Strengthening Social Protection to Pave the Way for Technological Innovation: Evidence from the U.S.

Author/Editor:

Fernanda Brollo

Publication Date:

May 3, 2024

Electronic Access:

Free Download. Use the free Adobe Acrobat Reader to view this PDF file

Disclaimer: IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.

Summary:

This paper investigates the impact of automation on the U.S. labor market from 2000 to 2007, specifically examining whether more generous social protection programs can mitigate negative effects. Following Acemoglu and Restrepo (2020), the study finds that areas with higher robot adoption reduced employment and wages, in particular for workers without collegue degree. Notably, the paper exploits differences in social protection generosity across states and finds that areas with more generous unemployment insurance (UI) alleviated the negative effects on wages, especially for less-skilled workers. The results suggest that UI allowed displaced workers to find better matches The findings emphasize the importance of robust social protection policies in addressing the challenges posed by automation, contributing valuable insights for policymakers.

Series:

Working Paper No. 2024/095

Subject:

Frequency:

regular

English

Publication Date:

May 3, 2024

ISBN/ISSN:

9798400274596/1018-5941

Stock No:

WPIEA2024095

Format:

Paper

Pages:

21

Please address any questions about this title to publications@imf.org