EconPapers    
Economics at your fingertips  
 

Public-Private Wage Differential and Economic Cycle in Brazil

Fernando Fabian de Freitas Martins and Daniela Verzola Vaz

Brazilian Review of Econometrics, 2024, vol. 42, issue 2

Abstract: This paper analyzes the wage premium paid to Brazilian state government employees compared to private sector ones. This differential is estimated with Mincerian equations using 1995 to 2015 annual data from the National Household Sample Survey (PNAD/IBGE) and corrected for selection bias through a bivariate probit model for the probabilities of being employed and being a public employee. Once the public-private wage differentials were obtained for each year and state government, they were adopted asthe dependent variable in a panel data approach to test the hypothesis of a countercyclical behavior. The covariates used are the unemployment rate, public finance indicators, the percentage of public employees in total employment, industry share in GDP, and variables that capture electoral cycles. Results show that the wage differential has a countercyclical behavior associated with rigid hiring and dismissal rules in the public sector. However, the relationship between the wage differential and the unemployment rate was found to be nonlinear, and for high levels of unemployment, the earnings of public employees are also affected.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://periodicos.fgv.br/bre/article/view/85487 (text/html)

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:sbe:breart:v:42:y:2024:i:2:a:85487

Access Statistics for this article

Brazilian Review of Econometrics is currently edited by Daniel Monte

More articles in Brazilian Review of Econometrics from Sociedade Brasileira de Econometria - SBE Contact information at EDIRC.
Bibliographic data for series maintained by Núcleo de Computação da FGV EPGE ().

 
Page updated 2025-03-20
Handle: RePEc:sbe:breart:v:42:y:2024:i:2:a:85487