IDEAS home Printed from https://ideas.repec.org/a/eme/afrpps/v72y2012i1p134-155.html
   My bibliography  Save this article

Implications of within county yield heterogeneity for modeling crop insurance premiums

Author

Listed:
  • Joseph Cooper
  • Carl Zulauf
  • Michael Langemeier
  • Gary Schnitkey

Abstract

Purpose - Farm level data are essential to accurate setting of crop insurance premium rates, but their time series tends to be too short to allow them to be the sole data source. County level data are available in longer time series, however. The purpose of this paper is to present a methodology to make full use of the information inherent in each of these data sets. Design/methodology/approach - The paper uses a novel application of statistical tools for using farm and county level yield data to generate farm level yield densities that explicitly incorporate within county yield heterogeneity while accounting for systemic risk and other spatial or intertemporal correlations among farms within the county. Findings - The empirical analysis shows that current approaches used by the Risk Management Agency to individualize premiums for a farm result in substantial mispricing of crop insurance premiums because they do not adequately capture farm yield variability and yield correlations between farms. The new premium setting method is empirically shown to substantially reduce government subsidies for crop insurance premiums. Originality/value - The paper demonstrates how to extract more information from available data when setting crop insurance premiums, which allows the government to more closely tailor premiums to the farm than do current approaches.

Suggested Citation

  • 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, vol. 72(1), pages 134-155, May.
  • Handle: RePEc:eme:afrpps:v:72:y:2012:i:1:p:134-155
    as

    Download full text from publisher

    File URL: http://www.emeraldinsight.com/10.1108/00021461211222213?utm_campaign=RePEc&WT.mc_id=RePEc
    Download Restriction: Access to full text is restricted to subscribers

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cooper, Joseph, 2009. "Payments under the Average Crop Revenue Program: Implications for Government Costs and Producer Preferences," Agricultural and Resource Economics Review, Cambridge University Press, pages 49-64.
    2. Michael Popp & Margot Rudstrom & Patrick Manning, 2005. "Spatial Yield Risk Across Region, Crop and Aggregation Method," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 53(2-3), pages 103-115, June.
    3. Bruce A. Babcock & Chad E. Hart & Dermot J. Hayes, 2004. "Actuarial Fairness of Crop Insurance Rates with Constant Rate Relativities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 563-575.
    4. Thomas O. Knight & Keith H. Coble & Barry K. Goodwin & Roderick M. Rejesus & Sangtaek Seo, 2010. "Developing Variable Unit-Structure Premium Rate Differentials in Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 141-151.
    5. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics,in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339 Elsevier.
    6. 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.
    7. 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.
    8. Agulló, Jose & Croux, Christophe & Van Aelst, Stefan, 2008. "The multivariate least-trimmed squares estimator," Journal of Multivariate Analysis, Elsevier, vol. 99(3), pages 311-338, March.
    9. Harwood, Joy L. & Heifner, Richard G. & Coble, Keith H. & Perry, Janet E. & Somwaru, Agapi, 1999. "Managing Risk in Farming: Concepts, Research, and Analysis," Agricultural Economics Reports 34081, United States Department of Agriculture, Economic Research Service.
    10. Richard E. Just & Linda Calvin & John Quiggin, 1999. "Adverse Selection in Crop Insurance: Actuarial and Asymmetric Information Incentives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 834-849.
    11. repec:oup:revage:v:30:y:2008:i:3:p:543-553. is not listed on IDEAS
    12. Joseph C. Cooper, 2010. "Average Crop Revenue Election: A Revenue-Based Alternative to Price-Based Commodity Payment Programs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1214-1228.
    13. Goodwin, Barry K., 1994. "Premium Rate Determination In The Federal Crop Insurance Program: What Do Averages Have To Say About Risk?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(02), December.
    14. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics,in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339 Elsevier.
    15. 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.
    16. Calm G. Turvey, 1992. "An Economic Analysis of Alternative Farm Revenue Insurance Policies," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 40(3), pages 403-426, November.
    17. Charles B. Moss & J. S. Shonkwiler, 1993. "Estimating Yield Distributions with a Stochastic Trend and Nonnormal Errors," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 1056-1062.
    18. Vitor Ozaki & Barry Goodwin & Ricardo Shirota, 2008. "Parametric and nonparametric statistical modelling of crop yield: implications for pricing crop insurance contracts," Applied Economics, Taylor & Francis Journals, vol. 40(9), pages 1151-1164.
    19. 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.
    20. Paul Embrechts, 2009. "Copulas: A Personal View," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 639-650.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cooper, Joseph & Delbecq, Benoît, 0. "A multi-region approach to assessing fiscal and farm level consequences of government support for farm risk management," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), issue 3.
    2. Cooper, Joseph & Hungerford, Ashley & O'Donoghue, Erik, 2015. "Interactions of Shallow Loss Support and Traditional Federal Crop Insurance: Building a Framework for Assessing Commodity Support Issues for the Next Farm Act," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205310, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    3. Gerlt, Scott & Westhoff, Patrick, 2013. "Analysis of the Supplemental Coverage Option," 2013 AAEA: Crop Insurance and the Farm Bill Symposium, October 8-9, Louisville, KY 156704, Agricultural and Applied Economics Association.
    4. Zulauf, Carl R. & Demircan, Vecdi & Scnhitkey, Gary & Barnaby, Glenn Arthur, Jr. & Ibendahl, Gregg & Herbel, Kevin, 2013. "Examining Contemporaneous Farm and County Losses Using Farm Level Data," 2013 AAEA: Crop Insurance and the Farm Bill Symposium, October 8-9, Louisville, KY 157812, Agricultural and Applied Economics Association.
    5. Cooper, Joseph C. & Delbecq, Benoit A. & Davis, Christopher G., 2012. "Fiscal and Farm Level Consequences of “Shallow Loss” Commodity Support," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124199, Agricultural and Applied Economics Association.
    6. Gerlt, Scott & Westhoff, Patrick, "undated". "Comparison of County ARC and SCO," 2014 AAEA: Crop Insurance and the 2014 Farm Bill Symposium: Implementing Change in U.S. Agricultural Policy, October 8-9, Louisville, KY 184289, Agricultural and Applied Economics Association.
    7. Gerlt, Scott & Thompson, Wyatt & Miller, Douglas, 2014. "Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), August.
    8. Zulauf, Carl R. & Orden, David, 2014. "Assessing the Political Economy of the 2014 U.S. Farm Bill," Proceedings Issues, 2014: Food, Resources and Conflict, December 7-9, 2014, San Diego, California 197160, International Agricultural Trade Research Consortium.
    9. Orden, David & Zulauf, Carl R., 2015. "The Political Economy of the 2014 Farm Bill," 2015 Allied Social Science Association (ASSA) Annual Meeting, January 3-5, 2015, Boston, Massachusetts 189692, Agricultural and Applied Economics Association.
    10. Zulauf, Carl & Orden, David, 2014. "The US Agricultural Act of 2014: Overview and analysis:," IFPRI discussion papers 1393, International Food Policy Research Institute (IFPRI).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:afrpps:v:72:y:2012:i:1:p:134-155. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Virginia Chapman). General contact details of provider: http://www.emeraldinsight.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.