Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/333281 
Year of Publication: 
2024
Citation: 
[Journal:] Journal of Economics and Statistics [ISSN:] 2366-049X [Volume:] 244 [Issue:] 3 [Year:] 2024 [Pages:] 201-235
Publisher: 
De Gruyter Oldenbourg, Berlin
Abstract: 
Using a newly collected dataset at the plant level from 2014 to 2018, we provide the first microscopic portrait of robotization in Germany and study the correlates of robot adoption. Our descriptive analysis uncovers five stylized facts: (1) Robot use is relatively rare. (2) The distribution of robots is highly skewed. (3) New robot adopters contribute substantially to the recent robotization. (4) Robot users are exceptional. (5) Heterogeneity in robot types matters. Our regression results further suggest plant size, high-skilled labor share, exporter status, and labor shortage to be strongly associated with the future probability of robot adoption.
Subjects: 
automation
labor
plant-level
productivity
robot adoption
Robots
JEL: 
J24
O14
O33
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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