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ACRE: A Revenue-Based Alternative to Price-Based Commodity Payment Programs

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  • Cooper, Joseph C.

Abstract

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.

Suggested Citation

  • Cooper, Joseph C., 2009. "ACRE: A Revenue-Based Alternative to Price-Based Commodity Payment Programs," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49180, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea09:49180
    DOI: 10.22004/ag.econ.49180
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    References listed on IDEAS

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    Cited by:

    1. Mitchell, Paul D. & Rejesus, Roderick M. & Coble, Keith H. & Knight, Thomas O., 2011. "Analyzing Farmer Participation Intentions and Enrollment Rates for the Average Crop Revenue Election (ACRE) Program," Staff Paper Series 560, University of Wisconsin, Agricultural and Applied Economics.
    2. Mitchell, Paul D. & Rejesus, Roderick M. & Coble, Keith H. & Knight, Thomas O., 2010. "A Real Options Framework for Analyzing Program Participation as Human Capital Investments: The Case of the Average Crop Revenue Election (ACRE) Program," Staff Papers 92896, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.

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    Agricultural and Food Policy; Demand and Price Analysis;

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