IDEAS home Printed from https://ideas.repec.org/p/ags/umaesp/14264.html
   My bibliography  Save this paper

On Testing For Revealed Preference Conditions

Author

Listed:
  • Tsur, Yacov

Abstract

A procedure to test for the significance of violations of revealed preference conditions is described. The procedure is simple and hence may especially be appropriate for large data sets. An application to consumption data is presented.

Suggested Citation

  • Tsur, Yacov, 1989. "On Testing For Revealed Preference Conditions," Staff Papers 14264, University of Minnesota, Department of Applied Economics.
  • Handle: RePEc:ags:umaesp:14264
    DOI: 10.22004/ag.econ.14264
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/14264/files/p89-14.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.14264?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Varian, Hal R, 1982. "The Nonparametric Approach to Demand Analysis," Econometrica, Econometric Society, vol. 50(4), pages 945-973, July.
    2. Varian, Hal R., 1985. "Non-parametric analysis of optimizing behavior with measurement error," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 445-458.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Veeman, Michele M. & Peng, Yanning, 1997. "Canadian Dairy Demand," Project Report Series 24037, University of Alberta, Department of Resource Economics and Environmental Sociology.
    2. 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.
    3. Yoram Halevy & Dotan Persitz & Lanny Zrill, 2018. "Parametric Recoverability of Preferences," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1558-1593.
    4. Peter C. Boxall & Wiktor L. Adamowicz & Theodore Tomasi, 1996. "A Nonparametric Test of the Traditional Travel Cost Model," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 44(2), pages 183-193, July.
    5. Dziewulski, Paweł, 2020. "Just-noticeable difference as a behavioural foundation of the critical cost-efficiency index," Journal of Economic Theory, Elsevier, vol. 188(C).
    6. Bar-Shira, Ziv & Finkelshtain, Israel, 1997. "Nonparametric analysis of pooled production data," Economics Letters, Elsevier, vol. 55(2), pages 173-178, August.
    7. Smeulders, Bart & Crama, Yves & Spieksma, Frits C.R., 2019. "Revealed preference theory: An algorithmic outlook," European Journal of Operational Research, Elsevier, vol. 272(3), pages 803-815.
    8. Alston, Julian M. & Chalfant, James A., 1992. "Consumer Demand Analysis According To Garp," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 21(2), pages 1-15, October.
    9. Adamowicz, Wiktor L. & Graham-Tomasi, Theodore, 1988. "Testing Nonmarket Values In A Nonparametric Framework," Staff Papers 14050, University of Minnesota, Department of Applied Economics.
    10. Pawel Dziewulski, 2018. "Just-noticeable difference as a behavioural foundation of the critical cost-efficiency," Economics Series Working Papers 848, University of Oxford, Department of Economics.
    11. Tsur, Yacov, 1990. "Testing The Significance Of Deviations From Rational Behavior," Staff Papers 13267, University of Minnesota, Department of Applied Economics.
    12. Frechette, Darren L. & Jin, Hyun-Joung, 2002. "Distinguishing transitory nonlinear shocks from permanent structural change," Structural Change and Economic Dynamics, Elsevier, vol. 13(2), pages 231-248, June.
    13. Alcantud, José Carlos R. & Matos, Daniel L. & Palmero, Carlos R., 2009. "Goodness of fit in optimizing consumer's model," MPRA Paper 20134, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abi Adams & Laurens Cherchye & Bram De Rock & Ewout Verriest, 2014. "Consume Now or Later? Time Inconsistency, Collective Choice, and Revealed Preference," American Economic Review, American Economic Association, vol. 104(12), pages 4147-4183, December.
    2. John Quah, 2014. "A test for weakly separable preferences," Economics Series Working Papers 708, University of Oxford, Department of Economics.
    3. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.
    4. Cherchye, Laurens & De Rock, Bram & Sabbe, Jeroen & Vermeulen, Frederic, 2008. "Nonparametric tests of collectively rational consumption behavior: An integer programming procedure," Journal of Econometrics, Elsevier, vol. 147(2), pages 258-265, December.
    5. Andreoni,J. & Harbaugh,W.T., 2005. "Power indices for revealed preference tests," Working papers 10, Wisconsin Madison - Social Systems.
    6. Richard Blundell & Martin Browning & Ian Crawford, 2008. "Best Nonparametric Bounds on Demand Responses," Econometrica, Econometric Society, vol. 76(6), pages 1227-1262, November.
    7. David Edgerton & Donald Dutkowsky & Thomas Elger & Barry Jones, 2005. "Toward a unified approach to testing for weak separability," Economics Bulletin, AccessEcon, vol. 3(20), pages 1-7.
    8. Elger, Thomas & Jones, Barry & Edgerton, David & Binner, Jane, 2004. "The Optimal Level of Monetary Aggregation in the UK," Working Papers 2004:7, Lund University, Department of Economics, revised 26 Jan 2005.
    9. Cherchye, Laurens & Demuynck, Thomas & De Rock, Bram, 2011. "Testable implications of general equilibrium models: An integer programming approach," Journal of Mathematical Economics, Elsevier, vol. 47(4-5), pages 564-575.
    10. Barnett, William A. & de Peretti, Philippe, 2009. "Admissible Clustering Of Aggregator Components: A Necessary And Sufficient Stochastic Seminonparametric Test For Weak Separability," Macroeconomic Dynamics, Cambridge University Press, vol. 13(S2), pages 317-334, September.
    11. Raghbendra Jha & Ibotombi Longjam, 2006. "Structure of Financial Savings During Indian Economic Reforms," Empirical Economics, Springer, vol. 31(4), pages 861-869, November.
    12. Jin, Hyun Joung & Sun, Changyou & Koo, Won W., 2003. "The Effect Of Food-Safety Related Information On Consumer Preference: The Case Of The Bse Outbreak In Japan," Agribusiness & Applied Economics Report 23636, North Dakota State University, Department of Agribusiness and Applied Economics.
    13. Klaassen, Franc J.G.M. & Magnus, Jan R., 2009. "The efficiency of top agents: An analysis through service strategy in tennis," Journal of Econometrics, Elsevier, vol. 148(1), pages 72-85, January.
    14. Sundström, David, 2016. "On Specification and Inference in the Econometrics of Public Procurement," Umeå Economic Studies 931, Umeå University, Department of Economics.
    15. Heufer, Jan, 2008. "A Geometric Measure for the Violation of Utility Maximization," Ruhr Economic Papers 69, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    16. Barry E. Jones & Livio Stracca, 2008. "Does Money Matter In The Is Curve? The Case Of The Uk," Manchester School, University of Manchester, vol. 76(s1), pages 58-84, September.
    17. Thomas Demuynck & John Rehbeck, 2023. "Computing revealed preference goodness-of-fit measures with integer programming," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(4), pages 1175-1195, November.
    18. Elger, C. Thomas & Jones, Barry E. & Edgerton, David L. & Binner, Jane M., 2008. "A Note On The Optimal Level Of Monetary Aggregation In The United Kingdom," Macroeconomic Dynamics, Cambridge University Press, vol. 12(1), pages 117-131, February.
    19. Joey Blumberg & Gary Thompson, 2022. "Nonparametric segmentation methods: Applications of unsupervised machine learning and revealed preference," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(3), pages 976-998, May.

    More about this item

    Keywords

    Research Methods/ Statistical Methods;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:umaesp:14264. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/daumnus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.