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428 Results

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.

The 1975–78 Anti-Inflation Program in Retrospect

Staff Working Paper 2005-43 John Sargent
The author provides an overview of the 1975–78 Anti-Inflation Program (AIP), in a background document prepared for a seminar organized by the Bank of Canada to mark the AIP's 30th anniversary.

MUSE: The Bank of Canada's New Projection Model of the U.S. Economy

Technical Report No. 96 Marc-André Gosselin, René Lalonde
The analysis and forecasting of developments in the U.S. economy have always played a critical role in the formulation of Canadian economic and financial policy. Thus, the Bank places considerable importance on generating internal forecasts of U.S. economic activity as an input to the Canadian projection.
Content Type(s): Staff research, Technical reports Topic(s): Business fluctuations and cycles, Economic models JEL Code(s): C, C5, C53, E, E1, E17, E2, E27, E3, E37, F, F1, F17

Does Financial Structure Matter for the Information Content of Financial Indicators?

Staff Working Paper 2005-33 Ramdane Djoudad, Jack Selody, Carolyn A. Wilkins
Of particular concern to monetary policy-makers is the considerable unreliability of financial variables for predicting GDP growth and inflation.

Intertemporal Substitution in Macroeconomics: Evidence from a Two-Dimensional Labour Supply Model with Money

Staff Working Paper 2005-30 Ali Dib, Louis Phaneuf
The hypothesis of intertemporal substitution in labour supply has a history of empirical failure when confronted with aggregate time-series data.
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