Muestra métricas de impacto externas asociadas a la publicación. Para mayor detalle:
| Indexado |
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| DOI | 10.1086/703163 | ||||
| Año | 2019 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Referrals can improve screening and self-selection of applicants during the hiring process. We model and estimate how referral information affects the selection of employees through job offers, acceptances, and turnover. Using data from a call center company, we show that referrals help employers attract applicants of superior performance. Yet performance differences between referred and nonreferred workers diminish with tenure through selective turnover. Our estimates reveal that referrals allow employers to screen on hard-to-observe but performance-relevant attributes for employees of high performance and high propensity to stay. Thus, referred applicants complete much of the sorting during the hiring process.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Barr, Tavis | Hombre |
TalenTeck - Estados Unidos
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| 2 | Bojilov, Raicho | - |
Pontificia Universidad Católica de Chile - Chile
Ecole Polytech - Francia Centre de Recherche en Economie et Statistique - Francia |
| 3 | Munasinghe, Lalith | Hombre |
Barnard Coll - Estados Unidos
Columbia Univ - Estados Unidos Barnard College - Estados Unidos |
| Agradecimiento |
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| We thank P. Cahuc, K. Gautier, L. Gee, M. Hoffman, G. Hollard, H. Kleven, F. Kramarz, J.-B. Michau, O. Nordstrom Skans, B. Salanie, and many seminar participants for their helpful comments and suggestions. R. B. is supported by a grant from the French National Research Agency (ANR), "Investissements d'Avenir" (ANR-11-IDEX-0003/Labex Ecodec/ANR-11-LABX-0047). Contact the corresponding author, Raicho Bojilov, atraicho.bojilov@uc.cl.Information concerning access to the data used in this paper is available as supplemental material online. |