Estimating the employer size-wage premium in a panel data model with comparative advantage and non-random selection
Autor(a) principal: | |
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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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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 |
format |
article |
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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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 |
repository.mail.fl_str_mv |
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1799132952144117760 |