In this paper we are interested in the problem of comparisons with the best population. One case where comparisons with the best arise naturally is the measurement of productive efficiency.
We propose a generalized methods of moments procedure by which both the number of factors and the regression coefficients can be consistently estimated. Some important identification issues are also discussed. Our simulation results indicate that the proposed methods produce reliable estimates.
We study the construction of confidence intervals for efficiency levels of individual firms in stochastic frontier models with panel data.
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