Showing 1 - 6 of 6
This paper develops a stochastic model for estimating the probability density function of the Average Crop Revenue Election (ACRE), a revenue-based commodity support payment that is offered under the 2008 Farm Act as an alternative to the traditional suite of price-based commodity payments, that...
Persistent link: https://www.econbiz.de/10009444687
This paper develops a stochastic model for comparing payments to U.S. corn producers under the U.S. Senate’s Average Crop Revenue Program (ACR) versus payments under the price-based marketing loan benefit and countercyclical payment programs. Using this model, the paper examines the...
Persistent link: https://www.econbiz.de/10009444753
This paper develops a stochastic model for comparing payments to U.S. corn producers of a revenue-based counter-cyclical payment (R-CCP) that is offered as an alternative in the 2007 House "Farm Bill" (H.R. 2419) to the current price-based CCP (P-CCP). We minimize the potential for...
Persistent link: https://www.econbiz.de/10005804632
This paper develops a stochastic model for comparing payments to U.S. corn producers under the U.S. Senate’s Average Crop Revenue Program (ACR) versus payments under the price-based marketing loan benefit and countercyclical payment programs. Using this model, the paper examines the...
Persistent link: https://www.econbiz.de/10004979489
This paper develops a stochastic model for estimating the probability density function of the Average Crop Revenue Election (ACRE), a revenue-based commodity support payment that is offered under the 2008 Farm Act as an alternative to the traditional suite of price-based commodity payments, that...
Persistent link: https://www.econbiz.de/10005060395
This paper develops a stochastic model for estimating potential loan deficiency payments to U.S. corn producers in a discrete-dynamic context. We minimize the potential for misspecification bias by using nonparametric and semi-nonparametric approaches as specification checks in the model. The...
Persistent link: https://www.econbiz.de/10005476732