Using Google search data to examine factory automation and its effect on employment

IF 7.9 2区 经济学 Q1 ECONOMICS
Céline Diebold
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引用次数: 0

Abstract

This paper revisits the link between robot adoption and employment across more than 100 European regions over a period of five years. A simple model is provided arguing that interest in robots precedes the actual deployment of robots. Thus, a novel instrument is introduced: interest in automation revealed by Google searches. This allows for a tentatively causal interpretation of the results. A small, yet significant positive aggregate effect is identified, along with heterogeneous effects across sex and educational attainment. The local effect on aggregate employment tends to be roughly twice as large as the spillover effect on neighbouring regions.
使用谷歌搜索数据检验工厂自动化及其对就业的影响
本文回顾了五年来欧洲100多个地区采用机器人与就业之间的联系。提供了一个简单的模型,认为对机器人的兴趣先于机器人的实际部署。因此,引入了一种新的工具:通过谷歌搜索显示对自动化的兴趣。这允许对结果进行初步的因果解释。研究发现了一个小而显著的积极总体效应,以及跨性别和受教育程度的异质性效应。当地对总就业的影响往往是对邻近地区的溢出效应的两倍左右。
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来源期刊
CiteScore
9.80
自引率
9.20%
发文量
231
审稿时长
93 days
期刊介绍: Economic Analysis and Policy (established 1970) publishes articles from all branches of economics with a particular focus on research, theoretical and applied, which has strong policy relevance. The journal also publishes survey articles and empirical replications on key policy issues. Authors are expected to highlight the main insights in a non-technical introduction and in the conclusion.
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