A Simple Method to Account for Measurement Errors in Revealed Preference Tests
AbstractRevealed 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Research Institute of Industrial Economics in its series Working Paper Series with number 990.
Length: 18 pages
Date of creation: 21 Nov 2013
Date of revision:
Contact details of provider:
Postal: Research Institute of Industrial Economics, Box 55665, SE-102 15 Stockholm, Sweden
Phone: +46 8 665 4500
Fax: +46 8 665 4599
Web page: http://www.ifn.se/
More information through EDIRC
Berkson measurement errors; Classical measurement errors; GARP; Revealed preference;
Find related papers by 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
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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 458-75, November.
- Ian Crawford & Krishna Pendakur, 2013. "How many types are there?," Economic Journal, Royal Economic Society, vol. 123, pages 77-95, 03.
- William Barnett & W. Erwin Diewert & Arnold Zellner, 2009.
"Introduction to Measurement with Theory,"
WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS
200906, University of Kansas, Department of Economics, revised Apr 2009.
- Barnett, William A. & Diewert, W. Erwin & Zellner, Arnold, 2009. "Introduction To Measurement With Theory," Macroeconomic Dynamics, Cambridge University Press, vol. 13(S2), pages 151-168, September.
- 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.
- 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.
- 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.
- Xiaohong Chen & Han Hong & Denis Nekipelov, 2011. "Nonlinear Models of Measurement Errors," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 901-37, December.
- Belongia, Michael T, 1996. "Measurement Matters: Recent Results from Monetary Economics Reexamined," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 1065-83, October.
- Barnett, William A., 1980. "Economic monetary aggregates an application of index number and aggregation theory," Journal of Econometrics, Elsevier, vol. 14(1), pages 11-48, September.
- Varian, Hal R, 1982. "The Nonparametric Approach to Demand Analysis," Econometrica, Econometric Society, vol. 50(4), pages 945-73, July.
- 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(05), pages 612-629, November.
- Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
- 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.
- Raghbendra Jha & Ibotombi S. Longjam, 2003.
"Structure of Financial Savings during Indian Economic Reforms,"
ASARC Working Papers
2003-03, The Australian National University, Australia South Asia Research Centre.
- Raghbendra Jha & Ibotombi Longjam, 2006. "Structure of Financial Savings During Indian Economic Reforms," Empirical Economics, Springer, vol. 31(4), pages 861-869, November.
- Varian, Hal R., 1985. "Non-parametric analysis of optimizing behavior with measurement error," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 445-458.
- Laurens CHERCHYE & Thomas DEMUYNCK & Bram DE ROCK, 2011. "Revealed preference tests for weak separability: an integer programming approach," Center for Economic Studies - Discussion papers ces11.25, Katholieke Universiteit Leuven, Centrum voor Economische Studiën.
- 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 383-89, August.
- 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.
- Diewert, W E, 1973. "Afriat and Revealed Preference Theory," Review of Economic Studies, Wiley Blackwell, vol. 40(3), pages 419-25, July.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Elisabeth Gustafsson).
If references are entirely missing, you can add them using this form.