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微观数据与宏观技术

Micro Data and Macro Technology
Econometrica · 2021 · Ezra Oberfield、Devesh Raval

中文摘要

我们构建了一个框架,通过加总个体工厂的行为来估计总体的资本—劳动替代弹性。总体弹性反映了工厂内部的替代与跨工厂的再配置;资本密集度异质性的程度决定了二者的相对重要性。我们使用工厂横截面的微观数据来构建某一时点上的总体弹性。透过若干不同模型的视角来解读我们的计量估计,我们发现美国制造业部门的总体弹性处于0.5—0.7的区间内,且自1970年以来略有下降。我们利用这些估计来度量技术变化的偏向,并评估美国制造业部门劳动收入份额的下降。依赖要素相对供给变化的机制(例如资本积累的加速)无法解释这一下降。

Abstract

We develop a framework to estimate the aggregate capital‐labor elasticity of substitution by aggregating the actions of individual plants. The aggregate elasticity reflects substitution within plants and reallocation across plants; the extent of heterogeneity in capital intensities determines their relative importance. We use micro data on the cross‐section of plants to build up to the aggregate elasticity at a point in time. Interpreting our econometric estimates through the lens of several different models, we find that the aggregate elasticity for the U.S. manufacturing sector is in the range of 0.5–0.7, and has declined slightly since 1970. We use our estimates to measure the bias of technical change and assess the decline in labor's share of income in the U.S. manufacturing sector. Mechanisms that rely on changes in the relative supply of factors, such as an acceleration of capital accumulation, cannot account for the decline.
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