Template-Type: ReDIF-Paper 1.0
Author-Name: Laura Barbieri
Author-X-Name-First: Laura
Author-X-Name-Last: Barbieri
Author-Email: laura.barbieri@unicatt.it
Author-Workplace-Name: Dipartimento di Scienze Economiche e Sociali, DISCE, Università Cattolica del Sacro Cuore
Author-Name: Chiara Mussida
Author-X-Name-First: Chiara
Author-X-Name-Last: Mussida
Author-Email: chiara.mussida@unicatt.it
Author-Workplace-Name: Dipartimento di Scienze Economiche e Sociali, DISCE, Università Cattolica del Sacro Cuore
Author-Name: Mariacristina Piva
Author-X-Name-First: Mariacristina
Author-X-Name-Last: Piva
Author-Email: mariacristina.piva@unicatt.it
Author-Workplace-Name: Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore
Author-Name: Marco Vivarelli
Author-X-Name-First: Marco
Author-X-Name-Last: Vivarelli
Author-Email: marco.vivarelli@unicatt.it
Author-Workplace-Name: Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore - UNU-MERIT, Maastricht, The Netherlands and IZA, Bonn, Germany
Title: Testing the employment impact of automation, robots and AI: A survey and some methodological issues
Abstract: The present technological revolution, characterized by the pervasive and growing presence of robots, automation, Artificial Intelligence and machine learning, is going to transform societies and economic systems. However, this is not the first technological revolution humankind has been facing, but it is probably the very first one with such an accelerated diffusion pace involving all the industrial sectors. Studying its mechanisms and consequences (will the world turn into a jobless society or not?), mainly considering the labor market dynamics, is a crucial matter. This paper aims at providing an updated picture of main empirical evidence on the relationship between new technologies and employment both in terms of overall consequences on the number of employees, tasks required, and wage/inequality effect.
Length: 26
Creation-Date: 2019-09
File-URL: http://dipartimenti.unicatt.it/politica-economica-DIPE0006.pdf
File-Format: Application/pdf
File-Function: First version, 2019
Number: dipe0006
Classification-JEL: O33
Keywords: technology, innovation, employment, skill, task, routine
Handle: RePEc:ctc:serie5:dipe0006