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Preserving Biodiversity: Ambiguity and Safety Rules

Author

Listed:
  • Giannis Vardas

    (Department of Economics, University of Crete)

  • Anastasios Xepapadeas

    (Department of Economics, University of Crete)

Abstract

Safety rules are developed, for biodiversity preservation. These rules are designed to take into account the impact of uncertainty and worst case scenarios, which when combined with unregulated ecosystem management decisions, might produce extinction of species. The safety rules take the form of fixed land allocation and fixed harvesting rules under uncertainty. We explore how model uncertainty affects these safety rules relative to the classic risk aversion case and how a measure of precaution against worst case scenarios can be formulated.

Suggested Citation

  • Giannis Vardas & Anastasios Xepapadeas, 2006. "Preserving Biodiversity: Ambiguity and Safety Rules," Working Papers 0607, University of Crete, Department of Economics.
  • Handle: RePEc:crt:wpaper:0607
    as

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    File URL: http://economics.soc.uoc.gr/wpa/docs/VaRLSTP.pdf
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    References listed on IDEAS

    as
    1. Pierre Giot & Sébastien Laurent, 2003. "Value-at-risk for long and short trading positions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 641-663.
    2. Paul H. Kupiec, 1995. "Techniques for verifying the accuracy of risk measurement models," Finance and Economics Discussion Series 95-24, Board of Governors of the Federal Reserve System (U.S.).
    3. Pagan, Adrian R. & Schwert, G. William, 1990. "Alternative models for conditional stock volatility," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 267-290.
    4. Peter F. Christoffersen & Francis X. Diebold, 2000. "How Relevant is Volatility Forecasting for Financial Risk Management?," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 12-22, February.
    5. Engle, Robert F. & Manganelli, Simone, 2001. "Value at risk models in finance," Working Paper Series 75, European Central Bank.
    6. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    7. repec:bla:jecsur:v:16:y:2002:i:3:p:447-85 is not listed on IDEAS
    8. S»bastien Laurent and Jean-Philippe Peters, 2001. "G@RCH 2.0: An Ox Package for Estimating and Forecasting Various ARCH Models," Computing in Economics and Finance 2001 123, Society for Computational Economics.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Biodiversity Preservation; Model Uncertainty; Safety Rules;
    All these keywords.

    JEL classification:

    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

    NEP fields

    This paper has been announced in the following NEP Reports:

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