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Dynamic Input Demand Functions And Resource Adjustment For U.S. Agriculture: State Evidence

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  • Perry WARJIYO
  • Wallace E. HUFFMAN

Abstract

The paper presents an econometric model of dynamic agricultural input demand functions that includes research based technical change and autoregressive disturbances and fits the model to data for a set of state aggregates pooled over 1950-82. The methodological approach is one of developing a theoretical foundation for a dynamic input demand system and accepting state aggregate 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 autocorrelation. Dynamic input demand own-price elasticities for six input groups are inelastic, and the demand functions poses significant cross-price and research stock effects.

Suggested Citation

  • Perry WARJIYO & Wallace E. HUFFMAN, 1995. "Dynamic Input Demand Functions And Resource Adjustment For U.S. Agriculture: State Evidence," Staff Papers 278, Iowa State University Department of Economics.
  • Handle: RePEc:isu:isuesp:278
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    1. is not listed on IDEAS
    2. 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.
    3. Ricker-Gilbert, Jacob & Jayne, Thomas S., 2008. "The Impact of Fertilizer Subsidies on National Fertilizer Use: An Example from Malawi," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6464, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. 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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