Inflation targeting and the need for a new central banking framework
Journal of Post Keynesian Economics, 2017, vol. 40, issue 4, 512-539
This article critically analyzes inflation targeting (IT) both theoretically and empirically. IT came into prominence in the 1990s and 1 central bank after another adopted this regime in the 1990s and 2000s. Proponents of IT mainly argued that IT regime was successful on the grounds that it resulted in lower inflation rates and hence better economic performances. However, inflation rates in the world were in a downward trend from the 1980s well into the 2000s, and both IT and non-IT regimes managed to decrease their inflation rates. In addition, focusing too much on price stability through IT paved the way for permanently higher than necessary interest rates and disinflationary “tight” monetary policy periods when inflation rate was above an arbitrarily targeted level. Tight monetary policy can and do affect the real economy negatively and overemphasizing price stability may hurt the economy in terms of lower potential output, decreasing investment and more unequal income distribution. Post Keynesians offer valuable alternatives within the framework of parking-it approach to the existing monetary policy paradigm. Our main conclusion is that central banks should set the policy interest rate as low as possible and keep it there, in line with Keynesian “cheap money” policy.
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:mes:postke:v:40:y:2017:i:4:p:512-539
Ordering information: This journal article can be ordered from
Access Statistics for this article
More articles in Journal of Post Keynesian Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().