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Dynamic input demand functions and resource adjustment for US agriculture: state evidence
Author(s) -
Warjiyo Perry,
Huffman Wallace E.
Publication year - 1997
Publication title -
agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.29
H-Index - 82
eISSN - 1574-0862
pISSN - 0169-5150
DOI - 10.1111/j.1574-0862.1997.tb00476.x
Subject(s) - autocorrelation , profit maximization , econometrics , economics , autoregressive model , demand curve , state dependent , utility maximization , maximization , dynamic pricing , profit (economics) , microeconomics , mathematical economics , mathematics , statistics
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 lor a set of stale 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 m 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, ami the demand functions possess significant cross‐price and research effects.