Modelling technical change in Italian agriculture: a latent variable approach
提出一种基于潜变量技术水平的替代方法来测量技术变化，通过将行为系统视为多指标多原因模型，利用最大似然估计分析意大利农业1961-1991年的技术变化。
This paper presents an alternative approach to the measurement of technical change. It is based on the latent variable level of technology that enters explicitly the input demand system and on a hypothesis about the innovation generating process. By adding measurement error equations, the behavioral system can be viewed as a Multiple Indicators/Multiple Causes (MIMIC) model. The parameter estimates are obtained with a maximum likelihood estimator which involves the implicit covariance matrix. The analysis refers to Italian agriculture and the results provide some evidence on the nature and level of technical change during the years 1961–1991.