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

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  • 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
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    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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)

    More about this item

    Keywords

    Direct Experience; Dynamic Probit; Imperfect Knowledge; Indirect Experience; State Dependence;

    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

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