IDEAS home Printed from https://ideas.repec.org/a/cup/agrerw/v32y2003i02p244-258_00.html
   My bibliography  Save this article

Determinants of Anomalous Prevented Planting Claims: Theory and Evidence from Crop Insurance

Author

Listed:
  • Rejesus, Roderick M.
  • Lovell, Ashley C.
  • Little, Bertis B.
  • Cross, Mike H.

Abstract

This study examines the factors that determine the likelihood of submitting a potentially fraudulent prevented planting claim. A theoretical model is developed and the theoretical predictions are empirically verified by utilizing a binary choice model and crop insurance data from the southern United States. The empirical results show that insured producers with higher prevented planting coverage, lower dollar value of expected yield, and a history of submitting prevented planting claims are more likely to submit an anomalous prevented planting claim. The empirical model also suggests revenue insurance plans may be more vulnerable to prevented planting fraud than the traditional yield-based insurance plan. Results of this study can be valuable to compliance offices in their efforts to find “indicators” of fraudulent behavior in crop insurance, especially with regard to prevented planting.

Suggested Citation

  • Rejesus, Roderick M. & Lovell, Ashley C. & Little, Bertis B. & Cross, Mike H., 2003. "Determinants of Anomalous Prevented Planting Claims: Theory and Evidence from Crop Insurance," Agricultural and Resource Economics Review, Cambridge University Press, vol. 32(2), pages 244-258, October.
    • Handle: RePEc:cup:agrerw:v:32:y:2003:i:02:p:244-258_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1068280500006018/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. John C. Quiggin & Giannis Karagiannis & J. Stanton, 1993. "Crop Insurance And Crop Production: An Empirical Study Of Moral Hazard And Adverse Selection," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 37(2), pages 95-113, August.
    2. Charles E. Hyde & James A. Vercammen, 1997. "Costly Yield Verification, Moral Hazard, And Crop Insurance Contract Form," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 393-407, January.
    3. Keith H. Coble & Thomas O. Knight & Rulon D. Pope & Jeffery R. Williams, 1997. "An Expected-Indemnity Approach to the Measurement of Moral Hazard in Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 216-226.
    4. John K. Horowitz & Erik Lichtenberg, 1993. "Insurance, Moral Hazard, and Chemical Use in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 926-935.
    5. Vincent H. Smith & Barry K. Goodwin, 1996. "Crop Insurance, Moral Hazard, and Agricultural Chemical Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 428-438.
    6. Picard, Pierre, 1996. "Auditing claims in the insurance market with fraud: The credibility issue," Journal of Public Economics, Elsevier, vol. 63(1), pages 27-56, December.
    7. Townsend, Robert M., 1979. "Optimal contracts and competitive markets with costly state verification," Journal of Economic Theory, Elsevier, vol. 21(2), pages 265-293, October.
    8. Robert G. Chambers, 1989. "Insurability and Moral Hazard in Agricultural Insurance Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 604-616.
    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. Taehoo Kim & Man‐Keun Kim, 2018. "Ex‐post moral hazard in prevented planting," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 671-680, November.
    2. Yufei Jin & Roderick Rejesus & Bertis Little, 2005. "Binary choice models for rare events data: a crop insurance fraud application," Applied Economics, Taylor & Francis Journals, vol. 37(7), pages 841-848.
    3. Shenan Wu & Barry K. Goodwin & Keith Coble, 2020. "Moral hazard and subsidized crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 131-142, January.
    4. Yuehua Zhang & Ying Cao & H. Holly Wang, 2018. "Cheating? The Case of Producers’ Under‐Reporting Behavior in Hog Insurance in China," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(3), pages 489-510, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joseph A. Atwood & James F. Robison-Cox & Saleem Shaik, 2006. "Estimating the Prevalence and Cost of Yield-Switching Fraud in the Federal Crop Insurance Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 365-381.
    2. Atwood, Joseph A. & Robinson-Cox, Jim & Shaik, Saleem, 2004. "A Statistical Examination Of Yield Switching Fraud In The Federal Crop Insurance Program," 2004 Annual meeting, August 1-4, Denver, CO 19983, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. repec:ags:aaea22:335431 is not listed on IDEAS
