Dynamic and stochastic general equilibrium (DSGE) models;
Monetary policy;
Exchange rate;
Bayesian methods;
Simulation;
MODEL;
GROWTH;
RULES;
D O I:
10.1016/j.econmod.2009.09.008
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
The literature on monetary economy has aroused growing interest in macroeconomics. Due to computational advancements, models have become increasingly more complex and accurate, allowing for an in-depth analysis of the relationships between real economic variables and nominal variables. Therefore, using a dynamic stochastic general equilibrium (DSGE) model, based on Gali and Monacelli (2005), we propose and estimate a model for the Brazilian economy by employing Bayesian methods so as to assess whether the Central Bank of Brazil takes exchange rate fluctuations into account in the conduct of monetary policy. The most striking result of the present study is that the Central Bank of Brazil does not directly change the interest rate path due to exchange rate movements. A simulation exercise is also used. Our conclusion is that the economy quickly accommodates shocks induced separately on the exchange rate, on the terms of trade, interest rate, and global inflation. (C) 2009 Elsevier B.V. All rights reserved.
机构:
Department of Economics, University of Brasília (UnB), Brasilia
University of Brasilia - Campus Universitario Darcy Ribeiro - ICC - Ala Norte, 70919-970 Brasília, DFDepartment of Economics, University of Brasília (UnB), Brasilia
Cuiabano S.M.
Divino J.A.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Economics, Catholic University of Brasilia (UCB), BrasiliaDepartment of Economics, University of Brasília (UnB), Brasilia
机构:
Univ Cape Town, Sch Econ, Middle Campus, ZA-7700 Rondebosch, Cape Town, South AfricaUniv Cape Town, Sch Econ, Middle Campus, ZA-7700 Rondebosch, Cape Town, South Africa
Mateane, Lebogang
Proano, Christian R.
论文数: 0引用数: 0
h-index: 0
机构:
Otto Friedrich Univ Bamberg, Feldkirchenstr 21, D-96045 Bamberg, Germany
Univ San Francisco Quito, Quito, EcuadorUniv Cape Town, Sch Econ, Middle Campus, ZA-7700 Rondebosch, Cape Town, South Africa