Estimating the employer size-wage premium in a panel data model with comparative advantage and non-random selection

Detalhes bibliográficos
Autor(a) principal: Cerejeira, João
Data de Publicação: 2004
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/1345
Resumo: This paper considers the estimation of the employer-size wage e?ect using a panel of employer-employee matched data. We test for the possibility of different returns to observable human capital variables as well as examine the role played by unmeasured skills in driving the allocation of workers across firms of di?erent sizes. Our results show that some of the observed skills; namely, education, age, and tenure have high returns in large firms, while the opposite is true for high skilled occupations and for the gender gap. On the other hand, the price of non-observed skills is reduced as firm size increases. This finding is consistent with explanations based on the premise that large employers have more difficulty monitoring workers, which therefore leads them to monitor less closely.
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spelling Estimating the employer size-wage premium in a panel data model with comparative advantage and non-random selectionFirm sizeWagesNon-random selectionThis paper considers the estimation of the employer-size wage e?ect using a panel of employer-employee matched data. We test for the possibility of different returns to observable human capital variables as well as examine the role played by unmeasured skills in driving the allocation of workers across firms of di?erent sizes. Our results show that some of the observed skills; namely, education, age, and tenure have high returns in large firms, while the opposite is true for high skilled occupations and for the gender gap. On the other hand, the price of non-observed skills is reduced as firm size increases. This finding is consistent with explanations based on the premise that large employers have more difficulty monitoring workers, which therefore leads them to monitor less closely.Fundação para a Ciência e Tecnologia (FCT) - Programa Operacional Ciência, Tecnologia e Inovação (POCTI).Universidade do Minho. Núcleo de Investigação em Políticas Económicas (NIPE)Universidade do MinhoCerejeira, João20042004-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/1345enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:43:13Zoai:repositorium.sdum.uminho.pt:1822/1345Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:40:37.754979Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Estimating the employer size-wage premium in a panel data model with comparative advantage and non-random selection
title Estimating the employer size-wage premium in a panel data model with comparative advantage and non-random selection
spellingShingle Estimating the employer size-wage premium in a panel data model with comparative advantage and non-random selection
Cerejeira, João
Firm size
Wages
Non-random selection
title_short Estimating the employer size-wage premium in a panel data model with comparative advantage and non-random selection
title_full Estimating the employer size-wage premium in a panel data model with comparative advantage and non-random selection
title_fullStr Estimating the employer size-wage premium in a panel data model with comparative advantage and non-random selection
title_full_unstemmed Estimating the employer size-wage premium in a panel data model with comparative advantage and non-random selection
title_sort Estimating the employer size-wage premium in a panel data model with comparative advantage and non-random selection
author Cerejeira, João
author_facet Cerejeira, João
author_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Cerejeira, João
dc.subject.por.fl_str_mv Firm size
Wages
Non-random selection
topic Firm size
Wages
Non-random selection
description This paper considers the estimation of the employer-size wage e?ect using a panel of employer-employee matched data. We test for the possibility of different returns to observable human capital variables as well as examine the role played by unmeasured skills in driving the allocation of workers across firms of di?erent sizes. Our results show that some of the observed skills; namely, education, age, and tenure have high returns in large firms, while the opposite is true for high skilled occupations and for the gender gap. On the other hand, the price of non-observed skills is reduced as firm size increases. This finding is consistent with explanations based on the premise that large employers have more difficulty monitoring workers, which therefore leads them to monitor less closely.
publishDate 2004
dc.date.none.fl_str_mv 2004
2004-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/1345
url http://hdl.handle.net/1822/1345
dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv Universidade do Minho. Núcleo de Investigação em Políticas Económicas (NIPE)
publisher.none.fl_str_mv Universidade do Minho. Núcleo de Investigação em Políticas Económicas (NIPE)
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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