    4. Shaik, Saleem & Atwood, Joseph A., 2002. "Optional Unit Policy In Crop Insurance," 2002 Annual meeting, July 28-31, Long Beach, CA 19741, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Rao, Xudong & Cai, Qingyin & Zhang, Yuehua, 2021. "Moral Hazard in Compulsory Insurance – Evidence from a Quasi-Experiment on Hog Insurance in China," 2021 Conference, August 17-31, 2021, Virtual 315356, International Association of Agricultural Economists.
    6. Jisang Yu & Nathan P. Hendricks, 2020. "Input Use Decisions with Greater Information on Crop Conditions: Implications for Insurance Moral Hazard and the Environment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 826-845, May.
    7. Coleman, Jane A. & Shaik, Saleem, 2009. "Time-Varying Estimation of Crop Insurance Program in Altering North Dakota Farm Economic Structure," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49516, Agricultural and Applied Economics Association.
    8. Feng, Shuaizhang & Han, Yujie & Qiu, Huanguang, 2021. "Does crop insurance reduce pesticide usage? Evidence from China," China Economic Review, Elsevier, vol. 69(C).
    9. Sankalp Sharma & Cory G. Walters, 2020. "Influence of farm size and insured type on crop insurance returns," Agribusiness, John Wiley & Sons, Ltd., vol. 36(3), pages 440-452, June.
    10. Tang, Lin & Luo, Xiaofeng, 2021. "Can agricultural insurance encourage farmers to apply biological pesticides? Evidence from rural China," Food Policy, Elsevier, vol. 105(C).
    11. Liguo Zhang & Xuerong Li, 2016. "The Impact of Traditional Culture on Farmers’ Moral Hazard Behavior in Crop Production: Evidence from China," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
    12. Shaik, Saleem & Atwood, Joseph A., 2000. "Estimating The Demand Of Crop Insurance And Supply Of Indemnity Payments: Nebraska Agriculture Sector," 2000 Annual meeting, July 30-August 2, Tampa, FL 21795, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Yu, Jisang & Smith, Aaron & Sumner, Daniel A., 2016. "The Effects of the Premium Subsidies in the U.S. Federal Crop Insurance Program on Crop Acreage," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236022, Agricultural and Applied Economics Association.
    14. Shaik, Saleem & Atwood, Joseph A., 2002. "An Examination Of Different Types Of Adverse Selection In Federal Crop Insurance," 2002 Annual Meeting, July 28-31, 2002, Long Beach, California 36649, Western Agricultural Economics Association.
    15. Yu, Jisang & Hendricks, Nathan P., 2017. "Crop Insurance Moral Hazard from Price and Weather Forecasts," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258336, Agricultural and Applied Economics Association.
    16. Arora, Gaurav & Agarwal, Sandip K., 2020. "Agricultural input use and index insurance adoption: Concept and evidence," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304508, Agricultural and Applied Economics Association.
    17. Glauber, Joseph W., 2017. "Agricultural insurance and the WTO:," IFPRI book chapters, in: Bouët, Antoine & Laborde Debucquet, David (ed.), Agriculture, development, and the global trading system: 2000– 2015, chapter 10, International Food Policy Research Institute (IFPRI).
    18. Chongshang Zhang & Kaiyu Lyu & Chi Zhang, 2024. "The Impact of Crop Insurance on Fertilizer Use: Evidence from Grain Producers in China," Agriculture, MDPI, vol. 14(3), pages 1-13, March.
    19. He, Juan & Zheng, Xiaoyong & Rejesus, Roderick & Yorobe, Jose Jr, 2016. "Estimating the Effect of Crop Insurance on Input Use When Insured Farmers are Monitored," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235225, Agricultural and Applied Economics Association.
    20. Jeremy G. Weber & Nigel Key & Erik O’Donoghue, 2016. "Does Federal Crop Insurance Make Environmental Externalities from Agriculture Worse?," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(3), pages 707-742.
    21. He, Juan & Zheng, Xiaoyong & Rejesus, Roderick M. & Yorobe Jr., Jose M., 2019. "Moral hazard and adverse selection effects of cost-of-production crop insurance: evidence from the Philippines," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(1), January.

    More about this item

    Statistics

    Access and download statistics

    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:cup:agrerw:v:32:y:2003:i:02:p:244-258_00. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/age .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.