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Non-Parametric Analysis of ENSO Impacts on Yield Distributions: Implications for GRP Contract Design

Author

Listed:
  • Nadolnyak, Denis A.
  • Novak, James L.
  • Vedenov, Dmitry V.
  • Paz, Joel O.
  • Fraisse, Clyde W.
  • Hoogenboom, Gerrit

Abstract

The paper reports preliminary results of non-parametric analysis of historical and crop model generated peanut yield series in the Southwest Georgia. The results suggest ENSO phase dependent differences in yield distributions that are similar for both the simulated and actual series. The differences are magnified in GRP insurance premiums.

Suggested Citation

  • Nadolnyak, Denis A. & Novak, James L. & Vedenov, Dmitry V. & Paz, Joel O. & Fraisse, Clyde W. & Hoogenboom, Gerrit, 2007. "Non-Parametric Analysis of ENSO Impacts on Yield Distributions: Implications for GRP Contract Design," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34858, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saeasm:34858
    DOI: 10.22004/ag.econ.34858
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    References listed on IDEAS

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    1. James W. Mjelde & Harvey S.J. Hill & John F. Griffiths, 1998. "A Review of Current Evidence on Climate Forecasts and Their Economic Effects in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1089-1095.
    2. Bruce J. Sherrick & Fabio C. Zanini & Gary D. Schnitkey & Scott H. Irwin, 2004. "Crop Insurance Valuation under Alternative Yield Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 406-419.
    3. Barnett, Barry J. & Black, J. Roy & Hu, Yingyao & Skees, Jerry R., 2005. "Is Area Yield Insurance Competitive with Farm Yield Insurance?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(2), pages 1-17, August.
    4. Podesta, Guillermo & Letson, David & Messina, Carlos & Royce, Fred & Ferreyra, R. Andres & Jones, James & Hansen, James & Llovet, Ignacio & Grondona, Martin & O'Brien, James J., 2002. "Use of ENSO-related climate information in agricultural decision making in Argentina: a pilot experience," Agricultural Systems, Elsevier, vol. 74(3), pages 371-392, December.
    5. Barry K. Goodwin & Alan P. Ker, 1998. "Nonparametric Estimation of Crop Yield Distributions: Implications for Rating Group-Risk Crop Insurance Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 139-153.
    6. Jeffrey Racine, 2008. "Nonparametric econometrics: a primer (in Russian)," Quantile, Quantile, issue 4, pages 7-56, March.
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