Construction and Bayesian Estimation of Dsge Models for the Euro Area- A Statistical Framework 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Construction and Bayesian Estimation of Dsge Models for the Euro Area- A Statistical Framework

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Pytlarczyk, Ernest 作者
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260 页数
$ 100.57 价格
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9783836424806 图书编码

Construction and Bayesian Estimation of Dsge Models for the Euro Area- A Statistical Framework 在线电子书 图书标签: 财经读物/Finan.Readings  宏观经济   


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发表于2024-06-26


Construction and Bayesian Estimation of Dsge Models for the Euro Area- A Statistical Framework 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Construction and Bayesian Estimation of Dsge Models for the Euro Area- A Statistical Framework 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Construction and Bayesian Estimation of Dsge Models for the Euro Area- A Statistical Framework 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Construction and Bayesian Estimation of Dsge Models for the Euro Area- A Statistical Framework 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Construction and Bayesian Estimation of Dsge Models for the Euro Area- A Statistical Framework 在线电子书 图书描述

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.

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