Using Data Mining To Detect Anomalous Producer Behavior: An Analysis Of Soybean Production And The Federal Crop Insurance Program
AbstractThe analysis was conducted on the USDA's Risk Management Agency insurance data and NRCS Land Resource Regions from 1994 - 2001 to assist RMA in improving program integrity. The objective is to develop a data-mining algorithm that identifies anomalous producers and counties within LRRs based upon the percentage of acres harvested.
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Bibliographic InfoPaper provided by Southern Agricultural Economics Association in its series 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama with number 35223.
Date of creation: 2003
Date of revision:
Risk and Uncertainty;
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- 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.
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