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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire d'analyse et de recherche en économie et finance internationales [Larefi]
dc.contributor.authorBARGAIN, Olivier
dc.contributor.authorETIENNE, Audrey
dc.contributor.authorMELLY, Blaise
dc.date.accessioned2022-05-31T13:50:33Z
dc.date.available2022-05-31T13:50:33Z
dc.date.issued2021-09
dc.identifier.issn0147-5967en_US
dc.identifier.urioai:crossref.org:10.1016/j.jce.2021.02.002
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/140125
dc.description.abstractEnInformal work is traditionally large in Russia and has further increased in the recent years. We explore the implications of this shift in terms of wage dynamics. Our characterization is based on the estimation of informal pay gaps at the mean and along the wage distribution, relying on the Russian Longitudinal Monitoring Survey for 2003–2017. Our approach comprises three original features: we rely on unconditional quantile effects of informality, we incorporate quantile-specific fixed effects using a tractable approach, and we suggest a treatment of the incidental parameter bias. Over the whole period, informal wage penalties are relatively small and do not suggest heavily segmented labor markets, even at low wage levels. Yet, in the past decade, a substantial negative selection into informal employment and self-employment has taken place, on average and especially at low earnings. Economic downturns and labor market policies have likely contributed to the shakeout of less productive workers in the formal sector, making the low-tier informal sector more of a last resort.
dc.language.isoENen_US
dc.sourcecrossref
dc.subject.enRussia
dc.subject.enInformal employment
dc.subject.enWage gap
dc.subject.enUnconditional quantile regression
dc.subject.enFixed effects
dc.subject.enIncidental parameter bias
dc.subject.enJackknife
dc.title.enInformal pay gaps in good and bad times: Evidence from Russia
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.jce.2021.02.002en_US
dc.subject.halÉconomie et finance quantitative [q-fin]en_US
dc.subject.jelJ - Labor and Demographic Economics::J3 - Wages, Compensation, and Labor Costs::J31 - Wage Level and Structure; Wage Differentialsen_US
dc.subject.jelC - Mathematical and Quantitative Methods::C1 - Econometric and Statistical Methods and Methodology: General::C14 - Semiparametric and Nonparametric Methods: Generalen_US
bordeaux.journalJournal of Comparative Economicsen_US
bordeaux.page693-714en_US
bordeaux.volume49en_US
bordeaux.hal.laboratoriesLaboratoire d'analyse et de recherche en économie et finance internationales (LAREFI) - EA2954en_US
bordeaux.issue3en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRS
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.identifierhal-03683390
hal.version1
hal.date.transferred2022-05-31T13:50:35Z
hal.exporttrue
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Comparative%20Economics&rft.date=2021-09&rft.volume=49&rft.issue=3&rft.spage=693-714&rft.epage=693-714&rft.eissn=0147-5967&rft.issn=0147-5967&rft.au=BARGAIN,%20Olivier&ETIENNE,%20Audrey&MELLY,%20Blaise&rft.genre=article


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