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Dynamic input demand functions and resource adjustment for US agriculture: state evidence

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  • Warjiyo, Perry
  • Huffman, Wallace E.

Abstract

The paper presents an econometric model of dynamic agricultural input demand functions that include research based technical change and autoregressive disturbances and fits the model to annual data for a set of state aggregates pooled over 1950-1982. The methodological approach is one of developing a theoretical foundation for a dynamic input demand system and accepting state aggreage behavior as approximated by nonlinear adjustment costs and long-term profit maximization. Although other studies have largely ignored autocorrelation in dynamic input demand systems, the results show shorter adjustment lags with autocorrelation than without. Dynamic input demand own-price elasticities for the six input groups are inelastic, and the demand functions possess significant cross-price and research effects.
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  • Warjiyo, Perry & Huffman, Wallace E., 1997. "Dynamic input demand functions and resource adjustment for US agriculture: state evidence," Agricultural Economics, Blackwell, vol. 17(2-3), pages 223-237, December.
  • Handle: RePEc:eee:agecon:v:17:y:1997:i:2-3:p:223-237
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    1. Robert J. Barro, 2013. "Inflation and Economic Growth," Annals of Economics and Finance, Society for AEF, vol. 14(1), pages 121-144, May.
    2. Treadway, Arthur B., 1970. "Adjustment costs and variable inputs in the theory of the competitive firm," Journal of Economic Theory, Elsevier, vol. 2(4), pages 329-347, December.
    3. Treadway, Arthur B, 1971. "The Rational Multivariate Flexible Accelerator," Econometrica, Econometric Society, vol. 39(5), pages 845-855, September.
    4. Friesen, J. & Capalbo, S. & Denny, M., 1992. "Dynamic factor demand equations in U.S. and Canadian agriculture," Agricultural Economics, Blackwell, vol. 6(3), pages 251-266, February.
    5. Gallant, A. Ronald, 1975. "Seemingly unrelated nonlinear regressions," Journal of Econometrics, Elsevier, vol. 3(1), pages 35-50, February.
    6. Gallant, A. Ronald & Jorgenson, Dale W., 1979. "Statistical inference for a system of simultaneous, non-linear, implicit equations in the context of instrumental variable estimation," Journal of Econometrics, Elsevier, vol. 11(2-3), pages 275-302.
    7. Chambers, Robert G. & Lopez, Ramon E., 1984. "A General, Dynamic, Supply-Response Model," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 13(2), October.
    8. V. Eldon Ball, 1985. "Output, Input, and Productivity Measurement in U.S. Agriculture 1948–79," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(3), pages 475-486.
    9. Tegene, Abebayehu & Huffman, Wallace & Miranowski, John, 1988. "An Econometric Model of Dynamic and Stochastic Production with Explicit Optimization: Farmers' Decisions on Corn and Soybean Acreage," Staff General Research Papers Archive 10984, Iowa State University, Department of Economics.
    10. Friesen, Jane, 1992. "Testing Dynamic Specification of Factor Demand Equations for U.S. Manufacturing," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 240-250, May.
    11. Vasavada, Utpal & Ball, V. Eldon, 1988. "A dynamic adjustment model for U.S. agriculture: 1948-79," Agricultural Economics, Blackwell, vol. 2(2), pages 123-137, October.
    12. Hatanaka, Michio, 1976. "Several efficient two-step estimators for the dynamic simultaneous equations model with autoregressive disturbances," Journal of Econometrics, Elsevier, vol. 4(2), pages 189-204, May.
    13. Xavier Sala-I-Martin, 1997. "Transfers, Social Safety Nets, and Economic Growth," IMF Staff Papers, Palgrave Macmillan, vol. 44(1), pages 81-102, March.
    14. Dhrymes, Phoebus J & Taylor, John B, 1976. "On an Efficient Two-Step Estimator for Dynamic Simultaneous Equations Models with Autoregressive Errors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(2), pages 362-376, June.
    15. Spencer, David E., 1979. "Estimation of a dynamic system of seemingly unrelated regressions with autoregressive disturbances," Journal of Econometrics, Elsevier, vol. 10(2), pages 227-241, June.
    16. Huffman, Wallace E. & Evenson, Robert E., 1993. "Science for Agriculture: A Long Term Perspective," Staff General Research Papers Archive 10997, Iowa State University, Department of Economics.
    17. Mortensen, Dale T, 1973. "Generalized Costs of Adjustment and Dynamic Factor Demand Theory," Econometrica, Econometric Society, vol. 41(4), pages 657-665, July.
    18. Epstein, Larry G & Denny, Michael G S, 1983. "The Multivariate Flexible Accelerator Model: Its Empirical Restrictions and an Application to U.S. Manufacturing," Econometrica, Econometric Society, vol. 51(3), pages 647-674, May.
    19. Huffman, Wallace E. & Evenson, Robert E., 1994. "The Development of U.S. Agricultural Research and Education: An Economic Perspective," Staff General Research Papers Archive 10998, Iowa State University, Department of Economics.
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    Cited by:

    1. Suh, Dong Hee & Moss, Charles B., 2014. "Exploring Agricultural Production Systems: Interactions between the Crop and Livestock Sectors," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170149, Agricultural and Applied Economics Association.
    2. Catherine Morrison Paul, 2003. "Productivity and Efficiency Measurement in Our “New Economy”: Determinants, Interactions, and Policy Relevance," Journal of Productivity Analysis, Springer, vol. 19(2), pages 161-177, April.

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