A Short Note on Aggregating Productivity

D. Baqaee, E. Farhi
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引用次数: 11

Abstract

This paper discusses two simple decompositions for aggregate productivity analysis in the presence of distortions and in general equilibrium. The first is a generalization of Baqaee and Farhi (2017) and the second is due to Petrin and Levinsohn (2012). In the process, we propose a new “distorted” Solow residual which, contrary to the traditional Solow residual, accurately measures changes in aggregate productivity in disaggregated economies with distortions. These formulas apply to any collection of producers ranging from one isolated producer to an industry or to an entire economy. They can be useful for empiricists and theorists alike. Potential applications of these formulas include: (1) decomposing aggregate productivity into its microeconomic sources, separating technical and allocative efficiency; (2) aggregating microeconomic estimates (for example, from natural experiments) to assess macroeconomic effects; (3) constructing and interpreting aggregate counterfactuals. Despite their simplicity, the formulas are general, allowing for production networks, multi-product firms, and non-constant returns. They are also entirely nonparametric. They only assume market clearing and cost minimization.
关于聚合生产力的简短说明
本文讨论了在存在扭曲和一般均衡的情况下总生产率分析的两种简单分解。第一个是Baqaee和Farhi(2017)的概括,第二个是由于Petrin和Levinsohn(2012)。在此过程中,我们提出了一个新的“扭曲的”索洛残差,它与传统的索洛残差相反,准确地衡量了扭曲分解经济体中总生产率的变化。这些公式适用于任何生产者的集合,从一个孤立的生产者到一个行业或整个经济。它们对经验主义者和理论家都很有用。这些公式的潜在应用包括:(1)将总生产率分解为其微观经济来源,分离技术效率和配置效率;(2)汇总微观经济估算(例如,来自自然实验的估算),以评估宏观经济效应;(3)构建和解释集合反事实。尽管它们很简单,但公式是通用的,允许生产网络,多产品公司和非恒定回报。它们也是完全非参数的。他们只假设市场出清和成本最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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