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...