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Measurement Of Price Risk In Revenue Insurance: Implications Of Distributional Assumptions

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  • Roberts, Matthew C.
  • Goodwin, Barry K.
  • Coble, Keith H.

Abstract

A variety of crop revenue insurance programs is now available. These programs require measurement of price risk. This article investigates the appropriateness of distributional assumptions underlying current and proposed alternative actuarial methods. Our results find that prices are best modeled using a flexible mixture of normals distribution.

Suggested Citation

  • Roberts, Matthew C. & Goodwin, Barry K. & Coble, Keith H., 1998. "Measurement Of Price Risk In Revenue Insurance: Implications Of Distributional Assumptions," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20840, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea98:20840
    DOI: 10.22004/ag.econ.20840
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    References listed on IDEAS

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    1. Harvey, A C, 1976. "Estimating Regression Models with Multiplicative Heteroscedasticity," Econometrica, Econometric Society, vol. 44(3), pages 461-465, May.
    2. David A. Hennessy & Thomas I. Wahl, 1996. "The Effects of Decision Making on Futures Price Volatility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 591-603.
    3. Samuelson, Paul A, 1976. "Is Real-World Price a Tale Told by the Idiot of Chance?," The Review of Economics and Statistics, MIT Press, vol. 58(1), pages 120-123, February.
    4. Hansen Bruce E., 1997. "Inference in TAR Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(1), pages 1-16, April.
    5. Hall, Joyce A. & Brorsen, B. Wade & Irwin, Scott H., 1989. "The Distribution of Futures Prices: A Test of the Stable Paretian and Mixture of Normals Hypotheses," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(1), pages 105-116, March.
    6. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    7. Octavio A. Ramírez, 1997. "Estimation and Use of a Multivariate Parametric Model for Simulating Heteroskedastic, Correlated, Nonnormal Random Variables: The Case of Corn Belt Corn, Soybean, and Wheat Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 191-205.
    8. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    9. G. J. McLachlan, 1987. "On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal Mixture," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(3), pages 318-324, November.
    10. Hsieh, David A, 1989. "Modeling Heteroscedasticity in Daily Foreign-Exchange Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(3), pages 307-317, July.
    11. Jeffrey R. Stokes & William I. Nayda & Burton C. English, 1997. "The Pricing of Revenue Assurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 439-451.
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