Welfare-based optimal monetary policy with unemployment and sticky prices: a linear-quadratic framework
Federico Ravenna and
Carl Walsh
No 2009-15, Working Paper Series from Federal Reserve Bank of San Francisco
Abstract:
In this paper, we derive a linear-quadratic model for monetary policy analysis that is consistent with sticky prices and search and matching frictions in the labor market. We show that the second-order approximation to the welfare of the representative agent depends on inflation and \"gaps\" that involve current and lagged unemployment. Our approximation makes explicit how the costs of fluctuations are generated by the presence of search frictions. These costs are distinct from the costs associated with relative price dispersion and fluctuations in consumption that appear in standard new Keynesian models. We use the model to analyze optimal monetary policy under commitment and discretion and to show that the structural characteristics of the labor market have important implications for optimal policy.
Keywords: Monetary policy; Econometric models (search for similar items in EconPapers)
Date: 2009
New Economics Papers: this item is included in nep-cba, nep-dge, nep-mac and nep-mon
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.frbsf.org/publications/economics/papers/2009/wp09-15bk.pdf (application/pdf)
Related works:
Journal Article: Welfare-Based Optimal Monetary Policy with Unemployment and Sticky Prices: A Linear-Quadratic Framework (2011)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:fip:fedfwp:2009-15
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Working Paper Series from Federal Reserve Bank of San Francisco Contact information at EDIRC.
Bibliographic data for series maintained by Federal Reserve Bank of San Francisco Research Library ().