Labor Supply in Brazil: an Analysis of the Second Job in the Urban and Rural Areas

Priscila Casari ()
Additional contact information
Priscila Casari: FACE-UFG, Ciências Econômicas

No 19, Working papers - Textos para Discussao do Curso de Ciencias Economicas da UFG from Curso de Ciencias Economicas da Universidade Federal de Goias - FACE

Abstract: The aim of this paper is to estimate the labor supply in the secondary market, given the socioeconomic characteristics of workers and job characteristics such as heterogeneity and stability. Therefore, data used is PNAD (2008). The population studied is workers with one or two jobs and the labor supply is estimated by a Tobit model. The results indicate that the time constraint, the heterogeneity in occupations and stability contribute to the increase in labor supply in the secondary job market in both urban and rural areas. Moreover, there is evidence that income from the main job is insufficient even for workers with more schooling.

Keywords: second job; labor supply; tobit (search for similar items in EconPapers)
Pages: 20 pages
Date: 2010-10
New Economics Papers: this item is included in nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://files.cercomp.ufg.br/weby/up/118/o/TD_019.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ufb:wpaper:019

Access Statistics for this paper

More papers in Working papers - Textos para Discussao do Curso de Ciencias Economicas da UFG from Curso de Ciencias Economicas da Universidade Federal de Goias - FACE Universidade Federal de Goias UFG - Campus Samambaia (Campus II) Rodovia Goiania/Nova Veneza, Km 0 CEP 74690-900, Goiania, Brasil. Contact information at EDIRC.
Bibliographic data for series maintained by Sandro E. Monsueto ().