Analysis of the determinants of labor productivity in Brazilian regions in the periods 2012 and 2019

Abstract

This paper aims to identify the determinants of labor productivity in the Brazilian regions for 2012-2019. With data from PNADC (National Continuous Household Survey), a panel fixed-effect analysis and a quantile regression were used to detect the determinants of productivity. The results indicate that in all regions the majority of the population is male and that the service sector employs the most workers. Regarding the income variable, the Northeast region has the lowest remuneration, and the Midwest region stands out with the highest. It can be inferred that the variables education, public and formal, are statistically significant and have a positive impact on productivity in all Brazilian regions for 2012 and 2019. Through the quantile regression estimated for Brazil, it was found that for the year 2012, productivity can be explained for the lower quantiles, while in 2019, the significance of the data had an impact on the larger quantiles.