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 article investigates the effects of fiscal policy shock in the Brazilian economy using quarterly data during the period between January/1995 and December/2007. We follow the agnostic procedure suggested by Mountford and Uhlig (2005) to verify separately the impact of the unexpected positive...

The goal of this article is to model the desagregated series of taxes in Brazil. We use monthly data of a sample of taxes in charge for 80% of the Brazilian gross tax burden in the 1995-2010 years. For estimate the model we employ a Dynamic Linear Model (DLM) with variable parameter (WEST e...

This paper aims to report the construction process of Environmental Economic Accounts for Water in Brazil and its institutional articulation between national and international public and private institutions, who participated in this construction effort. It also presents the current stage of...

This study aims to analyze the distributional effects of carbon pricing in Brazil. The subject has gained importance with initiatives such as the PMR Brazil Project and RenovaBio, but discussions have been limited to the possible loss of competitiveness of national products. Thus, scenarios...

The goal of this paper is to identity the sectors with the greatest potential to contribute to reducing electricity consumption. To this end, we apply the analysis consumption multiplier and the structural decomposition on the hybrid Input-Output Matrix between which combines data from the...

This study has as main objective to investigate if the energy markets liberalisation, in particular natural gas and electricity, contribute to the energetic transition, led by climate change mitigation policies. More specifically, this study attempts to classify the efficiency degree associated...

Wind power generation is essential to reduce the use of fossil resources and, consequently, the emission of greenhouse gases (GHG). Currently, the National Interconnected System (SIN) has about 9971 wind turbines in operation, the sixth largest network in the world ranking, and 80% of Brazilian...

This work presents a Bayesian approach for inferring the capacity factor of an offshore wind farm. The application of the proposed methodology is illustrated through a case study of a wind power offshore project located on the northern coast of the Rio de Janeiro State.