The public policies on mass transit and other economic policies have been unable to avoid increasing mass transit costs and urban bus fares, which places a burden on a majority of the population depending on public transit. This study analyzes the variations in urban bus fares and households...

The text presents estimate of the tax incidence, especially the indirect one, on the income of families according to data from the last Consumer Expenditure Survey (POF) of 2017-2018. For this purpose, the values of the taxes on income and equity calculated in the survey are used, as well as...

This article presents a linear econometric model with variable coefficients for the analysis of the quarterly dynamics of the Brazilian gross tax burden in the 1995-2008 years.The choice of this particular model was motivated by the constant changes made in the Brazilian tax system during these...

The aim of this article is to estimate a Bayesian factorial dynamic model for the analysis and forecasting of the Brazilian tax burden (BTB) using monthly data from 1996 to 2007. Twenty taxes are responsible for about 80% of the BTB, each of which with a distinct seasonal pattern The factorial...

This text examines the distributive effects of fiscal policy in Brazil by considering it according to gender and race criteria. Based on the Brazilian Consumer Expenditure Survey (POF) of 2017/2018, we assess how cash transfers, indirect taxes and direct taxes impact income by strata among four...

This paper seeks to estimate the distributive impact of the taxes and other fiscal contributions that finance social security in Brazil. Making a certain number of strong hypotheses relative to the fiscal incidence of social security financing, we compute a measure of incidence that aggregates...

It is almost a consensus that the ongoing transformations in the Brazilian demographic structure press for urgent changes in the current social security rules as the objective of guaranteeing the actuarial balance of the national pension system. It is therefore important to predict the impact of...

This study aimed to the application of forecasts combination of model to predict tax revenues in Brazil. Here we combine the predictions obtained from three models: dynamic factor model (DFM), seasonal autoregressive integrated moving average (Sarima) and model of Holt-Winters smoothing. We...

The objective of this study is to perform an econometric modeling exercise of the individual series of taxes aiming to obtain income elasticity and the future projection for each tax. For this, we apply dynamic linear models (MLD) and dynamic factor (MFD), both estimated based on the Bayesian...