Defines data mining as the extraction of potentially useful information from large databases. Shows how data mining can be applied to detecting anomalous behaviour in American agriculture and thus support the Risk Protection Agency in its compliance mission to detect fraud in crop insurance,...

A conceptual model based on opportunity cost and expected utility principles establishes linkages between the likelihood of prevented planting claims in crop insurance and existing share leasing arrangements/internal farm business structures. Results of heteroskedastic probit estimation...

Objective To evaluate the relationship between community well-being based on an index of marginalization and growth status of indigenous rural school children in Oaxaca.Methods Heights and weights of a cross-sectional sample of 11,454 children, 6-14 years, from schools for indigenous rural...

Purpose – This article seeks to examine the reference yield calculation method used in crop insurance rating and provides recommendations that could potentially improve actuarial performance of the Federal crop insurance program. Design/methodology/approach – Conceptual, numerical, and...

Purpose – The purpose of this research is to investigate the degree to which trends and structural change may have altered crop insurance expected loss cost ratios across time. Because loss experience is used to set rates for the program, these changes can impact the premiums paid by producers...