ACRE: A Revenue-Based Alternative to Price-Based Commodity Payment Programs
Joseph Cooper ()
No 49180, 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin from Agricultural and Applied Economics Association
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 is, marketing loan benefits and counter-cyclical payments. We minimize the potential for miss-specification bias in the model by using nonparametric and semi-nonparametric approaches as specification checks in the model. Our simulation results show that adding ACRE revenue payments to gross revenue reduced the downside risk in revenue for corn, wheat, and soybean farmers in 2009 in the four locations examined, with reductions ranging from 4% to 25%. Integrating Federal crop insurance with ACRE lowered insurance premiums from 10% to 40%, depending on the crop and location. A utility maximization approach is used to assess potential moral hazard effects of ACRE, and suggest little potential impact on acreage in the Heartland.
Keywords: Agricultural and Food Policy; Demand and Price Analysis (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-agr
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea09:49180
Access Statistics for this paper
More papers in 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().