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  • 标题:(Un)naturally low? Sequential Monte Carlo tracking of the US natural interest rate
  • 本地全文:下载
  • 作者:Marco J. Lombardi ; Silvia Sgherri
  • 期刊名称:Euro Area Balance of Payments and International Investment Position Statistics
  • 印刷版ISSN:1830-3420
  • 电子版ISSN:1830-3439
  • 出版年度:2007
  • 卷号:1
  • 出版社:European Central Bank
  • 摘要:Following the 2000 stockmarket crash, have US interest rates been held "too low" in relation to their natural level? Most likely, yes. Using a structural neo-Keynesian model, this paper attempts a real-time evaluation of the US monetary policy stance while ensuring consistency between the speci…cation of price adjustments and the evolution of the econ- omy under ‡exible prices. To do this, the model’s likelihood function is evaluated using a Sequential Monte Carlo algorithm providing inference about the time-varying distribution of structural parameters and unobservable, nonstationary state variables. Tracking down the evolution of underlying stochastic processes in real time is found crucial (i) to explain postwar Fed’s policy and (ii) to replicate salient features of the data.
  • 关键词:Natural Interest Rate; DSGE Models; Bayesian Analysis; Particle Filters
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