Not Available for Download

Occupational Mobility and Distribution of Earnings in
Metropolitan Brazil: 1991-96 (Mobilidade Ocupacional E Rendimentos No Brasil Metropolitano: 1991/96)

Posted: 29 Aug 2001  

Ana Maria H.C. Oliveira

Federal University of Minas Gerais (UFMG)

Ana Flavia Machado

Federal University of Minas Gerais (UFMG)

Abstract

In Brazil, the nineties are marked by profound changes in the patterns of employment and earnings. Our main purpose is to analyze the extent of occupational mobility in Brazil, during this period, with special attention to differences between male and female profiles. We investigate workers mobility among occupational categories classified by skill level and characterize transitions by race, age and education. We apply a logistic model to estimate transition probabilities of upward and downward mobility by gender, between 1991 and 1996, using panel data from IBGE's Monthly Employment Survey (PME). Our discussion includes a descriptive analysis of earnings profiles related to occupational transitions, based on estimated earning equations. Our results support the hypothesis that the Brazilian labour market absorbs differently men and women equally classified by skill level, and indicate higher probabilities of upward occupational mobility for men.

JEL Classification: J31, J39

Suggested Citation

Oliveira, Ana Maria H.C. and Machado, Ana Flavia, Occupational Mobility and Distribution of Earnings in Metropolitan Brazil: 1991-96 (Mobilidade Ocupacional E Rendimentos No Brasil Metropolitano: 1991/96). Pesquisa e Planejamento Economico, Vol. 30, No. 1, April 2000. Available at SSRN: https://ssrn.com/abstract=267368

Ana Maria Hermeto Camilo de Oliveira

Federal University of Minas Gerais (UFMG) ( email )

Av. Antonio Carlos, 6627
MG30170-120 Belo Horizonte, 31270-901
Brazil
+55 31 279-9097 (Phone)
+55 31 201-3657 (Fax)

Ana Flavia Machado (Contact Author)

Federal University of Minas Gerais (UFMG) ( email )

Av. Antonio Carlos, 6627
MG30170-120 Belo Horizonte, 31270-901
Brazil

Paper statistics

Abstract Views
831