The empirics of technology, employment and occupations: Lessons learned and challenges ahead

被引:20
作者
Montobbio, Fabio [1 ,2 ,3 ]
Staccioli, Jacopo [1 ,4 ]
Virgillito, Maria Enrica [4 ,7 ]
Vivarelli, Marco [1 ,5 ,6 ]
机构
[1] Univ Cattolica Sacro Cuore, Dept Econ Policy, Milan, Italy
[2] Coll Carlo Alberto, BRICK, Turin, Italy
[3] Bocconi Univ, ICRIOS, Milan, Italy
[4] Scuola Super Sant Anna, Inst Econ, Pisa, Italy
[5] UNU MERIT, Maastricht Econ & Social Res Inst Innovat & Techn, Boschstr, Maastricht, Netherlands
[6] Forschungsinst Zukunft Arbeit GmbH IZA, Bonn, Germany
[7] Scuola Super Sant Anna, Inst Econ, Piazza Martiri Liberta 33, I-56127 Pisa, Italy
关键词
employment; future of work; occupations; skills; tasks; technology; RESEARCH-AND-DEVELOPMENT; FIRM-LEVEL EVIDENCE; ARTIFICIAL-INTELLIGENCE; JOB POLARIZATION; INNOVATION; TASKS; AUTOMATION; ROBOTS; REVOLUTION; ROUTINE;
D O I
10.1111/joes.12601
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper is a critical review of the empirical literature resulting from recent years of debate and analysis regarding technology and employment and the future of work as threatened by technology, outlining both lessons learned and challenges ahead. We distinguish three waves of studies and relate their heterogeneous findings to the choice of technological proxies, the level of aggregation, the adopted research methodology and to the relative focus on robots, automation and AI. The challenges ahead include the need for awareness of possible ex-ante biases associated with the adopted proxies for innovation; the recognition of the trade-off between microeconometric precision and a more holistic macroeconomic approach; the need for granular analysis of the reallocation and transformation of occupations and tasks brought about by different types of new technologies; the call for a closer focus on impacts on labor quality, in terms of types of jobs and working conditions.
引用
收藏
页码:1622 / 1655
页数:34
相关论文
共 144 条
[1]  
Acemoglu D., 2021, HARMS
[2]   TASKS, AUTOMATION, AND THE RISE IN US WAGE INEQUALITY [J].
Acemoglu, Daron ;
Restrepo, Pascual .
ECONOMETRICA, 2022, 90 (05) :1973-2016
[3]   Artificial Intelligence and Jobs: Evidence from Online Vacancies [J].
Acemoglu, Daron ;
Autor, David ;
Hazell, Jonathon ;
Restrepo, Pascual .
JOURNAL OF LABOR ECONOMICS, 2022, 40 :S293-S340
[4]   Robots and Jobs: Evidence from US Labor Markets [J].
Acemoglu, Daron ;
Restrepo, Pascual .
JOURNAL OF POLITICAL ECONOMY, 2020, 128 (06) :2188-2244
[5]   Competing with Robots: Firm-Level Evidence from France [J].
Acemoglu, Daron ;
Lelarge, Claire ;
Restrepo, Pascual .
AEA PAPERS AND PROCEEDINGS, 2020, 110 :383-388
[6]   Automation and New Tasks: How Technology Displaces and Reinstates Labor [J].
Acemoglu, Daron ;
Restrepo, Pascual .
JOURNAL OF ECONOMIC PERSPECTIVES, 2019, 33 (02) :3-29
[7]   The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment [J].
Acemoglu, Daron ;
Restrepo, Pascual .
AMERICAN ECONOMIC REVIEW, 2018, 108 (06) :1488-1542
[8]  
Acemoglu D, 2011, HBK ECON, V4, P1043, DOI 10.1016/S0169-7218(11)02410-5
[9]  
Acemoglu Daron., 2022, Automation and the workforce: A firm‐level view from the 2019 annual business survey. Paper Presented at the NBER/CRIW Conference on Technology, Productivity and Economic Growth, Washington DC
[10]   Job Polarization and Task-Biased Technological Change: Evidence from Sweden, 1975-2005 [J].
Adermon, Adrian ;
Gustavsson, Magnus .
SCANDINAVIAN JOURNAL OF ECONOMICS, 2015, 117 (03) :878-917