One-step and two-step estimation in SFA models

Peter Schmidt

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One-step and two-step estimation in SFA models

机译：SFA模型中的一步和两步估计

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This paper provides an expository treatment of one-step and two-step estimation of stochastic frontier models in which inefficiency levels depend on observable exogenous variables. It specifically emphasizes the problems with two-step methods. It relies heavily on Wang and Schmidt (2002) though there are some new insights.

机译：本文提供了对随机前沿模型的单步和两步估计的解释性处理，其中效率低下取决于可观察的外生变量。它特别强调了两步法的问题。尽管有一些新见解，但它很大程度上依赖于Wang和Schmidt（2002）。

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《Journal of productivity analysis》 |2011年第2期|p.201-203|共3页
作者
Peter Schmidt;
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Michigan State University, East Lansing, MI, USA Yonsei University, Seoul, South Korea;

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One-step and two-step estimation in SFA models

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