Robot Imports and Firm-Level Outcomes
By Alessandra Bonfiglioli, Rosario Crinó, Harald Fadinger, Gino Gancia. Social Science Research Network, 2020
144 citations recorded by the source corpus.
We use French data over the 1994-2013 period to study how imports of industrial robots affect firm-level outcomes. Guided by a simple model, we develop a novel empirical strategy to identify the causal effects of robot adoption. Our results suggest that, while demand shocks generate a positive correlation between robot imports and employment at the firm level, exogenous exposure to automation leads to job losses. We also find that robot exposure increases labour productivity and some evidence that it may raise the relative demand for high-skill professions.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/e2405fec0ff588826d6e0ed7dc1e38203876485f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- P. Restrepo
- David H. Autor
- Daron Acemoglu
- A. Salomons
- B. Seegmiller
- Caroline Chin
- David Hémous
- John Van Reenen
Citations in the corpus
- New Frontiers: The Origins and Content of New Work, 1940–2018 (2022, background): “On industrial robotics, see Graetz and Michaels (2018), Chiacchio et al. (2018), Humlum (2019), Acemoglu et al. (2020b); Acemoglu and Restrepo (2020), De Vries et al. (2020), Bonfiglioli et al. (2020), Faber (2020), and Dauth et al. (2021).”
- AI and Jobs: Evidence from Online Vacancies (2020, background): “…(Graetz and Michaels, 2019), local labor market effects (Acemoglu and Restrepo, 2020a), or firm-level variation (Dinlersoz and Wolf, 2018; Bessen et al., 2019, Bonfiglioli et al., 2019; Dixon, Hong and Wu, 2019; Koch, Manuylov and Smolka, 2021; Humlum 2019 and Acemoglu, Lelarge and Restrepo, 2020).”