[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/ags/uqsers/151172.html
   My bibliography  Save this paper

Comparative risk aversion for state-dependent preferences

Author

Listed:
  • Quiggin, John
  • Chambers, Robert G.
Abstract
The idea that preferences may be state-dependent fits naturally with an analysis of uncertainty based on explicit representation of random variables as state-contingent consumption or production bundles. In this paper we show how these concepts of risk-aversion may be extended to the case of state-dependent preferences, whether or not these preferences are autocomparable in the sense of Karni. We characterize autocomparability as a special case. We show how standard comparative static results, originally derived for the state-independent expected utility model, may be extended to general state-dependent preferences, without the requirement for additive separability.

Suggested Citation

  • Quiggin, John & Chambers, Robert G., 2005. "Comparative risk aversion for state-dependent preferences," Risk and Sustainable Management Group Working Papers 151172, University of Queensland, School of Economics.
  • Handle: RePEc:ags:uqsers:151172
    DOI: 10.22004/ag.econ.151172
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/151172/files/WPR05_5.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.151172?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. Grant, Simon & Karni, Edi, 2004. "A theory of quantifiable beliefs," Journal of Mathematical Economics, Elsevier, vol. 40(5), pages 515-546, August.
    2. Karni, Edi, 1987. "Generalized Expected Utility Analysis of Risk Aversion with State-Dependent Preference," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(1), pages 229-240, February.
    3. Karni, Edi, 1999. "Elicitation of Subjective Probabilities When Preferences Are State-Dependent," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 479-486, May.
    4. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521622448, September.
    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. Galizzi, Matteo M. & Machado, Sara R. & Miniaci, Raffaele, 2016. "Temporal stability, cross-validity, and external validity of risk preferences measures: experimental evidence from a UK representative sample," LSE Research Online Documents on Economics 67554, London School of Economics and Political Science, LSE Library.
    2. Armantier, Olivier & Treich, Nicolas, 2013. "Eliciting beliefs: Proper scoring rules, incentives, stakes and hedging," European Economic Review, Elsevier, vol. 62(C), pages 17-40.
    3. Cherchye, L. & Post, G.T., 2001. "Methodological Advances in Dea," ERIM Report Series Research in Management ERS-2001-53-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Robert G. Chambers & John Quiggin, 2007. "Dual Approaches to the Analysis of Risk Aversion," Economica, London School of Economics and Political Science, vol. 74(294), pages 189-213, May.
    5. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    6. CARPENTIER, Alain & GOHIN, Alexandre & SCKOKAI, Paolo & THOMAS, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 96(1), March.
    7. Parton, Kevin A., 2009. "Agricultural Decision Analysis: The Causal Challenge," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48150, Australian Agricultural and Resource Economics Society.
    8. Simon Grant & Edi Karni, 2005. "Why Does It Matter That Beliefs And Valuations Be Correctly Represented?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(3), pages 917-934, August.
    9. Rasmussen, Svend, 2003. "Criteria for optimal production under uncertainty. The state-contingent approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 1-30.
    10. Jacquemet, Nicolas & Rullière, Jean-Louis & Vialle, Isabelle, 2008. "Monitoring optimistic agents," Journal of Economic Psychology, Elsevier, vol. 29(5), pages 698-714, November.
    11. Macedo, Pedro & Scotto, Manuel, 2014. "Cross-entropy estimation in technical efficiency analysis," Journal of Mathematical Economics, Elsevier, vol. 54(C), pages 124-130.
    12. Bouali Guesmi & Teresa Serra & Allen Featherstone, 2015. "Technical efficiency of Kansas arable crop farms: a local maximum likelihood approach," Agricultural Economics, International Association of Agricultural Economists, vol. 46(6), pages 703-713, November.
    13. Ghossoub, Mario, 2011. "Monotone equimeasurable rearrangements with non-additive probabilities," MPRA Paper 37629, University Library of Munich, Germany, revised 23 Mar 2012.
    14. John Quiggin, 2022. "Production under uncertainty and choice under uncertainty in the emergence of generalized expected utility theory," Theory and Decision, Springer, vol. 92(3), pages 717-729, April.
    15. Klaus Nehring, 2006. "Decision-Making in the Context of Imprecise Probabilistic Beliefs," Economics Working Papers 0034, Institute for Advanced Study, School of Social Science.
    16. Seo, Sangtaek & Leatham, David J. & Mitchell, Paul D., 2003. "Risk Sharing and Incentives with Crop Insurance and External Equity Financing," 2003 Regional Committee NCT-194, October 6-7, 2003; Kansas City, Missouri 132523, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    17. Robert G. Chambers & Margarita Genius & Vangelis Tzouvelekas, 2021. "Invariant Risk Preferences and Supply Response under Price Risk," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1802-1819, October.
    18. Sriram Shankar & John Quiggin, 2013. "Production under uncertainty: a simulation study," Journal of Productivity Analysis, Springer, vol. 39(3), pages 207-215, June.
    19. Quiggin, John & Adamson, David & Chambers, Sarah & Schrobback, Peggy, 2009. "Climate change, mitigation and adaptation: the case of the Murray-Darling Basin in Australia," Risk and Sustainable Management Group Working Papers 149878, University of Queensland, School of Economics.
    20. Adamson, David & Mallawaarachchi, Thilak & Quiggin, John, 2004. "Modelling basin level allocation of water in the Murray Darling Basin in a world of uncertainty," Risk and Sustainable Management Group Working Papers 149844, University of Queensland, School of Economics.

    More about this item

    Keywords

    Public Economics; Risk and Uncertainty;

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

    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:uqsers:151172. 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/decuqau.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.