IDEAS home Printed from https://ideas.repec.org/a/the/publsh/5796.html
   My bibliography  Save this article

Boundedly rational demand

Author

Listed:
  • Kocourek, Pavel

    (Department of Microeconomics at University Duisburg-Essen)

  • Steiner, Jakub

    (Department of economics at University of Zurich, CERGE-EI, and CTS)

  • Stewart, Colin

    (Department of Economics, University of Toronto)

Abstract

Evidence suggests that consumers do not perfectly optimize, contrary to a critical assumption of classical consumer theory. We propose a model in which consumer types can vary in both their preferences and their choice behavior. Given data on demand and the distribution of prices, we identify the set of possible values of the consumer surplus based on minimal rationality conditions: every type of consumer must be no worse off than if they either always bought the good or never did. We develop a procedure to narrow the set of surplus values using richer datasets and provide bounds on counterfactual demands.

Suggested Citation

  • Kocourek, Pavel & Steiner, Jakub & Stewart, Colin, 2024. "Boundedly rational demand," Theoretical Economics, Econometric Society, vol. 19(4), November.
  • Handle: RePEc:the:publsh:5796
    as

    Download full text from publisher

    File URL: http://econtheory.org/ojs/index.php/te/article/viewFile/20241415/40640/1237
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zi Yang Kang & Shoshana Vasserman, 2022. "Robustness Measures for Welfare Analysis," NBER Working Papers 29656, National Bureau of Economic Research, Inc.
    2. Dirk Bergemann & Benjamin Brooks & Stephen Morris, 2015. "The Limits of Price Discrimination," American Economic Review, American Economic Association, vol. 105(3), pages 921-957, March.
    3. Bart J. Bronnenberg & Jean-Pierre Dubé & Matthew Gentzkow & Jesse M. Shapiro, 2015. "Do Pharmacists Buy Bayer? Informed Shoppers and the Brand Premium," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1669-1726.
    4. Paola Manzini & Marco Mariotti, 2014. "Stochastic Choice and Consideration Sets," Econometrica, Econometric Society, vol. 82(3), pages 1153-1176, May.
    5. Dirk Bergemann & Benjamin Brooks & Stephen Morris, 2017. "First‐Price Auctions With General Information Structures: Implications for Bidding and Revenue," Econometrica, Econometric Society, vol. 85, pages 107-143, January.
    6. Andreas Kleiner & Benny Moldovanu & Philipp Strack, 2021. "Extreme Points and Majorization: Economic Applications," Econometrica, Econometric Society, vol. 89(4), pages 1557-1593, July.
    7. Naomi E. Feldman & Peter Katuš?ák & Laura Kawano, 2016. "Taxpayer Confusion: Evidence from the Child Tax Credit," American Economic Review, American Economic Association, vol. 106(3), pages 807-835, March.
    8. Dmitry Taubinsky & Alex Rees-Jones, 2018. "Attention Variation and Welfare: Theory and Evidence from a Tax Salience Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2462-2496.
    9. Jonathan Gruber & Botond Köszegi, 2001. "Is Addiction "Rational"? Theory and Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1261-1303.
    10. Condorelli, Daniele & Szentes, Balázs, 2022. "Surplus sharing in Cournot oligopoly," Theoretical Economics, Econometric Society, vol. 17(3), July.
    11. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    12. Amy Finkelstein, 2009. "E-ztax: Tax Salience and Tax Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 969-1010.
    13. Dirk Bergemann & Benjamin Brooks & Stephen Morris, 2022. "Counterfactuals with Latent Information," American Economic Review, American Economic Association, vol. 112(1), pages 343-368, January.
    14. Raj Chetty & Adam Looney & Kory Kroft, 2009. "Salience and Taxation: Theory and Evidence," American Economic Review, American Economic Association, vol. 99(4), pages 1145-1177, September.
    15. Varian, Hal R, 1985. "Price Discrimination and Social Welfare," American Economic Review, American Economic Association, vol. 75(4), pages 870-875, September.
    16. Marco Scarsini & Alfred Muller, 2006. "Stochastic order relations and lattices of probability measures," Post-Print hal-00539119, HAL.
    17. Anton Kolotilin & Tymofiy Mylovanov & Andriy Zapechelnyuk & Ming Li, 2017. "Persuasion of a Privately Informed Receiver," Econometrica, Econometric Society, vol. 85(6), pages 1949-1964, November.
    18. Tipoe, Eileen, 2021. "Price inattention: A revealed preference characterisation," European Economic Review, Elsevier, vol. 134(C).
    19. B. Douglas Bernheim & Antonio Rangel, 2009. "Beyond Revealed Preference: Choice-Theoretic Foundations for Behavioral Welfare Economics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 51-104.
    20. Hadar, Josef & Russell, William R, 1969. "Rules for Ordering Uncertain Prospects," American Economic Review, American Economic Association, vol. 59(1), pages 25-34, March.
    21. Austan Goolsbee & Amil Petrin, 2004. "The Consumer Gains from Direct Broadcast Satellites and the Competition with Cable TV," Econometrica, Econometric Society, vol. 72(2), pages 351-381, March.
    22. Matthew Gentzkow & Emir Kamenica, 2016. "A Rothschild-Stiglitz Approach to Bayesian Persuasion," American Economic Review, American Economic Association, vol. 106(5), pages 597-601, May.
