Big data at work: Age and labor productivity in the service sector

  • Does productivity decline with age? Does population aging harm economic growth? We exploit process-generated data from a large and typical service-sector company. We find no decline in average productivity in the age range of 20–60. This result is precisely measured. Our innovative identification strategy corrects for sample selection, endogeneity of age composition and age-cohort confounding. OurDoes productivity decline with age? Does population aging harm economic growth? We exploit process-generated data from a large and typical service-sector company. We find no decline in average productivity in the age range of 20–60. This result is precisely measured. Our innovative identification strategy corrects for sample selection, endogeneity of age composition and age-cohort confounding. Our big data are essential to extract the signal from the noise that has marred many previous studies. While average productivity stays flat, we find variation according to task complexity. Productivity increases with age in teams with more demanding tasks and decreases in routine tasks.show moreshow less

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Metadaten
Author:Axel Börsch-SupanORCiDGND, Christian Hunkler, Matthias WeissOTHORCiD
DOI:https://doi.org/10.1016/j.jeoa.2021.100319
Parent Title (German):The Journal of the Economics of Ageing
Publisher:Elsevier
Document Type:Article
Language:German
Year of first Publication:2021
Release Date:2021/10/06
Tag:Age-productivity profiles; Demographic change; Service industry
Volume:19
Article Number:100319
Institutes:Fakultät Business and Management
Begutachtungsstatus:peer-reviewed
research focus:Materialien und Produktion
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG
Frontdoor-URL:https://opus4.kobv.de/opus4-oth-regensburg/2102
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