Automation and the Future of Work: Assessing the Role of Labor Flexibility

66 Pages Posted: 11 Jun 2019 Last revised: 26 Jan 2021

See all articles by Michele Fornino

Michele Fornino

International Monetary Fund (IMF)

Andrea Manera

Massachusetts Institute of Technology (MIT); International Monetary Fund (IMF)

Date Written: May 1, 2019

Abstract

We study the economic incentives for automation when labor and machines are perfect substitutes. Labor may still be employed in production, even when it is a costlier input than robots on a productivity-adjusted basis. This occurs if firms face uninsurable idiosyncratic risk, adjusting the stock of machines is costly, and workers can be hired and fired quickly enough. Even though labor survives, jobs become less stable, as workers are hired in short-lived bursts to cope with shocks. We calibrate a general equilibrium, multi-industry version of our model to match data on robot adoption in US manufacturing sectors, and use it to compute the employment and labor share consequences of progress in automation technology. A fall in the relative price of robots leads to relatively few jobs losses, while reductions in adjustment costs, or improvements in relative robot productivity, can be far more disruptive. The model-implied semi-elasticity of aggregate employment to robot penetration (number of robots per thousand employees) ranges between 0.01% and 0.12%, depending on the underlying source of increased robot adoption, consistent with findings in the empirical literature. In an extension, we show that reduced-form hiring and firing costs unambiguously depress long-run employment.

Keywords: Automation, Investment, Capital-Labor Substitution, Labor Demand, Factor Shares, Productivity, Tasks, Technological Change

JEL Classification: O33, J23, E22, E23, E24

Suggested Citation

Fornino, Michele and Manera, Andrea, Automation and the Future of Work: Assessing the Role of Labor Flexibility (May 1, 2019). Available at SSRN: https://ssrn.com/abstract=3381363 or http://dx.doi.org/10.2139/ssrn.3381363

Michele Fornino (Contact Author)

International Monetary Fund (IMF) ( email )

700 19th Street N.W.
Washington, DC 20431
United States

Andrea Manera

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

International Monetary Fund (IMF) ( email )

700 19th Street, N.W.
Washington, DC 20431
United States

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