    23. Amil Petrin, 2002. "Quantifying the Benefits of New Products: The Case of the Minivan," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 705-729, August.
    24. Rothschild, Michael & Stiglitz, Joseph E., 1970. "Increasing risk: I. A definition," Journal of Economic Theory, Elsevier, vol. 2(3), pages 225-243, September.
    25. Daniele Condorelli & Balázs Szentes, 2020. "Information Design in the Holdup Problem," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 681-709.
    26. Peter Cohen & Robert Hahn & Jonathan Hall & Steven Levitt & Robert Metcalfe, 2016. "Using Big Data to Estimate Consumer Surplus: The Case of Uber," NBER Working Papers 22627, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    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. Xavier Gabaix, 2017. "Behavioral Inattention," NBER Working Papers 24096, National Bureau of Economic Research, Inc.
    2. Alex Rees-Jones & Dmitry Taubinsky, 2018. "Taxing Humans: Pitfalls of the Mechanism Design Approach and Potential Resolutions," Tax Policy and the Economy, University of Chicago Press, vol. 32(1), pages 107-133.
    3. Mark Armstrong & Jidong Zhou, 2022. "Consumer Information and the Limits to Competition," American Economic Review, American Economic Association, vol. 112(2), pages 534-577, February.
    4. Lu, Kelin, 2022. "Overreaction to capital taxation in saving decisions," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    5. Dirk Bergemann & Paul Duetting & Renato Paes Leme & Song Zuo, 2021. "Calibrated Click-Through Auctions: An Information Design Approach," Cowles Foundation Discussion Papers 2285, Cowles Foundation for Research in Economics, Yale University.
    6. Dmitry Taubinsky & Alex Rees-Jones, 2018. "Attention Variation and Welfare: Theory and Evidence from a Tax Salience Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2462-2496.
    7. Sebastien Houde & Joseph E. Aldy, 2017. "The Efficiency Consequences of Heterogeneous Behavioral Responses to Energy Fiscal Policies," CER-ETH Economics working paper series 17/282, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    8. Alex Rees-Jones & Dmitry Taubinsky, 2020. "Measuring “Schmeduling”," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(5), pages 2399-2438.
    9. Joan Vilá, 2019. "Respuestas en los ingresos frente a un programa de transferencias monetarias: evidencia de un notch a partir de registros administrativos de Uruguay," Documentos de Trabajo (working papers) 19-07, Instituto de Economía - IECON.
    10. Traxler, Christian & Westermaier, Franz G. & Wohlschlegel, Ansgar, 2018. "Bunching on the Autobahn? Speeding responses to a ‘notched’ penalty scheme," Journal of Public Economics, Elsevier, vol. 157(C), pages 78-94.
    11. Wichman, Casey & Cunningham, Brandon, 2017. "Notching for Free: Do Cyclists Reveal the Value of Time?," RFF Working Paper Series 17-17, Resources for the Future.
    12. Emmanuel Farhi & Xavier Gabaix, 2020. "Optimal Taxation with Behavioral Agents," American Economic Review, American Economic Association, vol. 110(1), pages 298-336, January.
    13. Kai Hao Yang & Alexander K. Zentefis, 2022. "Gerrymandering and the Limits of Representative Democracy," Cowles Foundation Discussion Papers 2328, Cowles Foundation for Research in Economics, Yale University.
    14. Yang, Kai Hao, 2021. "Efficient demands in a multi-product monopoly," Journal of Economic Theory, Elsevier, vol. 197(C).
    15. Houde, Sebastien & Aldy, Joseph E., 2017. "The Efficiency Consequences of Heterogeneous Behavioral Responses to Energy Fiscal Policies," RFF Working Paper Series 17-24, Resources for the Future.
    16. Anja Prummer & Francesco Nava, 2023. "Value Design in Optimal Mechanisms," Economics working papers 2023-05, Department of Economics, Johannes Kepler University Linz, Austria.
    17. Hunt Allcott & Charlie Rafkin, 2020. "Optimal Regulation of E-cigarettes: Theory and Evidence," NBER Working Papers 27000, National Bureau of Economic Research, Inc.
    18. Dertwinkel-Kalt, Markus & Köster, Mats & Sutter, Matthias, 2020. "To buy or not to buy? Price salience in an online shopping field experiment," European Economic Review, Elsevier, vol. 130(C).
    19. Alejandro Ponce & Enrique Seira & Guillermo Zamarripa, 2017. "Borrowing on the Wrong Credit Card? Evidence from Mexico," American Economic Review, American Economic Association, vol. 107(4), pages 1335-1361, April.
    20. Waldenström, Daniel & Bastani, Spencer, 2020. "The Ability Gradient in Bunching," Working Paper Series 1333, Research Institute of Industrial Economics.

    More about this item

    Keywords

    Consumer theory; bounded rationality; information design;
    All these keywords.

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D6 - Microeconomics - - Welfare Economics
    • D9 - Microeconomics - - Micro-Based Behavioral Economics

    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:the:publsh:5796. 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: Martin J. Osborne (email available below). General contact details of provider: http://econtheory.org .

    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.