Practical Model-Based Monetary Policy Analysis: A How-To Guide
Douglas Laxton,
Andrew Berg () and
Philippe Karam
No 2006/081, IMF Working Papers from International Monetary Fund
Abstract:
This paper provides a how-to guide to model-based forecasting and monetary policy analysis. It describes a simple structural model, along the lines of those in use in a number of central banks. This workhorse model consists of an aggregate demand (or IS) curve, a price-setting (or Phillips) curve, a version of the uncovered interest parity condition, and a monetary policy reaction function. The paper discusses how to parameterize the model and use it for forecasting and policy analysis, illustrating with an application to Canada. It also introduces a set of useful software tools for conducting a model-consistent forecast.
Keywords: WP; headline inflation; transmission mechanism; demand shock; inflation rate; Monetary Policy; Forecasting and Simulation; Model construction and estimation; computational techniques; inflation equation; reaction function; forward-looking inflation term; expectations effect; excess demand; inflation target path; path Canada; output gap equation; Inflation; Output gap; Oil prices; Real exchange rates; Exchange rates; Global (search for similar items in EconPapers)
Pages: 69
Date: 2006-03-01
References: View complete reference list from CitEc
Citations: View citations in EconPapers (57)
Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=18842 (application/pdf)
Related works:
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:imf:imfwpa:2006/081
Ordering information: This working paper can be ordered from
http://www.imf.org/external/pubs/pubs/ord_info.htm
Access Statistics for this paper
More papers in IMF Working Papers from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC.
Bibliographic data for series maintained by Akshay Modi ().