Data and Code for: "The Local Labor Market Effects of Modern Manufacturing Capital: Evidence from France"
Principal Investigator(s): View help for Principal Investigator(s) Philippe Aghion, Insead; Celine Antonin, OFCE; Simon Bunel, Banque de France; Xavier Jaravel, London School of Economics
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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replication_AEAPP-2023-1039 | 02/08/2023 09:00:AM | ||
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application/pdf | 45.4 KB | 02/08/2023 03:45:AM |
Project Citation:
Aghion, Philippe, Antonin, Celine, Bunel, Simon, and Jaravel, Xavier. Data and Code for: “The Local Labor Market Effects of Modern Manufacturing Capital: Evidence from France.” Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-05-05. https://doi.org/10.3886/E184641V1
Project Description
Summary:
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Using an event study methodology and comprehensive micro data from the French manufacturing sector, we analyze the local labor market effects of investments in modern manufacturing capital, including modern automation technologies. We estimate that commuting zones with higher investments in modern manufacturing capital and automation benefit from higher labor demand, with an increase in both local employment and wages. Our findings are consistent with a task-based model where the productivity effects of modern capital investments and automation outweigh their displacement effect.
Scope of Project
Subject Terms:
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Administrative data;
Balance-sheet data;
Matched Employer-Employee Data
JEL Classification:
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D24 Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
J23 Labor Demand
J31 Wage Level and Structure; Wage Differentials
O32 Management of Technological Innovation and R&D
D24 Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
J23 Labor Demand
J31 Wage Level and Structure; Wage Differentials
O32 Management of Technological Innovation and R&D
Geographic Coverage:
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France
Time Period(s):
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2003 – 2016
Universe:
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French Commuting Zones between 2003 and 2016
Data Type(s):
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administrative records data;
aggregate data
Methodology
Unit(s) of Observation:
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Commuting Zones * year
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