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Effects of Soybean Checkoff Research Expenditures on U.S. Soybean Yields and Net Revenue: A Time Series Analysis


  • Bessler, David A.


Statistical methods are used to study relationships between research expenditures (adjusted for inflation) made from producer checkoff programs and soybean yields and net revenues in the United States for the years 1978 – 2007. Results presented are for yield and net revenue data and research expenditures for the entire United States. We find that research expenditures over the years 1994 to 2007 are responsible for a 0.95 bushel per acre per year increase in soybean yields. We calculate net producer revenues to be about $17 per acre higher than would have been the case without the soybean research checkoff expenditures.

Suggested Citation

  • Bessler, David A., 2009. "Effects of Soybean Checkoff Research Expenditures on U.S. Soybean Yields and Net Revenue: A Time Series Analysis," Reports 90494, Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center.
  • Handle: RePEc:ags:tamagr:90494

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    References listed on IDEAS

    1. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    2. Geweke, John & Meese, Richard, 1981. "Estimating regression models of finite but unknown order," Journal of Econometrics, Elsevier, vol. 16(1), pages 162-162, May.
    3. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    4. Nerlove, Marc & Grether, David M. & Carvalho, José L., 1979. "Analysis of Economic Time Series," Elsevier Monographs, Elsevier, edition 1, number 9780125157506 edited by Shell, Karl.
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    Cited by:

    1. Williams, Gary W. & Capps, Oral, Jr. & Bessler, David A., 2009. "Is the Soybean Checkoff Program Working?," Reports 90495, Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center.


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