Automation, Labor Share, and Productivity: Plant-Level Evidence from U.S. Manufacturing
September 2018
Working Paper Number:
CES-18-39
Abstract
This paper provides new evidence on the plant-level relationship between automation, labor and capital usage, and productivity. The evidence, based on the U.S. Census Bureau's Survey of Manufacturing Technology, indicates that more automated establishments have lower production labor share and higher capital share, and a smaller fraction of workers in production who receive higher wages. These establishments also have higher labor productivity and experience larger long-term labor share declines. The relationship between automation and relative factor usage is modelled using a CES production function with endogenous technology choice. This deviation from the standard Cobb-Douglas assumption is necessary if the within-industry differences in the capital-labor ratio are determined by relative input price differences. The CES-based total factor productivity estimates are significantly different from the ones derived under Cobb-Douglas production and positively related to automation. The results, taken together with earlier findings of the productivity literature, suggest that the adoption of automation may be one mechanism associated with the rise of superstar firms.
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demand,
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manufacturing,
industrial,
productivity growth,
technology,
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manufacturer,
labor productivity,
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Annual Survey of Manufactures,
Center for Economic Studies,
Ordinary Least Squares,
Total Factor Productivity,
Cobb-Douglas,
Fabricated Metal Products,
Survey of Manufacturing Technology,
Census of Manufacturing Firms,
Generalized Method of Moments
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