This paper assesses the impacts of decoupled government transfers on production decisions of a sample of Kansas farms observed from 1996 to 2001. Our model allows for risk, risk attitudes and the intertemporal investment decisions. We also allow for different adjustments of the decision...

Productivity and characteristics of southern agricultural economics faculty was compared to other regional faculty. With few exceptions, faculty members in the Southern region are as productive as their counterparts. We also found that the majority of respondents in all regions considered...

The objective of this paper is to develop a portfolio optimization technique that is simple enough for an individual with little knowledge of economic theory to systematically determine his own optimized portfolio. A compromise programming approach and a fuzzy logic approach are developed as...

A normalized quadratic input distance system is applied to estimate inverse demand relationships for wheat by class. Semi-nonparametric and Bayesian estimators are used to impose curvature on inputs and outputs. Price flexibilities are estimated for hard red winter, hard red spring, soft red...

Cross sectional time series data in a partial adjustment model examine local government behavior under an aggregate property tax levy limit and under Truth in Taxation in Kansas. Results indicate that the aggregate levy limit would have continued to restrict property tax revenue and spending had...

This paper examines the Multi-Product Asymptotically Ideal Production Model as an alternative to the translog and normalized quadratic functional forms using farm level data. Factors such as ease of estimation, imposition of regularity conditions, and quantitative differences in empirical...

Replaced with revised version of paper 01/26/06.

This study examines the performance of logistic regression, artificial neural networks and adaptive neuro-fuzzy inference system in predicting credit default using data from Farm Credit System. Empirical findings show that credit default predictions vary with empirical model used.