The Macroeconomics of Automation: Data, Theory, and Policy Analysis
Nir Jaimovich,
Itay Saporta-Eksten,
Henry Siu and
Yaniv Yedid-Levi
Authors registered in the RePEc Author Service: Itay Saporta Eksten
No 27122, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
During the last four decades, the U.S. has experienced a fall in the employment in middle-wage, "routine-task-intensive," occupations. We analyze the characteristics of those who used to be employed in such occupations and show that this type of individual is nowadays more likely to be out of the labor force or working in low-paying occupations. Based on these findings, we develop a quantitative, general equilibrium model, with heterogeneous agents, labor force participation, occupational choice, and investment in physical and automation capital. We first use the model to evaluate the distributional consequences of automation. We find heterogeneity in its impact across different occupations, leading to a significant polarization in welfare. We then use this framework as a laboratory to evaluate various public policies such as retraining, and explicitly redistributive policies that transfer resources from those who benefit from automation to those who bear the brunt of its costs. We assess the tradeoffs between the aggregate impact and welfare distributional consequences of such policies.
JEL-codes: E24 E25 E61 (search for similar items in EconPapers)
Date: 2020-05
New Economics Papers: this item is included in nep-dge, nep-mac and nep-ore
Note: EFG
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Citations: View citations in EconPapers (16)
Published as Jaimovich, Nir & Saporta-Eksten, Itay & Siu, Henry & Yedid-Levi, Yaniv, 2021. "The macroeconomics of automation: Data, theory, and policy analysis," Journal of Monetary Economics, Elsevier, vol. 122(C), pages 1-16.
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Journal Article: The macroeconomics of automation: Data, theory, and policy analysis (2021) 
Working Paper: The Macroeconomics of Automation: Data, Theory, and Policy Analysis (2020) 
Working Paper: The Macroeconomics of Automation: Data, Theory, and Policy Analysis (2020) 
Working Paper: The macroeconomics of automation: data, theory, and policy analysis (2020) 
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