New Developments in the Estimation of Stochastic Frontier Models with Panel Data

In this paper we deal with the estimation of the stochastic frontier model using panel data. Panel data provide a fruitful setting for analyzing firm efficiency and a rich proving ground for the development of useful new techniques. We discuss three classes of models, fixed effects, random parameters, and latent classes, that should provide promising platforms for researchers.

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