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Returns to American Agricultural Research: Results from a Cointegration Model

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  • Makki, Shiva S.
  • Thraen, Cameron S.
  • Tweeten, Luther G.

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  • Makki, Shiva S. & Thraen, Cameron S. & Tweeten, Luther G., 1999. "Returns to American Agricultural Research: Results from a Cointegration Model," Journal of Policy Modeling, Elsevier, vol. 21(2), pages 185-211, March.
  • Handle: RePEc:eee:jpolmo:v:21:y:1999:i:2:p:185-211
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    References listed on IDEAS

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    1. Marlys Knutson & Luther G. Tweeten, 1979. "Toward an Optimal Rate of Growth in Agricultural Production Research and Extension," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(1), pages 70-76.
    2. Wallace E. Huffman & Robert E. Evenson, 1992. "Contributions of Public and Private Science and Technology to U.S. Agricultural Productivity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 751-756.
    3. Wallace E. Huffman & Robert E. Evenson, 1989. "Supply and Demand Functions for Multiproduct U.S. Cash Grain Farms: Biases Caused by Research and Other Policies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 761-773.
    4. Ericsson, Neil R., 1992. "Cointegration, exogeneity, and policy analysis: An overview," Journal of Policy Modeling, Elsevier, vol. 14(3), pages 251-280, June.
    5. Ericsson, Neil R., 1992. "Cointegration, exogeneity, and policy analysis: A synopsis," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 395-400, August.
    6. Philip G. Pardey & Barbara Craig, 1989. "Causal Relationships between Public Sector Agricultural Research Expenditures and Output," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 9-19.
    7. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    8. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    9. 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.
    10. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    11. Dvoskin, Dan, 1988. "Excess Capacity in U.S. Agriculture: An Economic Approach to Measurement," Agricultural Economic Reports 308036, United States Department of Agriculture, Economic Research Service.
    12. Jeff Davis, 1981. "A Comparison Of Procedures For Estimating Returns To Research Using Production Functions," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 25(1), pages 60-72, April.
    13. Haug, Alfred A., 1993. "Residual based tests for cointegration : A Monte Carlo study of size distortions," Economics Letters, Elsevier, vol. 41(4), pages 345-351.
    14. Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-193, January.
    15. Davis, Jeffrey S., 1981. "A Comparison Of Procedures For Estimating Returns To Research Using Production Functions," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 25(1), pages 1-13, April.
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    Cited by:

    1. Warr, Peter G., 2012. "Research and agricultural productivity in Indonesia," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124475, Australian Agricultural and Resource Economics Society.
    2. Roberto ESPOSTI & Pierpaolo PIERANI, 2001. "Building the Knowledge Stock: Lags, Depreciation and Uncertainty in Agricultural R&D," Working Papers 145, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    3. Amponsah, Lawrence, 2016. "Modelling the effect of public investment on agricultural productivity in Ghana," MPRA Paper 70924, University Library of Munich, Germany.
    4. Peter Warr, 2022. "Research and productivity in Indonesian agriculture," Departmental Working Papers 2022-02, The Australian National University, Arndt-Corden Department of Economics.
    5. Peter Warr, 2023. "Productivity in Indonesian agriculture: Impacts of domestic and international research," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 835-856, September.
    6. Nasir nadeem, Dr. & khalid Mushtaq, Dr., 2010. "Role of Agricultural Research and Extension in Enhancing Agricultural Productivity in Punjab, Pakistan," MPRA Paper 27769, University Library of Munich, Germany.
    7. Tokgoz, Simla, 2003. "R&D Spillovers In Agriculture: Results From A North-South Trade Model," 2003 Annual meeting, July 27-30, Montreal, Canada 22258, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Roberto ESPOSTI, 2000. "Public R&D Design and Technological Spill-Ins. A Dynamic Model," Working Papers 136, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    9. Shujat Ali, 2005. "Total Factor Productivity Growth and Agricultural Research and Extension: An Analysis of Pakistan's Agriculture, 1960-1996," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 44(4), pages 729-746.
    10. Giannis Karagiannis, 2008. "Commentary," Journal of Productivity Analysis, Springer, vol. 30(1), pages 67-68, August.
    11. Yuen Ping Ho & Poh Kam Wong & Mun Heng Toh, 2009. "The Impact Of R&D On The Singapore Economy: An Empirical Evaluation," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 54(01), pages 1-20.
    12. Shiva Makki & Luther Tweeten & Cameron Thraen, 1999. "Investing in Research and Education versus Commodity Programs: Implications for Agricultural Productivity," Journal of Productivity Analysis, Springer, vol. 12(1), pages 77-94, August.

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