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9262 Results

March 9, 2010

An Uncertain Past: Data Revisions and Monetary Policy in Canada

Many important economic variables are subject to revision. This article explains how, when, and why such revisions occur; how revisions to Canadian gross domestic product (GDP) compare with GDP revisions in some other countries; which GDP components are subject to the largest revisions; and how data revisions can affect policy decisions. The author finds that revisions to Canadian GDP tend to be smaller, on average, than those of some other countries, and that among the GDP components, exports and imports are most heavily revised.
March 9, 2010

Bank of Canada Review - Spring 2010

Spring 2010
Discussion of recent research into three ways that oil-futures prices can improve our understanding of current conditions and future prospects in the global market for crude oil; inflation expectations and the conduct of monetary policy: a review of recent evidence and experience; examination of the influence of various forms of economic uncertainty on the performance of different classes of monetary policy rules; how, when, and why such revisions to many important economic variables occur.

Introducing the Bank of Canada's Projection Model for the Global Economy

To complement its existing set of tools to analyze and forecast developments in the global economy, the Bank of Canada recently developed a version of the Global Projection Model (GPM) jointly with staff at the International Monetary Fund.
March 6, 2010

By All Accounts

By All Accounts is the fifth and final book in the Bank's souvenir history series. This volume presents a portrait of the Bank from the perspective of outside observers, showing how Canadians have perceived the performance of their central bank over the decades through the eyes of those who monitor its work on the public's behalf.

Time Variation in Okun's Law: A Canada and U.S. Comparison

Staff Working Paper 2010-7 Kimberly Beaton
This article investigates the stability of Okun's law for Canada and the United States using a time varying parameter approach. Time variation is modeled as driftless random walks and is estimated using the median unbiased estimator approach developed by Stock and Watson (1998).
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