G2TT
来源类型Discussion paper
规范类型论文
来源IDDP6100
DP6100 The Political Origin of Pension Funding
Enrico Perotti; Armin Schwienbacher
发表日期2007-02-14
出版年2007
语种英语
摘要Using a Bayesian likelihood approach, we estimate a dynamic stochastic general equilibrium model for the US economy using seven macro-economic time series. The model incorporates many types of real and nominal frictions and seven types of structural shocks. We show that this model is able to compete with Bayesian Vector Autoregression models in out-of-sample prediction. We investigate the relative empirical importance of the various frictions. Finally, using the estimated model we address a number of key issues in business cycle analysis: What are the sources of business cycle fluctuations? Can the model explain the cross-correlation between output and inflation? What are the effects of productivity on hours worked? What are the sources of the ?Great Moderation??
主题International Macroeconomics
关键词Business cycle Dsge models monetary policy
URLhttps://cepr.org/publications/dp6100
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/534939
推荐引用方式
GB/T 7714
Enrico Perotti,Armin Schwienbacher. DP6100 The Political Origin of Pension Funding. 2007.
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