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(Un)naturally low? Sequential Monte Carlo tracking of the US natural interest rate

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  • Lombardi, Marco J.
  • Sgherri, Silvia

Abstract

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 specification of price adjustments and the evolution of the econ- omy under flexible 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. JEL Classification: E43, C11, C15

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Bibliographic Info

Paper provided by European Central Bank in its series Working Paper Series with number 0794.

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Date of creation: Aug 2007
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Handle: RePEc:ecb:ecbwps:20070794

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Keywords: Bayesian Analysis; DSGE Models; Natural Interest Rate; Particle Filters;

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Cited by:
  1. Gerlach, Stefan & Moretti, Laura, 2011. "Monetary policy and TIPS yields before the crisis," CFS Working Paper Series 2011/22, Center for Financial Studies (CFS).
  2. Andreas Hoffmann, 2010. "An Overinvestment Cycle In Central And Eastern Europe?," Metroeconomica, Wiley Blackwell, vol. 61(4), pages 711-734, November.
  3. Reinhart, Carmen & Felton, Andrew, 2008. "The First Global Financial Crisis of the 21st Century," MPRA Paper 11862, University Library of Munich, Germany.
  4. Ronny Mazzocchi, 2013. "Monetary Policy when the NAIRI is unknown: The Fed and the Great Deviation," DEM Discussion Papers 2013/16, Department of Economics and Management.

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