In this article we investigate the capacity of antecedent variables, among them admissions for aggression, in the prediction of the number of homicides in Brazil. The main objective is to eliminate a gap regarding the large time lag in the dissemination of information about these deaths in the...

In this article we investigate the capacity of antecedent variables, among them admissions for aggression, in the prediction of the number of homicides in Brazil. The main objective is to eliminate a gap regarding the large time lag in the dissemination of information about these deaths in the...

The evaluation of forecasts performance of market expectations about the Brazilian inflation rate (Focus survey) is important given the prominent role of these expectations in the conduction of monetary policy in Brazil. Lima e Céspedes (2006) showed that, in the period 2000.1 2005.4, several...

In Brazil, it has been difficult to elaborate governmental planning surpassing the four-year spectrum from the Pluriannual Plans. Despite the fact of long-term planning attracting a wide range of sectors, it still occupies a small space in both political and State agendas. Hence, the present...

In Brazil, it has been difficult to elaborate governmental planning surpassing the four-year spectrum from the Pluriannual Plans. Despite the fact of long-term planning attracting a wide range of sectors, it still occupies a small space in both political and bureaucratic agendas. Hence, the...

The vector autoregressive and structural vector autoregressive (VAR/SVAR) models are the cornerstone of the contemporaneous empirical macroeconomic research, in particular for measuring the impact of fiscal policy shocks. They may be employed as atheoretical models, as well as a mean to support...

So far, there are very few papers concerning the problems of non causality and non-fundamentalness in fiscal studies. This is even truer for Brazil. Non causality and non fundamentalness are econometric problems that are specially relevant in fiscal studies, as they are relate to fiscal...

The forecasting of government revenues is extremely important for an adequate budget execution, since a good accuracy in the estimation allows the stipulation of an expenditure level that meets the demands of the population. Using data released by the National Council of Treasury Policy, the...

In this Discussion Paper, we test forecasting models for inflation and economic activity with macroeconomic data and economic surveys between January 2002 and October 2019 on a monthly basis. Due to the high dimension nature of the set of explanatory variables, we use machine learning (ML)...