Factors affecting the adoption of crop insurance, forward contracting, and spreading sales areanalyzed using multivariate and multinomial probit approaches that account for simultaneousadoption and/or correlation among the three risk management adoption decisions. Our empiricalresults suggest...

We review the implications of the 2007 Farm Bill for the risk management dimensions of U.S. agriculture and policy. Legislative proposals suggest significant changes in risk management policy, including the introduction of state or national revenue insurance. We also pursue an empirical analysis...

This article examines what differentiates "socially responsible" farmers (i.e., those who rank environmental benefits higher than profit, based on a Likert style ranking) from farmers who make decisions based solely on financial criteria. A proportional odds model (POM) is proposed to estimate...

Factors affecting the adoption of crop insurance, forward contracting, and spreading sales are analyzed using multivariate and multinomial probit approaches that account for simultaneous adoption and/or correlation among the three risk management adoption decisions. Our empirical results suggest...

The objective of this paper is to compare the accuracy of crop insurance rating methods based on historical liability and indemnity data (similar to the procedure currently used by the Risk Management Agency) and “yield distribution” approaches. Estimated rates are compared to “true”...

This paper examines how cotton farmers' perceptions about their spatial yield variability influence their decision to adopt precision farming technologies. Utilizing cross-section survey data from 12 Southeastern states and a two-step econometric modeling approach, we find that farmers who...

Precision Farming by Cotton Producers in Twelve Southern States: Results from the 2009 Southern Cotton Precision Farming Survey