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

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.
Year of publication:
2003
Authors: Olson, Stacey ; Little, Bertis B. ; Lovell, Ashley C.
Institutions: Southern Agricultural Economics Association - SAEA
Subject: Risk and Uncertainty
Extent:
application/pdf
Series:
Type of publication: Book / Working Paper
Notes:
The text is part of a series 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama Number 35223
Source:
Persistent link: https://www.econbiz.de/10005038897
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