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Efficiency measurement using a latent class stochastic frontier model

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Author Info

  • Luis Orea

    ()

  • Subal C. Kumbhakar

    ()

Abstract

Efficiency estimation in stochastic frontier models typically assumes that the underlying production technology is the same for all firms. There might, however, be unobserved differences in technologies that might be inappropriately labeled as inefficiency if such variations in technology are not taken into account. We address this issue by estimating a latent class stochastic frontier model in a panel data framework. An application of the model is presented using Spanish banking data. Our results show that bank-heterogeneity can be fully controlled when a model with four classes is estimated. Copyright Springer-Verlag 2004

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File URL: http://hdl.handle.net/10.1007/s00181-003-0184-2
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Bibliographic Info

Article provided by Springer in its journal Empirical Economics.

Volume (Year): 29 (2004)
Issue (Month): 1 (January)
Pages: 169-183

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Handle: RePEc:spr:empeco:v:29:y:2004:i:1:p:169-183

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Related research

Keywords: Stochastic cost frontier; latent class model; panel data; banks; C24; C81; D24;

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