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Analysis of the Supplemental Coverage Option

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  • Gerlt, Scott
  • Westhoff, Patrick

Abstract

The proposed Supplemental Coverage Option (SCO) crop insurance program is included in both the House and Senate farm bills. We develop a county level model to analyze program indemnities. The FAPRI-MU stochastic U.S. model is used to estimate market effects of the program. We find the net 10-year fiscal cost of SCO to be about $9.8 billion and $5.8 billion for the House and Senate bills, respectively. While corn and peanuts have the largest absolute payments per acre, wheat and peanuts have the highest relative effects in area and farm price. However, the market impacts of SCO are quite small.

Suggested Citation

  • Gerlt, Scott & Westhoff, Patrick, 2013. "Analysis of the Supplemental Coverage Option," 2013 AAEA: Crop Insurance and the Farm Bill Symposium 156704, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaeaci:156704
    DOI: 10.22004/ag.econ.156704
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    References listed on IDEAS

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    1. Richard E. Just & Quinn Weninger, 1999. "Are Crop Yields Normally Distributed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
    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. Schnitkey, Gary, 2012. "Crop Insurance in 2012," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 2, July.
    4. Phoebe Koundouri & Nikolaos Kourogenis, 2011. "On the Distribution of Crop Yields: Does the Central Limit Theorem Apply?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(5), pages 1341-1357.
    5. Keith H. Coble & Robert Dismukes, 2008. "Distributional and Risk Reduction Effects of Commodity Revenue Program Design ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(3), pages 543-553.
    6. Alan P. Ker & Barry K. Goodwin, 2000. "Nonparametric Estimation of Crop Insurance Rates Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 463-478.
    7. Octavio A. Ramirez & Sukant Misra & James Field, 2003. "Crop-Yield Distributions Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 108-120.
    8. Joseph Atwood & Saleem Shaik & Myles Watts, 2003. "Are Crop Yields Normally Distributed? A Reexamination," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 888-901.
    9. Roger Claassen & Richard E. Just, 2010. "Heterogeneity and Distributional Form of Farm-Level Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 144-160.
    10. Barry J. Barnett & Dmitry V. Vedenov, 2007. "Is There a Viable Market for Area-Based Crop Insurance?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 508-519.
    11. Alan P. Ker & Keith Coble, 2003. "Modeling Conditional Yield Densities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 291-304.
    12. 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.
    13. Ardian Harri & Keith H. Coble & Alan P. Ker & Barry J. Goodwin, 2011. "Relaxing Heteroscedasticity Assumptions in Area-Yield Crop Insurance Rating," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 703-713.
    14. Coble, Keith H. & Barnett, Barry J., 2008. "Implications of Integrated Commodity Programs and Crop Insurance," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(2), pages 431-442, August.
    15. 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.
    16. Joseph Cooper & Carl Zulauf & Michael Langemeier & Gary Schnitkey, 2012. "Implications of within county yield heterogeneity for modeling crop insurance premiums," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(1), pages 134-155, May.
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    Cited by:

    1. Xiaofei Li & Zhiwei Shen & Ardian Harri & Keith H. Coble, 2020. "Comparing survey-based and programme-based yield data: implications for the U.S. Agricultural Risk Coverage-County programme," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 184-202, January.

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    Keywords

    Agricultural and Food Policy; Demand and Price Analysis; Production Economics; Research Methods/ Statistical Methods; Risk and Uncertainty;
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