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Title: Bayesian estimation of a DSGE model for the Portuguese economy
Author: Almeida, Vanda Regina Guimarães de
Advisor: Pinheiro, Maximiano
Keywords: DSGE
econometric modelling
small-open economy
Defense Date: Jun-2009
Publisher: Instituto Superior de Economia e Gestão
Citation: Almeida, Vanda Regina Guimarães de. 2009. "Bayesian estimation of a DSGE model for the Portuguese economy". Dissertação de Mestrado. Universidade Técnica de Lisboa. Instituto Superior de Economia e Gestão
Abstract: In this paper, a New-Keynesian DSGE model for a small open economy integrated in a monetary union is developed and estimated for the Portuguese economy, using a Bayesian approach. Estimates for some key structural parameters are obtained and a set of exercises exploring the model's statistical and economic properties are performed. A survey on the main events and literature associated with DSGE models that motivated this study is also provided, as well as a comprehensive discussion of the Bayesian estimation and model vali¬dation techniques applied. The model features five types of agents namely households, firms, aggregators, the rest of the world and the government, and includes a number of shocks and frictions, which enable a closer matching of the short-run properties of the data and a more realistic short-term adjustment to shocks. It is assumed from the outset that mone¬tary policy is defined by the union's central bank and that the domestic economy's size is negligible, relative to the union's one, and therefore its specific economic fluctuations have no influence on the union's macroeconomic aggregates and monetary policy. An endogenous risk-premium is considered, allowing for deviations of the domestic economy's interest rate from the union's one. Furthermore it is assumed that all trade and financial flows are per¬formed with countries belonging to the union, which implies that the nominal exchange rate is irrevocably set to unity.
Description: Mestrado em Econometria Aplicada e Previsão
Appears in Collections:BISEG - Dissertações de Mestrado / Master Thesis
DM - Dissertações de Mestrado / Master Thesis

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