La importancia de corregir por el sesgo de selección en el análisis de las brechas salariales por género: un estudio para Argentina, Brasil y México
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Cited by:- Madrigal, Lucia & Torero, Máximo, 2016. "Using quantitative tools to measure gender differences within value chains," IFPRI book chapters, in: Devaux, André; Donovan, Jason; Horton, Douglas E.; Torero, Maximo (ed.), Innovation for inclusive value-chain development: Successes and challenges, chapter 14, pages 441-464, International Food Policy Research Institute (IFPRI).
- Devaux, A. & Donovan, J. & Horton, D. & Torero, M., 2016. "Innovation for inclusive value-chain development: successes and challenges," IFPRI books, International Food Policy Research Institute (IFPRI), number 978-0-89629-213-0 edited by Devaux, André; Donovan, Jason; Horton, Douglas E.; Torero, Maximo.
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More about this item
Keywords
brechas salariales; discriminación laboral; sesgo de selección; Heckit;
All these keywords.JEL classification:
- J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
- J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
- J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
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