, February.
    17. McKinley Blackburn & Glenn W. Harrison & E. Elisabet Rutström, 1994. "Statistical Bias Functions and Informative Hypothetical Surveys," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(5), pages 1084-1088.
    18. R. K. Blamey & J. W. Bennett & M. D. Morrison, 1999. "Yea-Saying in Contingent Valuation Surveys," Land Economics, University of Wisconsin Press, vol. 75(1), pages 126-141.
    19. Shogren, Jason F., 1993. "Experimental Markets and Environmental Policy," Agricultural and Resource Economics Review, Cambridge University Press, vol. 22(02), pages 117-129, October.
    20. John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
    21. Richard T. Carson & Nicholas E. Flores & Kerry M. Martin & Jennifer L. Wright, 1996. "Contingent Valuation and Revealed Preference Methodologies: Comparing the Estimates for Quasi-Public Goods," Land Economics, University of Wisconsin Press, vol. 72(1), pages 80-99.
    22. Daniel J. Benjamin & Ori Heffetz & Miles S. Kimball & Alex Rees-Jones, 2010. "Do People Seek to Maximize Happiness? Evidence from New Surveys," NBER Working Papers 16489, National Bureau of Economic Research, Inc.
    23. Champ, Patricia A. & Bishop, Richard C. & Brown, Thomas C. & McCollum, Daniel W., 1997. "Using Donation Mechanisms to Value Nonuse Benefits from Public Goods," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 151-162, June.
    24. Gruber, Jonathan & Washington, Ebonya, 2005. "Subsidies to employee health insurance premiums and the health insurance market," Journal of Health Economics, Elsevier, vol. 24(2), pages 253-276, March.
    25. Joseph Little & Robert Berrens, 2004. "Explaining Disparities between Actual and Hypothetical Stated Values: Further Investigation Using Meta-Analysis," Economics Bulletin, AccessEcon, vol. 3(6), pages 1-13.
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    Cited by:

    1. Raj Chetty, 2015. "Behavioral Economics and Public Policy: A Pragmatic Perspective," American Economic Review, American Economic Association, vol. 105(5), pages 1-33, May.

    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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