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Productivity of Nations: A Stochastic Frontier Approach to TFP Decomposition

机译:国家生产力:全要素生产率分解的随机前沿方法

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摘要

This paper tackles the problem of aggregate TFP measurement using stochastic frontier analysis. We estimate a world production frontier for a sample of 75 countries over a long period. The “Bauer-Kumbhakar” decomposition of TFP is applied to a smaller sample in order to evaluate the effects of changes in efficiency (technical and allocative), scale effects, and technical change. Estimated technical efficiency scores are compared to productivity indexes offered by nonfrontier studies. We conclude that differences in productivity are responsible for virtually all the differences of growth performance between developed and developing nations and that a large part of this is due to allocative efficiency.
机译:本文使用随机前沿分析解决了总TFP测量的问题。我们估计在很长一段时间内,有75个国家/地区的样本处于世界生产前沿。 TFP的“ Bauer-Kumbhakar”分解应用于较小的样本,以评估效率(技术和分配性)变化,规模效应和技术变化的影响。将估算的技术效率得分与非前沿研究提供的生产率指数进行比较。我们得出的结论是,生产力的差异实际上是造成发达国家与发展中国家之间所有增长绩效差异的原因,并且其中很大一部分是由于分配效率造成的。

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