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Dissecting Between-Plant and Within-Plant Wage Dispersion - Evidence from Germany

Authors: Daniel Baumgarten; Gabriel Felbermayr; Sybille Lehwald;

Dissecting Between-Plant and Within-Plant Wage Dispersion - Evidence from Germany

Abstract

Using rich linked employer–employee data for (West) Germany between 1996 and 2014, we conduct a decomposition analysis based on recentered influence function (RIF) regressions to analyze the relative contributions of various plant and worker characteristics to the rise in German wage dispersion. Moreover, we separately investigate the sources of between‐plant and within‐plant wage dispersion. We find that industry effects and the collective bargaining regime contribute the most to rising wage inequality. In the case of collective bargaining, both the decline in collective bargaining coverage and the increase in wage dispersion among the group of covered plants have played important roles.

Countries
Germany, Germany, Austria
Keywords

Decomposition, RIF-Regression, Linked employeremployee data, decomposition, 330, ddc:330, wage inequality, F16, rif-regression, Wage inequality, J51, linked employer-employee data, J31, Linked employer-employee data, C21, RIF-regression

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%
Green
hybrid