The Empirical Distribution of the Costs of Revenue-Based Commodity Support Programs—Estimates and Policy Implications |
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Authors: | Joseph Cooper |
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Institution: | Joseph Cooper is Senior Economist, Economic Research Service, USDA. The views expressed are the author's and do not necessarily represent those of the Economic Research Service or the US Department of Agriculture. |
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Abstract: | This paper demonstrates how the density function of the U.S. domestic commodity support payments for corn differs between current price-based approaches to support and a revenue-based alternative. Comparing across program scenarios that provide equal expected levels of support at the national level, the revenue-based scenario exhibits a lower variability around total expected annual payments, and perhaps more importantly, a lower probability of high payments than the current-style support. Furthermore, for the vast majority of corn-producing counties in the United States, the coefficient of variation of total gross revenue per acre is lower under the revenue-based support scenario than under the current-style scenario. |
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