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[journal article]

dc.contributor.authorLudwig, Volkerde
dc.contributor.authorBrüderl, Josefde
dc.date.accessioned2021-12-13T11:33:07Z
dc.date.available2021-12-13T11:33:07Z
dc.date.issued2021de
dc.identifier.issn1869-8999de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/76245
dc.description.abstractThe estimation of impact functions - that is the time-varying causal effect of a dichotomous treatment (e.g., marriage, divorce, parenthood) on outcomes (e.g., earnings, well-being, health) - has become a standard procedure in demographic applications. The basic methodology of estimating impact functions with panel data and fixed-effects regressions is now widely known. However, many researchers may not be fully aware of the methodological subtleties of the approach, which may lead to biased estimates of the impact function. In this paper, we highlight potential pitfalls and provide guidance on how to avoid these in practice. We demonstrate these issues with exemplary analyses, using data from the German Family Panel (pairfam) study and estimating the effect of motherhood on life satisfaction.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.ddcSoziologie, Anthropologiede
dc.subject.ddcSociology & anthropologyen
dc.subject.otherImpact functions; Fixed effects regression; Negative weighting bias; German Family Panel (pairfam), release 11.0; Panel data analysisde
dc.titleWhat You Need to Know When Estimating Impact Functions with Panel Data for Demographic Researchde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalComparative Population Studies - Zeitschrift für Bevölkerungswissenschaft
dc.source.volume46de
dc.publisher.countryDEUde
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.classozFamiliensoziologie, Sexualsoziologiede
dc.subject.classozFamily Sociology, Sociology of Sexual Behavioren
dc.subject.thesozDemographiede
dc.subject.thesozdemographyen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozPanelde
dc.subject.thesozpanelen
dc.subject.thesozForschungsansatzde
dc.subject.thesozresearch approachen
dc.subject.thesozMutterschaftde
dc.subject.thesozmotherhooden
dc.subject.thesozLebenszufriedenheitde
dc.subject.thesozsatisfaction with lifeen
dc.subject.thesozBundesrepublik Deutschlandde
dc.subject.thesozFederal Republic of Germanyen
dc.rights.licenceCreative Commons - Namensnennung, Weitergabe unter gleichen Bedingungen 4.0de
dc.rights.licenceCreative Commons - Attribution-ShareAlike 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10039070
internal.identifier.thesoz10040547
internal.identifier.thesoz10054018
internal.identifier.thesoz10043917
internal.identifier.thesoz10052813
internal.identifier.thesoz10050732
internal.identifier.thesoz10037571
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo453-486de
internal.identifier.classoz10105
internal.identifier.classoz10209
internal.identifier.journal60
internal.identifier.document32
internal.identifier.ddc300
internal.identifier.ddc301
dc.source.issuetopicIdentification of causal mechanisms in demographic research: the contribution of panel datade
dc.identifier.doihttps://doi.org/10.12765/CPoS-2021-16de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence24
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.wellformedfalse
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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