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

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dc.contributor.authorSchmid, Ramonade
dc.contributor.authorBrall, Franziskade
dc.date.accessioned2024-04-08T08:59:45Z
dc.date.available2024-04-08T08:59:45Z
dc.date.created2020-10-22
dc.date.issued2020
dc.description.abstractWe 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.swb1736243551
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/6550
dc.identifier.urnurn:nbn:de:bsz:100-opus-18163
dc.language.isoeng
dc.relation.ispartofseriesHohenheim discussion papers in business, economics and social sciences; 2020,14
dc.rights.licensepubl-mit-poden
dc.rights.licensepubl-mit-podde
dc.rights.urihttp://opus.uni-hohenheim.de/doku/lic_mit_pod.php
dc.subjectWage inequalityen
dc.subjectRobotsen
dc.subjectDecomposition methoden
dc.subjectRIF-regressionen
dc.subjectLinked employer–employee dataen
dc.subjectGermanyen
dc.subject.ddc330
dc.subject.gndRoboterde
dc.subject.gndAutomationde
dc.subject.gndLohnde
dc.subject.gndLohnentwicklungde
dc.subject.gndDeutschlandde
dc.titleAutomation, robots and wage inequality in Germany : a decomposition analysisde
dc.type.dcmiTextde
dc.type.diniWorkingPaperde
local.accessuneingeschränkter Zugriffen
local.accessuneingeschränkter Zugriffde
local.bibliographicCitation.publisherPlaceUniversität Hohenheimde
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.bibtexAuthorSchmid, Ramona and Brall, Franziska
local.export.bibtexKeySchmid2020
local.export.bibtexType@techreport
local.faculty.number3de
local.institute.number520de
local.opus.number1816
local.series.issueNumber2020,14
local.series.titleHohenheim discussion papers in business, economics and social sciences
local.universityUniversität Hohenheimde
local.university.facultyFaculty of Business, Economics and Social Sciencesen
local.university.facultyFakultät Wirtschafts- und Sozialwissenschaftende
local.university.instituteInstitute for Economicsen
local.university.instituteInstitut für Volkswirtschaftslehrede

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