Verlag:
Institute of Economics, Hungarian Academy of Sciences, Budapest
The aim of this article is to analyse the technical efficiency of Hungarian crop farms between 2001 and 2009 using panel data. We employ both standard stochastic frontier analysis and latent class model (LCM) to estimate technical efficiency. Our...
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ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
Signatur:
DS 151 (2012,30)
Fernleihe:
keine Fernleihe
The aim of this article is to analyse the technical efficiency of Hungarian crop farms between 2001 and 2009 using panel data. We employ both standard stochastic frontier analysis and latent class model (LCM) to estimate technical efficiency. Our results suggest that technological heterogeneity plays important role in crop sector which traditionally is assumed by homogeneous technology. The comparison of standard SFA models assuming that the technology is common to all farms and LCM estimates highlights that the efficiency of crop farms may be underestimated using traditional SFA models. -- heterogeneity ; latent class models ; crop farms
