Dynamic input demand functions and resource adjustment for US agriculture: state evidence
构建了一个包含技术变化和自相关扰动的动态农业投入需求计量模型，利用1950-1982年美国各州数据估计，发现考虑自相关时调整滞后更短，六类投入的自价格弹性均缺乏弹性。
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 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.