新技术、自动化和劳动力市场

A. Micco
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引用次数: 0

摘要

本文论证了新技术对美国劳动力市场的因果效应。我采用信息和通信技术以及机器人渗透率作为新技术的两个代表,评估了2004年至2016年间自动化对450个行业795个职业的影响。与无风险职业相比,新技术将面临自动化风险的职业的年增长率降低了1.8-2.8%。我用技术资本的差异效应来证明因果关系,以欧盟资本为工具,对具有不同自动化风险的职业。部门年模型控制了中国和墨西哥的进口、大衰退和传统资本。贸易证据证实了我的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Technologies, Automation, and Labor Markets
This paper demonstrates the causal effect of new technologies on the U.S. labor market. I employ information and communications technology, and robot penetration, as two proxy for new technologies to assess the effect of automation on 795 occupations across 450 industries between 2004 and 2016. New technologies reduce the annual growth rate of occupation at risk of automation by 1.8–2.8% relative to risk-less occupations. I demonstrate causality using the differential effect of technology capital, instrumented by E.U. capital, on occupations with different risks of automation. Sector-year dummies control for Chinese and Mexican imports, the Great Recession, and conventional capital. Trade evidence reassures my results.
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