ACRE Program Payments and Risk Reduction: An Analysis Based on Simulations of Crop Revenue Variability
Robert Dismukes, Christine Arriola, Keith H. Coble, Dismukes, Robert, Arriola, Christine, Coble, Keith H.
Abstract
Open-access reader
Robert Dismukes, Christine Arriola, Keith H. Coble, Dismukes, Robert, Arriola, Christine, Coble, Keith H.
Abstract
Open-access reader
Crop revenue variability, which differs across crops and their growing regions and the geographic levels at which revenue is measured, is the focus of the Average Crop Revenue Election, an agricultural commodity program that was first available to producers in 2009. Using an empirically-based simulation model of an extensive set of representative farm acres of corn, soybeans, wheat and cotton, we analyze how ACRE payments would vary under different guarantee price and expected market price scenarios and how ACRE payments and risk reduction would be distributed across crops and regions.
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Crop revenue variability, which differs across crops and their growing regions and the geographic levels at which revenue is measured, is the focus of the Average Crop Revenue Election, an agricultural commodity program that was first available to producers in 2009. Using an empirically-based simulation model of an extensive set of representative farm acres of corn, soybeans, wheat and cotton, we analyze how ACRE payments would vary under different guarantee price and expected market price scenarios and how ACRE payments and risk reduction would be distributed across crops and regions.
Key concepts: Acre, Revenue, Payment, Agricultural economics, Crop, Crop insurance, Agricultural science, Economics