IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/86379.html
   My bibliography  Save this paper

I Learn, You Learn, We Gain. Experience in Crop Insurance Markets

Author

Listed:
  • Santeramo, Fabio Gaetano

Abstract

The relevance and the impact of experience in insurance markets are underinvestigated. From Italian farm-level data we estimate a dynamic discrete choice model of participation to investigate the role of experience. The methodology, coupled with exploratory analysis, allows one to compare how different sources of experience influence the crop insurance decision making process. We found that direct experience is a catalyst for insurance participation of medium and large farms. The experience indirectly acquired is also relevant, especially for small farms. Policy implications are discussed: in particular, we discuss on the importance of information campaigns and of bolstering uptake to exploit the advantages of the inertia and spillover effects that emerge from experience.

Suggested Citation

  • Santeramo, Fabio Gaetano, 2016. "I Learn, You Learn, We Gain. Experience in Crop Insurance Markets," MPRA Paper 86379, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:86379
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/86379/1/MPRA_paper_86379.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
    2. Shawn Cole & Daniel Stein & Jeremy Tobacman, 2014. "Dynamics of Demand for Index Insurance: Evidence from a Long-Run Field Experiment," American Economic Review, American Economic Association, vol. 104(5), pages 284-290, May.
    3. 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.
    4. Zhiwei Shen & Martin Odening & Ostap Okhrin, 2016. "Can expert knowledge compensate for data scarcity in crop insurance pricing?," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 43(2), pages 237-269.
    5. Bruce J. Sherrick & Peter J. Barry & Paul N. Ellinger & Gary D. Schnitkey, 2004. "Factors Influencing Farmers' Crop Insurance Decisions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 103-114.
    6. Luisa Menapace & Gregory Colson & Roberta Raffaelli, 2016. "A comparison of hypothetical risk attitude elicitation instruments for explaining farmer crop insurance purchases," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 43(1), pages 113-135.
    7. Joseph W. Glauber, 2013. "The Growth Of The Federal Crop Insurance Program, 1990--2011," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 482-488.
    8. Fabio Gaetano Santeramo, 2018. "Imperfect information and participation in insurance markets: evidence from Italy," Agricultural Finance Review, Emerald Group Publishing, vol. 78(2), pages 183-194, April.
    9. Tor N. Tolhurst & Alan P. Ker, 2015. "On Technological Change in Crop Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 137-158.
    10. Amy Finkelstein & Kathleen McGarry, 2006. "Multiple Dimensions of Private Information: Evidence from the Long-Term Care Insurance Market," American Economic Review, American Economic Association, vol. 96(4), pages 938-958, September.
    11. Stein, Daniel, 2014. "Dynamics of demand for rainfall index insurance : evidence from a commercial product in India," Policy Research Working Paper Series 7035, The World Bank.
    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. Jean Cordier & Fabio Santeramo, 2020. "Mutual Funds and the Income Stabilisation Tool in the EU: Retrospect and Prospects," EuroChoices, The Agricultural Economics Society, vol. 19(1), pages 53-58, April.
    2. Marco Rogna & Günter Schamel & Alex Weissensteiner, 2019. "Modeling the Switch from Hail Insurance to Anti-Hail Nets," BEMPS - Bozen Economics & Management Paper Series BEMPS64, Faculty of Economics and Management at the Free University of Bozen.
    3. Giampietri, Elisa & Yu, Xiaohua & Trestini, Samuele, 2020. "The role of trust and perceived barriers on farmer’s intention to adopt risk management tools," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(1), April.
    4. Coletta, Attilio & Giampietri, Elisa & Santeramo, Fabio Gaetano & Severini, Simone & Trestini, Samuele, 2018. "A preliminary test on risk and ambiguity attitudes, and time preferences in decisions under uncertainty: towards a better explanation of participation in crop insurance schemes," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 7(3), December.
    5. Angela Barbuto & Antonio Lopolito & Fabio Gaetano Santeramo, 2019. "Improving diffusion in agriculture: an agent-based model to find the predictors for efficient early adopters," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-12, December.
    6. Santeramo, Fabio Gaetano & Lamonaca, Emilia, 2020. "Objective risk and subjective risk: The role of information in food supply chains," MPRA Paper 104515, University Library of Munich, Germany.

