We examine how inequality measures, data sources, income brackets, ranking variables of tabulated tax data, underestimation of incomes in the bottom of the distribution and the methodology used to correct inequality affects the trends of inequality in total income among adults in Brazil between...

We consider a new method to estimate causal effects when a treated unit suffers a shock or an intervention, such as a policy change, but there is not a readily available control group or counterfactual. We propose a two-step approach where in the first stage an artificial counterfactual is...

Using retrospective simulations, we examine whether educational expansions in the past could have reduced earnings inequality and income poverty in Brazil. We use data from three censuses and 35 national household surveys (PNAD). The simulations indicate that there are important limitations to...