DYNAMIC INPUT DEMAND FUNCTIONS AND RESOURCE ADJUSTMENT FOR U.S. AGRICULTURE: STATE EVIDENCE

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.


Issue Date:
1995
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/18277
Total Pages:
32
Series Statement:
Staff Paper 278




 Record created 2017-04-01, last modified 2017-08-24

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