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Using Data Mining To Detect Anomalous Producer Behavior: An Analysis Of Soybean Production And The Federal Crop Insurance Program

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Author Info
Olson, Stacey
Little, Bertis
Lovell, Ashley
Abstract

The 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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File URL: http://purl.umn.edu/35223
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Publisher Info
Paper provided by Southern Agricultural Economics Association in its series 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama with number 35223.

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Date of creation: 2003
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Handle: RePEc:ags:saeatm:35223

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Related research
Keywords: Risk and Uncertainty;

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This page was last updated on 2009-12-26.

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