Search

Content Types

Research Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

196 Results

Linking Real Activity and Financial Markets: The Bonds, Equity, and Money (BEAM) Model

Staff Working Paper 2006-42 Céline Gauthier, Fuchun Li
The authors estimate a small monthly macroeconometric model (BEAM, for bonds, equity, and money) of the Canadian economy built around three cointegrating relationships linking financial and real variables over the 1975–2002 period.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Financial stability JEL Code(s): C, C5, E, E4

Launching the NEUQ: The New European Union Quarterly Model, A Small Model of the Euro Area and U.K. Economies

Staff Working Paper 2006-22 Anna Piretti, Charles St-Arnaud
The authors develop a projection model of the euro area and the United Kingdom. The model consists of two country blocks, endogenous to each other via the foreign demand channel.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Economic models JEL Code(s): C, C5, C53, E, E1, E17, E3, E37

The Federal Reserve's Dual Mandate: A Time-Varying Monetary Policy Priority Index for the United States

Staff Working Paper 2006-11 René Lalonde, Nicolas Parent
In the United States, the Federal Reserve has a dual mandate of promoting stable inflation and maximum employment. Since the Fed directly controls only one instrument - the federal funds rate - the authors argue that the Fed's priorities continuously alternate between inflation and economic activity.

Forecasting Core Inflation in Canada: Should We Forecast the Aggregate or the Components?

Staff Working Paper 2005-44 Frédérick Demers, Annie De Champlain
The authors investigate the behaviour of core inflation in Canada to analyze three key issues: (i) homogeneity in the response of various price indexes to demand or real exchange rate shocks relative to the response of aggregate core inflation; (ii) whether using disaggregate data helps to improve the forecast of core inflation; and (iii) whether using monthly data helps to improve quarterly forecasts.
Go To Page