Using a projection method to analyze inflation bias in a micro-founded model
Jinill Kim () and
Tack Yun ()
No 2010-18, Finance and Economics Discussion Series from Board of Governors of the Federal Reserve System (US)
Since Kydland and Prescott (1977) and Barro and Gordon (1983), most studies of the problem of the inflation bias associated with discretionary monetary policy have assumed a quadratic loss function. We depart from the conventional linear-quadratic approach to the problem in favor of a projection method approach. We investigate the size of the inflation bias that arises in a microfounded nonlinear environment with Calvo price setting. The inflation bias is found to lie between 1% and 6% for a reasonable range of parameter values, when the bias is defined as the steady-state deviation of the discretionary inflation rate from the optimal inflation rate under commitment.
Keywords: Inflation (Finance); Econometric models (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cba, nep-mac and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7) Track citations by RSS feed
Downloads: (external link)
Journal Article: Using a projection method to analyze inflation bias in a micro-founded model (2010)
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:fip:fedgfe:2010-18
Ordering information: This working paper can be ordered from
http://www.federalre ... /feds/fedsorder.html
Access Statistics for this paper
More papers in Finance and Economics Discussion Series from Board of Governors of the Federal Reserve System (US) Contact information at EDIRC.
Bibliographic data for series maintained by Ryan Wolfslayer ().