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Dynamics Of The Agricultural Research And Output Relationship

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Author Info
Pardey, Philip G.
Craig, Barbara

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Abstract

Allocative decisions concerning public sector agricultural research appear to be driven by both supply and, politically mediated, demand forces. In-sample Granger and Modified Sim's tests, along with post-sample predictive tests, suggest that simultaneity issues should not be ignored when modelling the research expenditure-output relationship. The results also provide strong evidence that the impact of research expenditures on agricultural output persists for at least 30 years. These lags are substantially longer than those commonly used for agricultural research to date. The lagged effect of output on research appears much shorter, at something less than 10 years.

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Paper provided by University of Minnesota, Department of Applied Economics in its series Staff Papers with number 13515.

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Date of creation: 1987
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Handle: RePEc:ags:umaesp:13515

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Related research
Keywords: Research and Development/Tech Change/Emerging Technologies;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Minasian, Jora R, 1969. "Research and Development, Production Functions, and Rates of Return," American Economic Review, American Economic Association, vol. 59(2), pages 80-85, May. [Downloadable!] (restricted)
  2. Guttman, Joel M, 1978. "Interest Groups and the Demand for Agricultural Research," Journal of Political Economy, University of Chicago Press, vol. 86(3), pages 467-84, June. [Downloadable!] (restricted)
  3. Geweke, John & Meese, Richard & Dent, Warren, 1983. "Comparing alternative tests of causality in temporal systems : Analytic results and experimental evidence," Journal of Econometrics, Elsevier, vol. 21(2), pages 161-194, February. [Downloadable!] (restricted)
  4. Ariel Pakes & Mark Schankerman, 1984. "An Exploration into the Determinants of Research Intensity," NBER Chapters, in: R & D, Patents, and Productivity, pages 209-232 National Bureau of Economic Research, Inc. [Downloadable!]
  5. Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-67, July. [Downloadable!] (restricted)
  6. David A. Pierce & Larry D. Haugh, 1977. "Causality in temporal systems: characterizations and a survey," Special Studies Papers 87, Board of Governors of the Federal Reserve System (U.S.).
  7. Mowery, David & Rosenberg, Nathan, 1979. "The influence of market demand upon innovation: a critical review of some recent empirical studies," Research Policy, Elsevier, vol. 8(2), pages 102-153, April. [Downloadable!] (restricted)
  8. Zvi Griliches, 1979. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 92-116, Spring. [Downloadable!] (restricted)
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  9. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-52, September. [Downloadable!] (restricted)
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  1. Pardey, Philip G. & Craig, Barbara & Hallaway, Michelle L., 1987. "U.S. Agricultural Research Deflators: 1890-1985," Staff Papers 13675, University of Minnesota, Department of Applied Economics. [Downloadable!]
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