This paper presents an alternative approach to the measurement of technical change. It is based on the latent variable level of rechnology 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 Indicatorshlultiple 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

Esposti, R., & Pierani, P. (2000). Modelling technical change in Italian agriculture: A latent variable approach. AGRICULTURAL ECONOMICS, 22(3), 261-270 [10.1111/j.1574-0862.2000.tb00074.x].

Modelling technical change in Italian agriculture: A latent variable approach

PIERANI, PIERPAOLO
2000

Abstract

This paper presents an alternative approach to the measurement of technical change. It is based on the latent variable level of rechnology 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 Indicatorshlultiple 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
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11365/40240
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