CEO pay-for-performance heterogeneity using quantile regression
dc.contributor.author | Hallock, Kevin F. | |
dc.contributor.author | Madalozzo, Regina Carla | |
dc.contributor.author | Reck, Clayton G. | |
dc.coverage.cidade | Nova Iorque | pt_BR |
dc.coverage.pais | Estados Unidos | pt_BR |
dc.creator | Hallock, Kevin F. | |
dc.creator | Madalozzo, Regina Carla | |
dc.creator | Reck, Clayton G. | |
dc.date.accessioned | 2022-11-07T23:45:59Z | |
dc.date.available | 2022-11-07T23:45:59Z | |
dc.date.issued | 2008 | |
dc.description.other | We provide some examples of how quantile regression can be used to investigate heterogeneity in pay–firm size and pay-performance relationships for U.S. CEOs. For example, do conditionally (predicted) high-wage managers have a stronger relationship between pay and performance than conditionally low-wage managers? Our results using data over a decade show, for some standard specifications, there is considerable heterogeneity in the returns to firm performance across the conditional distribution of wages. Quantile regression adds substantially to our understanding of the pay-performance relationship. This heterogeneity is masked when using more standard empirical techniques. | pt_BR |
dc.format.medium | Digital | pt_BR |
dc.identifier.uri | https://repositorio.insper.edu.br/handle/11224/4657 | |
dc.identifier.wpe | 08/jul | pt_BR |
dc.language.iso | Inglês | pt_BR |
dc.publisher | Cornell University Center for Advanced Human Resource Studies | pt_BR |
dc.relation.ispartofseries | CAHRS Working Paper Series | pt_BR |
dc.rights.license | O INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DOS USUÁRIOS INDIVIDUAIS VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITOR | pt_BR |
dc.subject.keywords | Executive compensation | pt_BR |
dc.subject.keywords | Quantile regression | pt_BR |
dc.subject.keywords | Pay and performance | pt_BR |
dc.title | CEO pay-for-performance heterogeneity using quantile regression | pt_BR |
dc.type | working paper | |
dspace.entity.type | Publication | |
local.identifier.sourceUri | http://catalog.library.cornell.edu/ | |
local.subject.cnpq | Ciências Sociais Aplicadas | pt_BR |
local.type | Working Paper | pt_BR |
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