IDEAS home Printed from https://ideas.repec.org/p/rsm/riskun/r03_2.html
   My bibliography  Save this paper

Information and the Risk-Averse Firm

Author

Listed:
  • Robert G. Chambers

    (Dept of Agricultural and Resource Economics, University of Maryland, College Park)

  • John Quiggin

    (Department of Economics, University of Queensland)

Abstract

This paper has two goals. First,we demonstrate that standard arguments and methods from production and duality analysis can be used to provide a comprehensive and general treatment of the value of information for a risk-averse firm with expected-utility (linear-in-probabilities) preferences and a general stochastic technology. Second, we place bounds on the value of information for a risk-averse firm and relate these bounds to characteristics of the technology and the producer's preferences. A particularly striking observation that emerges from this representation is that the most common representation of production uncertainty corresponds to a polar case that trivializes the role that information can play in economic decision making under risk.

Suggested Citation

  • Robert G. Chambers & John Quiggin, "undated". "Information and the Risk-Averse Firm," Risk & Uncertainty Working Papers WPR03_2, Risk and Sustainable Management Group, University of Queensland.
  • Handle: RePEc:rsm:riskun:r03_2
    as

    Download full text from publisher

    File URL: http://www.uq.edu.au/rsmg/WP/WPR03_2.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. McFadden, Daniel, 1978. "Cost, Revenue, and Profit Functions," Histoy of Economic Thought Chapters, in: Fuss, Melvyn & McFadden, Daniel (ed.),Production Economics: A Dual Approach to Theory and Applications, volume 1, chapter 1, McMaster University Archive for the History of Economic Thought.
    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. John A. Miranowski & Bruce A. Babcock, 2004. "Genetic Information in Agricultural Productivity and Product Development," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 73-87.
    2. Robert Chambers, 2008. "Stochastic productivity measurement," Journal of Productivity Analysis, Springer, vol. 30(2), pages 107-120, October.
    3. Moez Abouda & Elyess Farhoud, 2010. "Anti-comonotone random variables and anti-monotone risk aversion," Post-Print halshs-00497444, HAL.
    4. Moez Abouda & Elyess Farhoud, 2010. "Risk aversion and Relationships in model-free," Post-Print halshs-00492170, HAL.

    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. Muhammad Ali Chaudhary & Eatzaz Ahmad & Abid A. Burki & Mushtaq A. Khan, 1999. "Industrial Sector Input Demand Responsiveness and Policy Interventions," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 38(4), pages 1083-1100.
    2. James R. Hines, Jr., 1990. "The Transfer Pricing Problem: Where the Profits Are," NBER Working Papers 3538, National Bureau of Economic Research, Inc.
    3. Pham, Manh D. & Zelenyuk, Valentin, 2019. "Weak disposability in nonparametric production analysis: A new taxonomy of reference technology sets," European Journal of Operational Research, Elsevier, vol. 274(1), pages 186-198.
    4. Wall, Charles A. & Fisher, Brian S., 1988. "Supply Response and the Theory of Production and Profit Functions," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-22, December.
    5. Deb Kusum Das, 2003. "Manufacturing productivity under varying trade regmies: India in the 1980s and 1990s," Indian Council for Research on International Economic Relations, New Delhi Working Papers 107, Indian Council for Research on International Economic Relations, New Delhi, India.
    6. Just, Richard E., 1992. "Discovering Microeconomic Relationships in Agriculture," 1992 Conference (36th), February 10-13, 1992, Canberra, Australia 146530, Australian Agricultural and Resource Economics Society.
    7. Lee, Lung-Fei & Pitt, Mark M., 1984. "Microeconometric Models of Consumer and Producer Demand with Limited Dependent Variables," Bulletins 7495, University of Minnesota, Economic Development Center.
    8. R H Green & W D Cook, 2004. "A free coordination hull approach to efficiency measurement," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1059-1063, October.
    9. Silva, Elvira & Lansink, Alfons Oude & Stefanou, Spiro E., 2015. "The adjustment-cost model of the firm: Duality and productive efficiency," International Journal of Production Economics, Elsevier, vol. 168(C), pages 245-256.
    10. Chambers, Robert G. & Quiggin, John C., 2002. "Resource Allocation And Asset Pricing," Working Papers 28594, University of Maryland, Department of Agricultural and Resource Economics.
    11. Finn Førsund & Lennart Hjalmarsson, 2004. "Are all Scales Optimal in DEA? Theory and Empirical Evidence," Journal of Productivity Analysis, Springer, vol. 21(1), pages 25-48, January.
    12. Peters, Cornelius, 2015. "Do age complementarities affect labour productivity? Evidence from German firm level data," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112941, Verein für Socialpolitik / German Economic Association.
    13. Gebhardt Flaig & Horst Rottmann, 2001. "Input Demand and the Short‐ and Long‐Run Employment Thresholds: An Empirical Analysis for the German Manufacturing Sector," German Economic Review, Verein für Socialpolitik, vol. 2(4), pages 367-384, November.
    14. Molua, Ernest L., 2005. "The economics of tropical agroforestry systems: the case of agroforestry farms in Cameroon," Forest Policy and Economics, Elsevier, vol. 7(2), pages 199-211, February.
    15. Giancarlo Moschini, 1988. "A Model of Production with Supply Management for the Canadian Agricultural Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(2), pages 318-329.
    16. W. Briec & K. Kerstens, 2009. "Infeasibility and Directional Distance Functions with Application to the Determinateness of the Luenberger Productivity Indicator," Journal of Optimization Theory and Applications, Springer, vol. 141(1), pages 55-73, April.
    17. Lee, Myunghun, 2013. "The effects of an increase in power rate on energy demand and output price in Korean manufacturing sectors," Energy Policy, Elsevier, vol. 63(C), pages 1217-1223.
    18. Moschini, GianCarlo, 2001. "Production risk and the estimation of ex-ante cost functions," Journal of Econometrics, Elsevier, vol. 100(2), pages 357-380, February.
    19. Buyle, Sven & Dewulf, Wouter & Kupfer, Franziska & Onghena, Evy & Meersman, Hilde & Van de Voorde, Eddy, 2020. "Does ANSP size and scope matter in the European ANS market? A multi-product stochastic frontier approach," Journal of Air Transport Management, Elsevier, vol. 83(C).
    20. Murty, Sushama, 2010. "Externalities and fundamental nonconvexities: A reconciliation of approaches to general equilibrium externality modeling and implications for decentralization," Journal of Economic Theory, Elsevier, vol. 145(1), pages 331-353, January.

    More about this item

    Keywords

    state-contingent production; value of information;

    JEL classification:

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

    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:rsm:riskun:r03_2. 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: David Adamson (email available below). General contact details of provider: https://edirc.repec.org/data/rsmuqau.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.