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Computing Capital Stocks in the German Social Security Records and Quantifying Their Role for Wage Inequality

Markus Janser et al.

CESifo Economic Studies2024https://doi.org/10.1093/cesifo/ifae021article
AJG 2ABDC C
Weight
0.43

What the paper says

Abstract We develop a method to impute capital stocks from investments for a sub-sample of firms in the German social security records and implement a machine-learning algorithm to predict capital stocks for the universe of firms. These capital stocks explain 40% of the variation in capital stocks of the Bureau van Dijk data. We make our data available for other researchers. We find that these capital stocks explain a sizeable fraction of wage inequality by extending the variance decomposition of Card et al. (2013), suggesting that rising firm heterogeneity in capital intensity may further amplify wage inequality. (JEL codes: C81, D24, and J31)

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https://doi.org/https://doi.org/10.1093/cesifo/ifae021

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@article{markus2024,
  title        = {{Computing Capital Stocks in the German Social Security Records and Quantifying Their Role for Wage Inequality}},
  author       = {Markus Janser et al.},
  journal      = {CESifo Economic Studies},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1093/cesifo/ifae021},
}

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Computing Capital Stocks in the German Social Security Records and Quantifying Their Role for Wage Inequality

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Evidence weight

0.43

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.31 × 0.4 = 0.13
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.