Automation, robots and wage inequality in Germany : a decomposition analysis

Schmid, Ramona; Brall, Franziska

Automation, robots and wage inequality in Germany : a decomposition analysis

dc.contributor.author	Schmid, Ramona	de
dc.contributor.author	Brall, Franziska	de
dc.date.accessioned	2024-04-08T08:59:45Z
dc.date.available	2024-04-08T08:59:45Z
dc.date.created	2020-10-22
dc.date.issued	2020
dc.description.abstract	We analyze how and through which channels wage inequality is affected by the rise in automation and robotization in the manufacturing sector in Germany from 1996 to 2017. Combining rich linked employer-employee data accounting for a variety of different individual, firm and industry characteristics with data on industrial robots and automation probabilities of occupations, we are able to disentangle different potential causes behind changes in wage inequality in Germany. We apply the recentered influence function (RIF) regression based Oaxaca-Blinder (OB) decomposition on several inequality indices and find evidence that besides personal characteristics like age and education the rise in automation and robotization contributes significantly to wage inequality in Germany. Structural shifts in the workforce composition towards occupations with lower or medium automation threat lead to higher wage inequality, which is observable over the whole considered time period. The effect of automation on the wage structure results in higher inequality in the 1990s and 2000s, while it has a significant decreasing inequality effect for the upper part of the wage distribution in the more recent time period.	en
dc.identifier.swb	1736243551
dc.identifier.uri	https://hohpublica.uni-hohenheim.de/handle/123456789/6550
dc.identifier.urn	urn:nbn:de:bsz:100-opus-18163
dc.language.iso	eng
dc.relation.ispartofseries	Hohenheim discussion papers in business, economics and social sciences; 2020,14
dc.rights.license	publ-mit-pod	en
dc.rights.license	publ-mit-pod	de
dc.rights.uri	http://opus.uni-hohenheim.de/doku/lic_mit_pod.php
dc.subject	Wage inequality	en
dc.subject	Robots	en
dc.subject	Decomposition method	en
dc.subject	RIF-regression	en
dc.subject	Linked employer–employee data	en
dc.subject	Germany	en
dc.subject.ddc	330
dc.subject.gnd	Roboter	de
dc.subject.gnd	Automation	de
dc.subject.gnd	Lohn	de
dc.subject.gnd	Lohnentwicklung	de
dc.subject.gnd	Deutschland	de
dc.title	Automation, robots and wage inequality in Germany : a decomposition analysis	de
dc.type.dcmi	Text	de
dc.type.dini	WorkingPaper	de
local.access	uneingeschränkter Zugriff	en
local.access	uneingeschränkter Zugriff	de
local.bibliographicCitation.publisherPlace	Universität Hohenheim	de
local.export.bibtex	@techreport{Schmid2020, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/6550}, author = {Schmid, Ramona and Brall, Franziska}, title = {Automation, robots and wage inequality in Germany : a decomposition analysis}, year = {2020}, school = {Universität Hohenheim}, series = {Hohenheim discussion papers in business, economics and social sciences}, }
local.export.bibtexAuthor	Schmid, Ramona and Brall, Franziska
local.export.bibtexKey	Schmid2020
local.export.bibtexType	@techreport
local.faculty.number	3	de
local.institute.number	520	de
local.opus.number	1816
local.series.issueNumber	2020,14
local.series.title	Hohenheim discussion papers in business, economics and social sciences
local.university	Universität Hohenheim	de
local.university.faculty	Faculty of Business, Economics and Social Sciences	en
local.university.faculty	Fakultät Wirtschafts- und Sozialwissenschaften	de
local.university.institute	Institute for Economics	en
local.university.institute	Institut für Volkswirtschaftslehre	de

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