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

被引：14
|
作者：
Borsch-Supan, Axel [1 ,2 ,3 ]
Hunkler, Christian [1 ,4 ]
Weiss, Matthias [1 ,5 ,6 ]
机构：
[1] Max Planck Inst Social Law & Social Policy, Amalienstr 33, Munich, Germany
[2] Tech Univ Munich, Munich, Germany
[3] Natl Bur Econ Res NBER, Cambridge, MA USA
[4] Humboldt Univ, Berlin, Germany
[5] Ostbayer Tech Hsch OTH, Regensburg, Germany
[6] Maastricht Univ, Res Ctr Educ & Labour Market ROA, Maastricht, Netherlands
来源：
JOURNAL OF THE ECONOMICS OF AGEING | 2021年 / 19卷
关键词：
Age-productivity profiles; Service industry; Demographic change; COMPARATIVE JOB-PERFORMANCE; WAGES;
D O I：
10.1016/j.jeoa.2021.100319
中图分类号：
C921 [人口统计学];
学科分类号：
摘要：
Does productivity decline with age? Does population aging harm economic growth? We exploit processgenerated 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.
引用
收藏
页数：12
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