USING DATA MINING TO DETECT ANOMALOUS PRODUCER BEHAVIOR: AN ANALYSIS OF SOYBEAN PRODUCTION AND THE FEDERAL CROP INSURANCE PROGRAM

Stacey Olson, Bertis B. Little and Ashley C. Lovell

No 35223, 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama from Southern Agricultural Economics Association

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.

Keywords: Risk; and; Uncertainty (search for similar items in EconPapers)
Pages: 12
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:ags:saeatm:35223

DOI: 10.22004/ag.econ.35223

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