Construction and Bayesian Estimation of DSGE Models for the EURO Area | A statistical framework

Ernest Pytlarczyk

ISBN 10: 3639416813 / ISBN 13: 9783639416817

Published by AV Akademikerverlag, 2012

About this Item

Construction and Bayesian Estimation of DSGE Models for the EURO Area | A statistical framework | Ernest Pytlarczyk | Taschenbuch | 256 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639416817 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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Bibliographic Details

• Title: Construction and Bayesian Estimation of DSGE Models for the EURO Area | A statistical framework
• Publisher: AV Akademikerverlag
• Publication Date: 2012
• Language: English
• ISBN 10: 3639416813
• ISBN 13: 9783639416817
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 16D millimeters 220 millimeters width by 150 millimeters height by 16 millimeters depth
• Weight: 399 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Revision with unchanged content. Dynamic Stochastic General Equilibrium (DSGE) models have become a standard tool in various fields of economics. This type of models has a superior theoretical foundation when compared to the Keynesian models which are traditionally used for policy analysis and forecasting. Although a lot has been done to improve the empirical properties of DSGE models, there is still a need for further research in this field. In this book, the author first considers a closed economy general equilibrium framework to empirically validate the alternative mechanisms for introducing nominal rigidities. As the comparison is done in the context of the Euro area aggregate data, the results provide guidance to researchers dealing with estimation of Euro area DSGE models in general. In the second part of the book, a coherent economic and statistical framework that approximates the structure of the EMU and explicitly accounts for the historical monetary regime change is presented. In such a framework the disaggregate information on the Euro area can be utilized, so that one can explain the area-wide aggregates, and also examine the cross-region linkages.

About the Author

Born in 1978 in Garwolin, Poland. After obtaining MSc in Quantitative Methods from Warsaw School of Economics was an analyst with BRE Bank and Citigroup. PhD obtained from the University of Hamburg in 2007 (doctoral scholarship granted by the DAAD). Currently, macro and financial markets analyst associated with BRE Bank.