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An assessment of the empirical magnitude of option values for environment goods

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  • Catherine Kling

Abstract

This paper provides an empirical assessment of the magnitude of option values relative to expected surplus using a model presented by Larson and Flacco (1992). Option values and option prices are computed for both simulated data sets and actual estimates of recreation demands. Results indicate that option values engendered by price and income uncertainty are generally quite a small percent of expected surplus. Copyright Kluwer Academic Publishers 1993

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  • Catherine Kling, 1993. "An assessment of the empirical magnitude of option values for environment goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(5), pages 471-485, October.
    • Handle: RePEc:kap:enreec:v:3:y:1993:i:5:p:471-485
    DOI: 10.1007/BF00310249
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    1. Trudy Ann Cameron & Jeffrey Englin, 1991. "Cost-Benefit Analysis for Non-Market Resources: A Utility-Theoretic Empirical Model Incorporating Demand Uncertainty," UCLA Economics Working Papers 627, UCLA Department of Economics.
    2. Charles J. Cicchetti & A. Myrick Freeman III, 1971. "Option Demand and Consumer Surplus: Further Comment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 85(3), pages 528-539.
    3. Creel, Michael D. & Loomis, John B., 1992. "Modeling hunting demand in the presence of a bag limit, with tests of alternative specifications," Journal of Environmental Economics and Management, Elsevier, vol. 22(2), pages 99-113, March.
    4. Richard C. Bishop, 1982. "Option Value: An Exposition and Extension," Land Economics, University of Wisconsin Press, vol. 58(1), pages 1-15.
    5. Edwards, Steven F., 1988. "Option prices for groundwater protection," Journal of Environmental Economics and Management, Elsevier, vol. 15(4), pages 475-487, December.
    6. David S. Brookshire & Larry S. Eubanks & Alan Randall, 1983. "Estimating Option Prices and Existence Values for Wildlife Resources," Land Economics, University of Wisconsin Press, vol. 59(1), pages 1-15.
    7. Smith, V. Kerry & Desvousges, William H. & Fisher, Ann, 1983. "Estimates of the option values for water quality improvements," Economics Letters, Elsevier, vol. 13(1), pages 81-86.
    8. Graham, Daniel A, 1981. "Cost-Benefit Analysis under Uncertainty," American Economic Review, American Economic Association, vol. 71(4), pages 715-725, September.
    9. Desvousges, William H. & Smith, V. Kerry & Fisher, Ann, 1987. "Option price estimates for water quality improvements: A contingent valuation study for the monongahela river," Journal of Environmental Economics and Management, Elsevier, vol. 14(3), pages 248-267, September.
    10. Douglas A. Greenley & Richard G. Walsh & Robert A. Young, 1981. "Option Value: Empirical Evidence from a Case Study of Recreation and Water Quality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 96(4), pages 657-673.
    11. Michael D. Creel & John B. Loomis, 1990. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 434-441.
    12. Schmalensee, Richard, 1972. "Option Demand and Consumer's Surplus: Valuing Price Changes under Uncertainty," American Economic Review, American Economic Association, vol. 62(5), pages 813-824, December.
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    15. Nancy E. Bockstael & Ivar E. Strand, Jr. & Kenneth E. McConnell & Firuzeh Arsanjani, 1990. "Sample Selection Bias in the Estimation of Recreation Demand Functions: An Application to Sportfishing," Land Economics, University of Wisconsin Press, vol. 66(1), pages 40-49.
    16. D. R. Byerlee, 1971. "Option Demand and Consumer Surplus: Comment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 85(3), pages 523-527.
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