Measuring the effects of monetary policy
Subtitle: a factor-augmented vector autoregressive (FAVAR) approach
By: Ben S. Bernanke, Jean Boivin, Piotr Eliasz.
Contributors: Boivin, Jean.; Eliasz, Piotr.; National Bureau of Economic Research.
Series: NBER working paper series ;; working paper 10220; Working paper series (National Bureau of Economic Research : Online) ;; working paper no. 10220.
Publisher: National Bureau of Economic Research
Published: 2004
Place of publication: Cambridge, MA
Language: eng
Format: Electronic resource
Subjects: Monetary policy -- Econometric models.
Description: "Structural vector autoregressions (VARs) are widely used to trace out the effect of monetary policy innovations on the economy.  However, the sparse information sets typically used in these empirical models lead to at least two potential problems with the results.  First, to the extent that central banks and the private sector have information not reflected in the VAR, the measurement of policy innovations is likely to be contaminated.  A second problem is that impulse responses can be observed only for the included variables, which generally constitute only a small subset of the variables that the researcher and policymaker care about.  In this paper we investigate one potential solution to this limited information problem, which combines the standard structural VAR analysis with recent developments in factor analysis for large data sets.  We find that the information that our factor-augmented VAR (FAVAR) methodology exploits is indeed important to properly identify the monetary transmission mechanism.  Overall, our results provide a comprehensive and coherent picture of the effect of monetary policy on the economy"--National Bureau of Economic Research web site.
Notes: Includes bibliographical references.
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