IDEAS home Printed from https://ideas.repec.org/p/wap/wpaper/1908.html
   My bibliography  Save this paper

Calculating a Giffen Good

Author

Listed:
  • Kazuyuki Sasakura

    (Faculty of Political Science and Economics, Waseda Universi)

Abstract

This paper provides a simple example of the utility function with two consumption goods which can be calculated by hand to produce a Giffen good. It is based on the theoretical result by Kubler, Selden, and Wei (2013). Using a model of portfolio selection with a risk-free asset and a risky asset, they showed that the risk-free asset becomes a Giffen good if the utility belongs to the HARA family. This paper investigates their result further in a usual microeconomic setting, and derives the conditions for one of the consumption goods to be a Giffen good from a broader perspective.

Suggested Citation

  • Kazuyuki Sasakura, 2019. "Calculating a Giffen Good," Working Papers 1908, Waseda University, Faculty of Political Science and Economics.
  • Handle: RePEc:wap:wpaper:1908
    as

    Download full text from publisher

    File URL: https://www.waseda.jp/fpse/winpec/assets/uploads/2019/06/E08_sasakura.pdf
    File Function: First version,
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Meyer, Donald J. & Meyer, Jack, 2005. "Risk preferences in multi-period consumption models, the equity premium puzzle, and habit formation utility," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1497-1515, November.
    2. Kazuyuki Sasakura, 2016. "Slutsky Revisited: A New Decomposition of the Price Effect," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 2(2), pages 253-280, July.
    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. Kazuyuki Sasakura, 2021. "Calculating a Giffen Good," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(3), pages 349-369, November.
    2. Aj A Bostian & Christoph Heinzel, 2020. "Robustness of Inferences in Risk and Time Experiments to Lifecycle Asset Integration," Post-Print hal-03358620, HAL.
    3. Chaigneau, Pierre, 2013. "Explaining the structure of CEO incentive pay with decreasing relative risk aversion," Journal of Economics and Business, Elsevier, vol. 67(C), pages 4-23.
    4. Markus Knell, 2010. "The Optimal Mix Between Funded and Unfunded Pension Systems When People Care About Relative Consumption," Economica, London School of Economics and Political Science, vol. 77(308), pages 710-733, October.
    5. repec:onb:oenbwp:y::i:146:b:1 is not listed on IDEAS
    6. Smith, William T. & Zhang, Qiang, 2007. "Asset pricing with multiplicative habit and power-expo preferences," Economics Letters, Elsevier, vol. 94(3), pages 319-325, March.
    7. Jack Meyer, 2010. "Representing risk preferences in expected utility based decision models," Annals of Operations Research, Springer, vol. 176(1), pages 179-190, April.
    8. AJ A. Bostian & Christoph Heinzel, 2016. "Consumption Smoothing and Precautionary Saving under Recursive Preferences," FOODSECURE Working papers 44, LEI Wageningen UR.
    9. Conniffe, Denis, 2008. "Generalised Means of Simple Utility Functions with Risk Aversion," The Economic and Social Review, Economic and Social Studies, vol. 39(1), pages 1-12.
    10. Carpentier, Alain & Gohin, Alexandre & Heinzel, Christoph, 2012. "Production Effects of Direct Payments to Active Farmers: a Microeconomic Dynamic and Stochastic Analysis," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122447, European Association of Agricultural Economists.
    11. Post, Thomas & Hanewald, Katja, 2013. "Longevity risk, subjective survival expectations, and individual saving behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 200-220.
    12. Denis Conniffe, 2007. "The Generalised Extreme Value Distribution as Utility Function," The Economic and Social Review, Economic and Social Studies, vol. 38(3), pages 275-288.
    13. Felix Kubler & Larry Selden & Xiao Wei, 2013. "Inferior Good and Giffen Behavior for Investing and Borrowing," American Economic Review, American Economic Association, vol. 103(2), pages 1034-1053, April.
    14. Alpanda, Sami & Woglom, Geoffrey, 2007. "The Case Against Power Utility and a Suggested Alternative: Resurrecting Exponential Utility," MPRA Paper 5897, University Library of Munich, Germany.
    15. Angus Macdonald & Pradip Tapadar, 2010. "Multifactorial Genetic Disorders and Adverse Selection: Epidemiology Meets Economics," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(1), pages 155-182, March.
    16. Peter Siminski, 2009. "A Welfare Analysis of the Commonwealth Seniors Health Card," The Economic Record, The Economic Society of Australia, vol. 85(269), pages 164-180, June.
    17. Liu, Liqun, 2012. "Inferring the rate of pure time preference under uncertainty," Ecological Economics, Elsevier, vol. 74(C), pages 27-33.
    18. Kim, Sei-Wan & Krausz, Joshua & Nam, Kiseok, 2013. "Revisiting asset pricing under habit formation in an overlapping-generations economy," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 132-138.
    19. Felix Kubler & Larry Selden & Xiao Wei, 2014. "When Is a Risky Asset "Urgently Needed"?," American Economic Journal: Microeconomics, American Economic Association, vol. 6(2), pages 131-162, May.
    20. William T. Smith & Qiang Zhang, 2006. "Asset Pricing With Multiplicative Habit and Power-Expo Preferences (Subsequently published in "Economics Letters", 2007, 94(3), 319-325. )," CARF F-Series CARF-F-070, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    21. Donald Meyer & Jack Meyer, 2005. "Relative Risk Aversion: What Do We Know?," Journal of Risk and Uncertainty, Springer, vol. 31(3), pages 243-262, December.

    More about this item

    Keywords

    HARA family; Decreasing relative risk aversion; Giffen good; Slutsky equation; Ratio effect;
    All these keywords.

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wap:wpaper:1908. 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: Haruko Noguchi (email available below). General contact details of provider: https://edirc.repec.org/data/spwasjp.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.