Modeling Exit and Entry of Farmers in a Crop Insurance Program
AbstractThis 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Northeastern Agricultural and Resource Economics Association in its journal Agricultural and Resource Economics Review.
Volume (Year): 37 (2008)
Issue (Month): 1 (April)
crop insurance; entry and exit; panel data; Risk and Uncertainty;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Adesina, Akinwumi A. & Brorsen, B. Wade, 1987. "A risk responsive acreage response function for millet in Niger," Agricultural Economics, Blackwell, vol. 1(3), pages 229-239, October.
- H. Douglas Jose & Ram S. K. Valluru, 1997. "Insights from the Crop Insurance Reform Act of 1994," Agribusiness, John Wiley & Sons, Ltd., vol. 13(6), pages 587-598.
- 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, 05.
- 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 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.