Fredrik Heyman (), Pehr-Johan Norbäck () and Lars Persson ()
Additional contact information
Fredrik Heyman: Research Institute of Industrial Economics (IFN), Postal: Research Institute of Industrial Economics, Box 55665, SE-102 15 Stockholm, Sweden
Pehr-Johan Norbäck: Research Institute of Industrial Economics (IFN), Postal: Research Institute of Industrial Economics, Box 55665, SE-102 15 Stockholm, Sweden
Lars Persson: Research Institute of Industrial Economics (IFN), Postal: Research Institute of Industrial Economics, Box 55665, SE-102 15 Stockholm, Sweden
Abstract: We construct an oligopolistic model with heterogeneous firms where new automation technologies displace workers. We show that both leading and laggard firms increase their productivity when automating—but only laggards increase employment of automation-susceptible workers. We test the model’s predictions using Swedish matched employer—employee data combined with a novel firm-level automation measure of worker exposure to new technologies. Our empirical results strongly support a relationship between workforce exposure to automation and productivity that varies by firm type. Consequently, a diversity of firm types may function as insurance against excessive labor demand reductions in periods of fast technological change.
Keywords: Automation; Robotics; Job displacement; Firm Heterogeneity; Productivity; Matched employer-employee data
Language: English
65 pages, First version: February 9, 2021. Revised: March 9, 2023. Earlier revisions: February 11, 2021, February 11, 2021.
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