Automation, Globalization and Vanishing Jobs: A Labor Market Sorting View

Ester Faia, Sébastien Laffitte, M. Mayer, G. Ottaviano
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引用次数: 2

Abstract

We show, theoretically and empirically, that the effects of technological change associated with automation and offshoring on the labor market can substantially deviate from standard neoclassical conclusions when search frictions hinder efficient assortative matching between firms with heterogeneous tasks and workers with heterogeneous skills. Our key hypothesis is that better matches enjoy a comparative advantage in exploiting automation and a comparative disadvantage in exploiting offshoring. It implies that automation (offshoring) may reduce (raise) employment by lengthening (shortening) unemployment duration due to higher (lower) match selectivity. We find empirical support for this implication in a dataset covering 92 occupations and 16 sectors in 13 European countries from 1995 to 2010.
自动化,全球化和消失的工作:劳动力市场分类的观点
我们从理论和经验上表明,当搜索摩擦阻碍具有异质任务的公司与具有异质技能的工人之间的有效分类匹配时,与自动化和离岸外包相关的技术变革对劳动力市场的影响可能会大大偏离标准的新古典主义结论。我们的关键假设是,更好的匹配在利用自动化方面具有比较优势,而在利用离岸外包方面具有比较劣势。这意味着自动化(离岸外包)可以通过延长(缩短)失业持续时间来减少(增加)就业,因为更高(更低)的匹配选择性。我们在1995年至2010年期间覆盖13个欧洲国家的92个职业和16个部门的数据集中发现了这一含义的实证支持。
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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