IDEAS home Printed from https://ideas.repec.org/p/ags/eaa101/9266.html
   My bibliography  Save this paper

Revisiting the demand of agricultural insurance: The case of Spain

Author

Listed:
  • Garrido, Alberto
  • Zilberman, David

Abstract

We use the actual insurance records of 52,300 farmers and 11 years to estimate two sets of insurance demands. We define measures of insurance's expected returns, variance and third moment, based on observed insurance data, and infer the expected returns for those farmers that have never had an indemnity. We estimate several probit models and count models for the insuring vs non-insuring strategies, in which the economic returns of insurance and its two measures of dispersion enter as explanatory variables. Results show that farmers' insurance strategies are largely explained by their actual insurance experience as captured by these three variables. Individuals with loss rations greater than 1 do not show more responsiveness that those facing more balanced premium charges. Results show that adverse selection may not be a major source of inefficiency in the Spanish insurance system.

Suggested Citation

  • Garrido, Alberto & Zilberman, David, 2007. "Revisiting the demand of agricultural insurance: The case of Spain," 101st Seminar, July 5-6, 2007, Berlin Germany 9266, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa101:9266
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/9266
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Quiggin, John C. & Karagiannis, Giannis & Stanton, J., 1993. "Crop Insurance And Crop Production: An Empirical Study Of Moral Hazard And Adverse Selection," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 37(02), August.
    2. Moschini, Giancarlo & Hennessy, David A., 2001. "Uncertainty, risk aversion, and risk management for agricultural producers," Handbook of Agricultural Economics,in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 2, pages 88-153 Elsevier.
    3. 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.
    4. Nimon, R. Wesley & Mishra, Ashok K., 2001. "Revenue Insurance and Chemical Input Use Rates," 2001 Annual meeting, August 5-8, Chicago, IL 20669, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. 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.
    6. Bruce A. Babcock & David A. Hennessy, 1996. "Input Demand under Yield and Revenue Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 416-427.
    7. Barnett, Barry J., 2004. "Agricultural Index Insurance Products: Strengths And Limitations," Agricultural Outlook Forum 2004 32971, United States Department of Agriculture, Agricultural Outlook Forum.
    8. 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.
    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. F. G. Santeramo & B. K. Goodwin & F. Adinolfi & F. Capitanio, 2016. "Farmer Participation, Entry and Exit Decisions in the Italian Crop Insurance Programme," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 639-657, September.
    2. Ramsey, Austin Ford & Santeramo, Fabio Gaetano, 2017. "Crop Insurance in the European Union: Lessons and Caution from the United States," MPRA Paper 79164, University Library of Munich, Germany.
    3. Soliwoda, Michal, 2016. "Crop and livestock insurance in Poland reconsidered: challenges from the perspective of agricultural policy," 156th Seminar, October 4, 2016, Wagenigen, The Netherlands 249991, European Association of Agricultural Economists.
    4. Enjolras, Geoffroy & Capitanio, Fabian & Adinolfi, Felice, 2012. "The Demand for Crop Insurance: Combined Approaches for France and Italy," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(1), January.
    5. Di Falco, Salvatore & Capitanio, Fabian & Adinolfi, Felice, 2011. "Natural Vs Financial Insurance in the Management of Weather Risk Exposure in the Italian Agriculture," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114325, European Association of Agricultural Economists.
    6. Dimitar Nikolov & Sergio Gomez-y-Paloma & Minka Chopeva & Marianne Lefebvre, 2014. "Main Factors of the Development and Attractiveness of the Insurance Market for the Agricultural Companies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 99-121.
    7. Robert Finger & Niklaus Lehmann, 2012. "The influence of direct payments on farmers’ hail insurance decisions," Agricultural Economics, International Association of Agricultural Economists, vol. 43(3), pages 343-354, May.
    8. Xiaojuan Yang & Yuan Liu & Wei Bai & Buchun Liu, 2015. "Evaluation of the crop insurance management for soybean risk of natural disasters in Jilin Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 587-599, March.
    9. Robert Aidoo & James Osei Mensah & Prosper Wie & Dadson Awunyo-vitor, 2014. "Prospects of Crop Insurance as a Risk Management Tool among Arable Crop Farmers in Ghana," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(3), pages 341-354, March.
    10. Liu, Xianglin & Tang, Yingmei & Miranda, Mario J., 2015. "Does Past Experience in Natural Disasters Affect Willingness-to-Pay for Weather Index Insurance? Evidence from China," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205374, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    11. Dimitre NIKOLOV & Minka CHOPEVA, 2016. "Assessment Of Factors Influencing Farm Insurance In Bulgaria Through Probability Statistical Methods," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 13(1), pages 3-12.
    12. Garrido, Alberto & Bielza, Maria, 2008. "Income Stabilisation in a Changing Agricultural World: Policy and Tools," 108th Seminar, February 8-9, 2008, Warsaw, Poland 48108, European Association of Agricultural Economists.
    13. Liesivaara, Petri & Myyrä, Sami, 2017. "The demand for public–private crop insurance and government disaster relief," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 19-34.
    14. Enjolras, Geoffroy & Sentis, P., 2008. "The Main Determinants of Insurance Purchase: An Empirical Study on Crop Insurance Policies in France," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44395, European Association of Agricultural Economists.
    15. Margarita Genius & Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2014. "Information Transmission in Irrigation Technology Adoption and Diffusion: Social Learning, Extension Services, and Spatial Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 328-344.
    16. Dolores Rey & Alberto Garrido & Javier Calatrava, 2016. "Comparison of Different Water Supply Risk Management Tools for Irrigators: Option Contracts and Insurance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(2), pages 415-439, October.

    More about this item

    Keywords

    Agricultural insurance; insurance demand models; Spain; Risk and Uncertainty; G22; Q12; Q14;

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance

    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:ags:eaa101:9266. 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: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/eaaeeea.html .

    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.