Search

Content Types

Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

9183 Results

The Bank of Canada's New Quarterly Projection Model, Part 4. A Semi-Structural Method to Estimate Potential Output: Combining Economic Theory with a Time-Series Filter

Technical Report No. 77 Leo Butler
The level of potential output plays a central role in the Bank of Canada's new Quarterly Projection Model (QPM). This report, the fourth in a series documenting QPM, describes a general method to measure potential output, as well as its implementation in the QPM system.
Content Type(s): Staff research, Technical reports Topic(s): Economic models JEL Code(s): C, C5, C51, E, E2, E23

The Bank of Canada's New Quarterly Projection Model, Part 3. The Dynamic Model: QPM

The Bank of Canada's new Quarterly Projection Model, QPM, combines the short-term dynamic properties necessary to support regular economic projections with the consistent behavioural structure necessary for policy analysis.
Content Type(s): Staff research, Technical reports Topic(s): Economic models JEL Code(s): C, C5, C53, E, E1, E17
May 27, 2005

70 Years of Central Banking in Canada

Remarks David Dodge Canadian Economics Association Hamilton, Ontario
The Bank opened its doors on 11 March 1935, at the height of the Great Depression, and immediately faced enormous challenges. In meeting those challenges, the new Bank of Canada drew on the experience of other, established central banks. It received valuable guidance in functions such as the issuance of bank notes, managing foreign exchange reserves, and promoting financial stability.

Computing the Accuracy of Complex Non-Random Sampling Methods: The Case of the Bank of Canada's Business Outlook Survey

Staff Working Paper 2009-10 Daniel de Munnik, David Dupuis, Mark Illing
A number of central banks publish their own business conditions survey based on non-random sampling methods. The results of these surveys influence monetary policy decisions and thus affect expectations in financial markets. To date, however, no one has computed the statistical accuracy of these surveys because their respective non-random sampling method renders this assessment non-trivial.
Go To Page