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Measuring the technological bias of robot adoption and its implications for the aggregate labor share

Michael Koch, Ilya Manuylov

发表年份
2023
引用次数
15

摘要

This paper investigates the technological bias of robot adoption using a rich panel data set of Spanish manufacturing firms over a 25-year period. We apply the production function estimation when productivity is multidimensional to the case of an automating technology, to reveal the Hicks-neutral and labor-augmenting technological change brought about by robot adoption within firms. Our results indicate a causal effect of robots on Hicks-neutral and labor-augmenting components of productivity. The biased technological change turns out to be an important determinant of the decline in the aggregate share of labor in the Spanish manufacturing sector.

关键词

Technological changeProductivityAggregate (composite)Technical changePanel dataEconomicsFunction (biology)RobotManufacturing sectorProduction (economics)

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