Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10908/18472
Título : How big are the differences in the informal sector wage gap in Argentina? : evidence using quantile regression on panel data
Autor/a: Romero, María Noelia
Mentor/a: Sosa Escudero, Walter
Fecha de publicación : ago-2019
Editor: Universidad de San Andrés. Departamento de Economía
Resumen : I estimate a quantile regression (QR) to assess informal wage penalties at different points along the conditional wage distribution in Argentina and within the country. I exploit a panel data set from a quarterly household survey from 2016 to 2018 (Encuesta Permanente de Hogares) from the National Institute of Statistics in Argentina, INDEC (Instituto Nacional de Estadistica y Censos de Argentina) and the identifications relays on the cross-sector movers. Results show that the wage gap is bigger for the lower 20% of the distribution than the upper 80% of conditional distribution for the whole country, and this effect is reduced by one third when I consider the individuals' heterogeneity. I find a reversion in the penalty gap appears in Buenos Aires, NOA and NEA, where the lower and upper workers have a higher penalty than the median informal worker. These estimations are robust to the informal definition and highlight the importance of a distribution analysis to account for heterogeneous effects in the labor market.
Descripción : Fil: Romero, María Noelia. Universidad de San Andrés. Departamento de Economía; Argentina.
URI : http://hdl.handle.net/10908/18472
Aparece en las colecciones: Tesis de Maestría en Economía

Ficheros en este ítem:
Fichero Tamaño Formato  
[P][W] T.M. Eco. Romero, María Noelia.pdf4.91 MBAdobe PDFVisualizar/Abrir


Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.