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A Simple Method to Account for Measurement Errors in Revealed Preference Tests

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Abstract

Revealed preference tests are widely used in empirical applications of consumer rationality. These are static tests, and consequently, lack ability to handle measurement errors in the data. This paper extends and generalizes existing procedures that account for measurement errors in revealed preference tests. In particular, it introduces a very efficient method to implement these procedures, which make them operational for large data sets. The paper illustrates the new method for both classical and Berkson measurement errors models.

Suggested Citation

  • Hjertstrand, Per, 2013. "A Simple Method to Account for Measurement Errors in Revealed Preference Tests," Working Paper Series 990, Research Institute of Industrial Economics.
    • Handle: RePEc:hhs:iuiwop:0990
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    1. Varian, Hal R, 1982. "The Nonparametric Approach to Demand Analysis," Econometrica, Econometric Society, vol. 50(4), pages 945-973, July.
    2. Raghbendra Jha & Ibotombi Longjam, 2006. "Structure of Financial Savings During Indian Economic Reforms," Empirical Economics, Springer, vol. 31(4), pages 861-869, November.
    3. Barnett, William A. & Erwin Diewert, W. & Zellner, Arnold, 2011. "Introduction to measurement with theory," Journal of Econometrics, Elsevier, vol. 161(1), pages 1-5, March.
    4. Jones, Barry E. & De Peretti, Philippe, 2005. "A Comparison Of Two Methods For Testing The Utility Maximization Hypothesis When Quantity Data Are Measured With Error," Macroeconomic Dynamics, Cambridge University Press, vol. 9(5), pages 612-629, November.
    5. Cherchye, Laurens & Demuynck, Thomas & De Rock, Bram & Hjertstrand, Per, 2015. "Revealed preference tests for weak separability: An integer programming approach," Journal of Econometrics, Elsevier, vol. 186(1), pages 129-141.
    6. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
    7. William A. Barnett, 2000. "Economic Monetary Aggregates: An Application of Index Number and Aggregation Theory," Contributions to Economic Analysis, in: The Theory of Monetary Aggregation, pages 11-48, Emerald Group Publishing Limited.
    8. Ian Crawford & Krishna Pendakur, 2013. "How many types are there?," Economic Journal, Royal Economic Society, vol. 123, pages 77-95, March.
    9. Xiaohong Chen & Han Hong & Denis Nekipelov, 2011. "Nonlinear Models of Measurement Errors," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 901-937, December.
    10. Elger, Thomas & Jones, Barry E., 2008. "Can rejections of weak separability be attributed to random measurement errors in the data?," Economics Letters, Elsevier, vol. 99(1), pages 44-47, April.
    11. Lee A. Craig & Douglas Fisher, 1997. "The Demand for Money," Palgrave Macmillan Books, in: The Integration of the European Economy, 1850–1913, chapter 7, pages 160-186, Palgrave Macmillan.
    12. Belongia, Michael T, 1996. "Measurement Matters: Recent Results from Monetary Economics Reexamined," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 1065-1083, October.
    13. Fisher, Douglas & Fleissig, Adrian R, 1997. "Monetary Aggregation and the Demand for Assets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(4), pages 458-475, November.
    14. Swofford, James L & Whitney, Gerald A, 1986. "Flexible Functional Forms and the Utility Approach to the Demand for Money: A Nonparametric Analysis: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 18(3), pages 383-389, August.
    15. Philippe de Peretti, 2005. "A Comparison Of Two Methods For Testing The Utility Maximization Hypothesis When Quantity Data Are Measured With Error," Post-Print halshs-00646809, HAL.
    16. Philippe de Peretti, 2005. "A Comparison Of Two Methods For Testing The Utility Maximization Hypothesis When Quantity Data Are Measured With Error," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00646809, HAL.
    17. Swofford, James L. & Whitney, Gerald A., 1994. "A revealed preference test for weakly separable utility maximization with incomplete adjustment," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 235-249.
    18. W. E. Diewert, 1973. "Afriat and Revealed Preference Theory," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 40(3), pages 419-425.
    19. Epstein, Larry G. & Yatchew, Adonis J., 1985. "Non-parametric hypothesis testing procedures and applications to demand analysis," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 149-169.
    20. Jones, Barry E. & Dutkowsky, Donald H. & Elger, Thomas, 2005. "Sweep programs and optimal monetary aggregation," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 483-508, February.
    21. Varian, Hal R., 1985. "Non-parametric analysis of optimizing behavior with measurement error," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 445-458.
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    Cited by:

    1. Victor H Aguiar & Nail Kashaev, 2021. "Stochastic Revealed Preferences with Measurement Error [Consistency between Household-level Consumption Data from Registers and Surveys]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(4), pages 2042-2093.
    2. Demuynck, Thomas & Hjertstrand, Per, 2019. "Samuelson's Approach to Revealed Preference Theory: Some Recent Advances," Working Paper Series 1274, Research Institute of Industrial Economics.

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    More about this item

    Keywords

    Berkson measurement errors; Classical measurement errors; GARP; Revealed preference;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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