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Income Inequality In Brazil

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2. MEASURING CO-MOVEMENTS OF INCOME IN BRAZIL AND THE ROLE OF MACROECONOMICS
In this paper we investigate the dynamics of income inequality among Brazilian states by applying the Bayesian Dynamic Factor Model described in (OTROK; WHITEMAN, 1998) and (KOSE; OTROK; WHITEMAN, 2003) to Gini indexes over the 1976-2014 period. Our results indicate that the common factor accounts for 48 percent of the Gini index co-movements; the richest states are more exposed. We found that macroeconomic stability is negatively correlated to the common factor, meaning that stability is inequality-decreasing. The deciles analysis suggests that inequality is related to lack of business cycles synchronization.
Keywords: business cycles; bayesian analysis; income inequality …show more content…
According to (FERREIRA; LEITE; LITCHFIELD, 2006), during 1980’s Brazil’s inequality was the second highest in the world, narrowly behind Sierra Leone. Besides the great poverty and inequality reduction experienced in the more recent years, Brazil is still on the rank of the most unequal countries .
Furthermore, the macroeconomic performance was very poor between 1980’s and in the early 1990’s. The average growth rate of GDP dropped from a Chinese performance of 8% per year in the 1970’s to an average of 3% per year in the 1980’s and 1990’s. At the same time, the Brazilian annual inflation rate became the most pressing economic problem and the unsuccessful tries of stabilization seem to accelerate the inflationary process . Only in 1994, with the implement of the Real Plan, the Brazilian inflation rates reduced from hyperinflation levels, but it is still high compared to developed world …show more content…
In section 2.2 we present the Bayesian Dynamic Factor Model. In section 2.3, we discuss the first empirical results. Section 2.4 present the subsample analysis. Section 2.5 show the link between the common factor and macroeconomic variables. In Section 2.6, we proceed the deciles analysis. Section 2.7 concludes.

2.3 EMPIRICAL RESULTS
Our empirical analysis uses annual Gini index from 24 Brazilian states and the Federal District. The Gini index measures the inequality of per capita income among individuals. The data are taken from the Institute for Applied Economic Research (Ipea) database and cover the 1976-2014 period.
The summary statistics in Table 1 show that Brazilian all states have experienced high-income inequality during 1976-2014 period. The states at North and Northeast present the largest income inequality and states at South, the lowest, followed by Southeast and Midwest regions. The Distrito Federal is the most unequal and also the richest unit, and finally, Santa Catarina at South, is the state where income is more equally distributed.

It was estimated a model of 3 dynamic factors: national, regional and idiosyncratic. Gini index series were grouped according to Brazilian Institute of Geography and Statistics (IBGE) classification for the composition of regions

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