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dc.contributor.authorYanık İlhan, Bengi
dc.contributor.authorBayar, Ayşe Aylin
dc.contributor.authorKorucu Gümüşoğlu, Nebile
dc.date.accessioned2020-02-18T09:56:08Z
dc.date.available2020-02-18T09:56:08Z
dc.date.issued2019-07
dc.identifier27tr_TR
dc.identifier.issn1305-5577
dc.identifier.urihttps://hdl.handle.net/11413/6239
dc.description.abstractThe informal social networks are one of the prominent factors in the labor market decisions both for the supply and demand side. Particularly, in developing countries, like Turkey, these informal networks have an influence on the labor market. However, even the existence of this issue, the impact of informal social networks has not been argued sufficiently for the Turkish case. In this respect, this study advances existing researches, by implementing the quantile regression method to reveal the impact of the informal social networks. The quantile regression analysis reveals the impacts of the different quantiles of wages. The Household Labor Force Survey (HLFS) is utilized for 2004-2016 period. The findings indicate that being recruited by social contacts has negative impact on wage levels and in consequence, aggregate productivity is decreased from low quality of labor force and the low return to the firm.
dc.language.isoen_UStr_TR
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectInformal Networks
dc.subjectQuantile Regression
dc.subjectEmployment
dc.subjectTurkey
dc.subjectGayri Resmi Ağlar
dc.subjectKuantil Regresyon
dc.subjectİstihdam
dc.subjectTürkiye
dc.titleHow do informal social networks impact on labor earnings in Turkey?
dc.typeArticletr_TR
dc.relation.journalSosyoekonomitr_TR
local.journal.issue41tr_TR
local.journal.startpage183tr_TR
local.journal.endpage210tr_TR
dc.identifier.wos000488269100009


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States