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Modeling Farm-Level Crop Insurance Demand with Panel Data

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Listed:
  • Keith H. Coble
  • Thomas O. Knight
  • Rulon D. Pope
  • Jeffery R. Williams

Abstract

A random-effects, binomial probit model is applied to data for a panel of Kansas wheat farms to examine Multiple Peril Crop Insurance demand. A theoretical model is developed which suggests inclusion of the moments of both market return and the return to insurance. Empirical results indicate that the first and second moments of both market return and the returns to insurance are significant. The price elasticity of demand is estimated to be −0.65. Preseason weather variables when included in the models were not found to be significant, failing to support the hypothesis of intertemporal adverse selection. Copyright 1996, Oxford University Press.

Suggested Citation

  • Keith H. Coble & Thomas O. Knight & Rulon D. Pope & Jeffery R. Williams, 1996. "Modeling Farm-Level Crop Insurance Demand with Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 439-447.
  • Handle: RePEc:oup:ajagec:v:78:y:1996:i:2:p:439-447
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    References listed on IDEAS

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    1. Kastens, Terry L. & Jones, Rodney D. & Schroeder, Ted C., 1998. "Futures-Based Price Forecasts For Agricultural Producers And Businesses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(01), July.
    2. Manfredo, Mark R. & Sanders, Dwight R., 2004. "The Value of Public Price Forecasts: Additional Evidence in the Live Hog Market," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 22(2).
    3. Brian D. Adam & Philip Garcia & Robert J. Hauser, 1996. "The Value of Information to Hedgers in the Presence of Futures and Options," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 18(3), pages 437-447.
    4. Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-259, April.
    5. Hoffman, Linwood A., 2004. "Using Futures Prices To Forecast The Season-Average U.S. Corn Prices," 2004 Conference, April 19-20, 2004, St. Louis, Missouri 19020, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    6. Brorsen, B. Wade & Irwin, Scott H., 1996. "Improving The Relevance Of Research On Price Forecasting And Marketing Strategies," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(1), April.
    7. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    8. Sanders, Dwight R. & Manfredo, Mark R., 2003. "USDA Livestock Price Forecasts: A Comprehensive Evaluation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(02), August.
    9. Lawrence, John D. & Grimes, Glenn, 2007. "Production and Marketing Characteristics of U.S. Pork Producers, 2006," Staff General Research Papers Archive 12828, Iowa State University, Department of Economics.
    10. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    11. Dwight R. Sanders & Mark R. Manfredo, 2005. "Forecast Encompassing as the Necessary Condition to Reject Futures Market Efficiency: Fluid Milk Futures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 610-620.
    12. Ashley, Richard, 2003. "Statistically significant forecasting improvements: how much out-of-sample data is likely necessary?," International Journal of Forecasting, Elsevier, vol. 19(2), pages 229-239.
    13. Aasim M. Husain & Chakriya Bowman, 2004. "Forecasting Commodity Prices; Futures Versus Judgment," IMF Working Papers 04/41, International Monetary Fund.
    14. Tonsor, Glynn T. & Dhuyvetter, Kevin C. & Mintert, James R., 2004. "Improving Cattle Basis Forecasting," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(02), August.
    15. Victoria Salin & Amy P. Thurow & Katherine R. Smith & Nicole Elmer, 1998. "Exploring the Market for Agricultural Economics Information: Views of Private Sector Analysts," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 20(1), pages 114-124.
    16. Bessler, David A. & Brandt, Jon A., 1992. "An analysis of forecasts of livestock prices," Journal of Economic Behavior & Organization, Elsevier, vol. 18(2), pages 249-263, July.
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