{"title":"Robots at work: New evidence with recent data","authors":"Derick Almeida, Tiago Neves Sequeira","doi":"10.1111/manc.12493","DOIUrl":null,"url":null,"abstract":"<p>We reassess the relationship between robotization and the growth in labor productivity with more recent data. We discover that the effect of robot density in the growth productivity substantially decreased in the post-2008 period. In this period, the lower positive effect of robot density in the growth of labor productivity is less dependent on the increase in value added. The data analysis dismisses any positive effect of robotization on hours worked. Results are confirmed by several robustness checks, cross-sectional (and panel-data) Instrumental Variable and quantile regression analysis. By means of the quantile regression analysis, we learn that the effect of robots on labor productivity is stronger for low productivity sectors and that in the most recent period, the effect of robotization felt significantly throughout the distribution. This highlights one of the possible sources of stagnation in the era of robotization and have implication both for labor market and R&D policies.</p>","PeriodicalId":47546,"journal":{"name":"Manchester School","volume":"92 6","pages":"700-722"},"PeriodicalIF":0.7000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Manchester School","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/manc.12493","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
We reassess the relationship between robotization and the growth in labor productivity with more recent data. We discover that the effect of robot density in the growth productivity substantially decreased in the post-2008 period. In this period, the lower positive effect of robot density in the growth of labor productivity is less dependent on the increase in value added. The data analysis dismisses any positive effect of robotization on hours worked. Results are confirmed by several robustness checks, cross-sectional (and panel-data) Instrumental Variable and quantile regression analysis. By means of the quantile regression analysis, we learn that the effect of robots on labor productivity is stronger for low productivity sectors and that in the most recent period, the effect of robotization felt significantly throughout the distribution. This highlights one of the possible sources of stagnation in the era of robotization and have implication both for labor market and R&D policies.
期刊介绍：
The Manchester School was first published more than seventy years ago and has become a distinguished, internationally recognised, general economics journal. The Manchester School publishes high-quality research covering all areas of the economics discipline, although the editors particularly encourage original contributions, or authoritative surveys, in the fields of microeconomics (including industrial organisation and game theory), macroeconomics, econometrics (both theory and applied) and labour economics.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
