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


  • Warjiyo, Perry
  • Huffman, Wallace E.


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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    References listed on IDEAS

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    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.
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    7. 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.
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    9. 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.
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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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