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...

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...

This paper uses Brazilian monthly tax burden time series as an input for a study of its recent dynamic determinants. The estimates shows that tax burden reached 33,4% of GDP in 2014 that is lower than 33,6% of 2005 and without trend of growth. In addition, it presents an analysis of tax policy...

This paper uses Brazilian monthly tax burden time series as an input for a study of its recent dynamic determinants. The estimates shows that tax burden reached 33,4% of GDP in 2014 that is lower than 33,6% of 2005 and without trend of growth. In addition, it presents an analysis of tax policy...

This article investigates, by means of the model developed for Young (1990), if the direct, indirect and total tributes in Brazil respect the principle of the equal sacrifice. In all the scenes originated in the present analysis, as much the observed indirect tributes how much the total tributes...