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Modeling Exit and Entry of Farmers in a Crop Insurance Program

Author

Listed:
  • Cabas, Juan H.
  • Leiva, Akssell J.
  • Weersink, Alfons
Abstract
This paper examines the factors influencing farmer participation in crop insurance schemes, but unlike previous studies that focus on total demand, participation is disaggregated into entrants and those exiting. Modeling entry and exit decisions separately illustrates that the effect of a given variable is often muted by aggregation. In addition, the approach in this paper distinguishes between price and yield variables rather than total returns and is consequently able to demonstrate that price variables are particularly important for farmers considering enrolling in crop insurance, while yield variables and other risk management opportunities are more important for farmers who have been in the program but are deciding to exit. The result suggests that moral hazard is reduced significantly by calculating the coverage yield level for an individual producer on the basis of a moving average of past yields for that farmer. While yield and its variance are particularly influential in the participation decision for farmers currently enrolled, its significant impact on the insurance decision for all farmers highlights the importance of crop insurance as a potential adaptation strategy to weather events.

Suggested Citation

  • Cabas, Juan H. & Leiva, Akssell J. & Weersink, Alfons, 2008. "Modeling Exit and Entry of Farmers in a Crop Insurance Program," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 37(1), pages 1-14, April.
    • Handle: RePEc:ags:arerjl:44741
    DOI: 10.22004/ag.econ.44741
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    References listed on IDEAS

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    Cited by:

    1. Salazar, Cesar & Jaime, Marcela & Pinto, Cristian & Acuna, Andres, 2019. "Interaction between crop insurance and technology adoption decisions: The case of wheat farmers in Chile," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(3), July.
    2. 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.
    3. Davidson, Kelly A. & Goodrich, Brittney K., 2020. "Nudge to Insure: Can Informational Nudges Increase Enrollment in Pasture, Rangeland and Forage Rainfall Index Insurance?," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304550, Agricultural and Applied Economics Association.
    4. Finger, Robert & Lehmann, Niklaus, 2011. "Do Direct Payments Influence Farmers' Hail Insurance Decisions?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114355, European Association of Agricultural Economists.
    5. Marco Rogna & Günter Schamel & Alex Weissensteiner, 2023. "Modelling the switch from hail insurance to antihail nets," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(1), pages 118-136, January.
    6. 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.
    7. Azzam, Azzeddine & Walters, Cory & Kaus, Taylor, 2021. "Does subsidized crop insurance affect farm industry structure? Lessons from the U.S," Journal of Policy Modeling, Elsevier, vol. 43(6), pages 1167-1180.
    8. Ifft, Jennifer & Wu, Shang & Kuethe, Todd, 2014. "The Impact of Pasture Insurance on Farmland Values," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 43(3), pages 1-16, December.
    9. Poon, Kenneth, 2013. "Risky Business: Factors Affecting Participation Rate of AgriStability," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150978, Agricultural and Applied Economics Association.

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    Risk and Uncertainty;

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