    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. Giampietri, Elisa & Yu, Xiaohua & Trestini, Samuele, 2020. "The role of trust and perceived barriers on farmer’s intention to adopt risk management tools," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(1), April.
    2. Trestini, Samuel & Giampietri, Elisa & Smiglak-Krajewska, Magdalena, 2018. "Farmer behaviour towards the agricultural risk management tools provided by the CAP: a comparison between Italy and Poland," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 271978, European Association of Agricultural Economists.
    3. Rosch, Stephanie D., 2017. "Risk Attitudes of US Agricultural Producers," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258025, Agricultural and Applied Economics Association.
    4. Gunnsteinsson, Snaebjorn, 2020. "Experimental identification of asymmetric information: Evidence on crop insurance in the Philippines," Journal of Development Economics, Elsevier, vol. 144(C).
    5. Renuka Sane & Susan Thomas, 2020. "From Participation To Repurchase: Low Income Households And Micro‐insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(3), pages 783-814, September.
    6. 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.
    7. Singh, Nirvikar, 2018. "Financial Inclusion: Concepts, Issues and Policies for India," Santa Cruz Department of Economics, Working Paper Series qt98p5m37s, Department of Economics, UC Santa Cruz.
    8. Takahashi, Kazushi & Noritomo, Yuma & Ikegami, Munenobu & Jensen, Nathaniel D., 2020. "Understanding pastoralists’ dynamic insurance uptake decisions: Evidence from four-year panel data in Ethiopia," Food Policy, Elsevier, vol. 95(C).
    9. Shukri Ahmed & Craig McIntosh & Alexandros Sarris, 2020. "The Impact of Commercial Rainfall Index Insurance: Experimental Evidence from Ethiopia," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1154-1176, August.
    10. Liesivaara, Petri & Myyrä, Sami, 2014. "Government policies in changing climate and the demand for crop insurance," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170520, Agricultural Economics Society.
    11. 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.
    12. Xiaodong Du & Hongli Feng & David A. Hennessy, 2017. "Rationality of Choices in Subsidized Crop Insurance Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 732-756.
    13. Michler, Jeffrey & Shively, Gerald, 2016. "Agricultural Production, Weather Variability, and Technical Change: 40 Years of Evidence from Indi," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236342, Agricultural and Applied Economics Association.
    14. Xiaodong Du & David A. Hennessy & Hongli Feng, 2014. "A Natural Resource Theory of U.S. Crop Insurance Contract Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 232-252.
    15. Dougherty, John P. & Flatnes, Jon Einar & Gallenstein, Richard A. & Miranda, Mario J. & Sam, Abdoul G., 2020. "Climate change and index insurance demand: Evidence from a framed field experiment in Tanzania," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 155-184.
    16. Teresa Molina Millan & Karen Macours, 2017. "Attrition in randomized control trials: Using tracking information to correct bias," NOVAFRICA Working Paper Series wp1702, Universidade Nova de Lisboa, Faculdade de Economia, NOVAFRICA.
    17. Deryugina, Tatyana, 2012. "Does Selection in Insurance Markets Always Favor Buyers?," MPRA Paper 53583, University Library of Munich, Germany.
    18. Che, Yuyuan & Feng, Hongli & Hennessy, David A., 2017. "The Geography and Psychology of Participation in U.S. Federal Crop Insurance Programs," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259190, Agricultural and Applied Economics Association.
    19. Marco Rogna & Günter Schamel & Alex Weissensteiner, 2019. "Choosing between Hail Insurance and Anti-Hail Nets: A Simple Model and a Simulation among Apples Producers in South Tyrol," BEMPS - Bozen Economics & Management Paper Series BEMPS62, Faculty of Economics and Management at the Free University of Bozen.
    20. 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.

    More about this item

    Keywords

    Direct Experience; Dynamic Probit; Imperfect Knowledge; Indirect Experience; State Dependence;
    All these keywords.

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • 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
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy

    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:pra:mprapa:86379. 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: (Joachim Winter). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.