Selected risk programming solutions (i.e., profit maximization, Target-MOTAD, and MOTAD) are tested in an economic environment outside the data set from which they were developed. Specifically, solutions are derived from either a longer 10-year (1965-74) or shorter 6-year estimation period...

The objective of this paper is to examine the potential impacts of crop insurance on farm economic structure using Nebraska county level data from 1980-1998. Using a profit function we fit input demand and output supply equations accounting for insurance premiums and indemnities to examine the...

An over-parameterized statistical yield-switching-fraud model is developed. Over-parameterized procedures are reviewed. Five percent of 206,952 producers (thirteen percent in one state) have suspicious yield patterns, elect higher coverage, and increase total multiple-unit indemnifications up to...

The objective of this paper is to examine the potential impacts of crop insurance on farm economic structure using Nebraska agriculture sector data from 1980-1997. We estimate the system of input demand (output supply) equations including policy premium (policy indemnity) in order to examine the...

This article demonstrates the importance of temporal-spatial yield, acreage and price risk apart from price in addressing the importance of optional unit provision in Federal crop insurance program. Specifically, based on 1998 U.S. cotton producers data, the demand for optional versus basic unit...

Utilizing ordered logit we examine the presence of two kinds of asymmetric information-adverse selection (intertemporal variability) and moral hazard (interspatial and/or residual variability) as revealed by the choice of optional units in Federal crop insurance utilizing Risk Management...

This study investigates the impact of risk preferences on economic efficiency scores. Risk averse individuals may be less likely to adopt new technologies and have lower production levels than individuals with other risk preferences. Nonparametric techniques are used to estimate cost and revenue...

Yield variability can be significantly higher at the farm level than at more aggregated levels, including the county. However, due to a dearth of available farm level data, much stochastic analysis involving farm yields utilizes more aggregated yield data as a proxy for the farm level. We...

The risk attitudes of dryland wheat and irrigated corn enterprises in Kansas have been examined in this paper using the nonlinear mean-standard deviation approach. Our results showed that dryland wheat enterprises are characterized by increasing absolute and increasing relative risk aversion....

Using a non-parametric linear programming approach, our contribution is (1) to examine the impact of incorporating risk in efficiency analysis and (2) to compare the efficiency measures with and without risk for continuous and rotation cropping systems. The model uses Nebraska cropping system...