Operational monetary policy rules are characterized by a parsimonious specification and are therefore prone to specification error when estimated on real data. I devise a policy rule estimation procedure, which is robust to marginal misspecification, and study the effects of specification error in least squares. I find the robust evidence of upward bias in policy inertia in least squares applied to most commonly used Taylor type rule. In effect, least squares learning of a central bank can lead to increasing monetary policy inertia over time.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
file. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by The Center for Economic Research and Graduate Education - Economic Institute, Prague in its series CERGE-EI Working Papers with number
wp315.
Find related papers by JEL classification: E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
This paper has been announced in the following NEP Reports: