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2121 Results

Core inflation over the COVID-19 pandemic

Staff analytical note 2022-17 Mikael Khan, Elyse Sullivan
We assess the usefulness of various measures of core inflation over the COVID-19 pandemic. We find that Cpi-trim and CPI-median provided the best signal of underlying inflation. The favourable performance of these measures stems from their lack of reliance on historical experience, an especially valuable feature in unprecedented times.
July 26, 2004

Bank of Canada supports the new International Journal of Central Banking

The Bank of Canada today announced plans to support the development of a new publication focused on central bank theory and practice and issued a call for research papers. The International Journal of Central Banking (IJCB) will be a joint project of the Bank for International Settlements (BIS), the European Central Bank, and each of the Group of Ten (G-10) central banks, with participation expected from other central banks.
Content Type(s): Press, Press releases
March 28, 2014

Annual Report 2013

Annual Report cover 2013
2013 proved to be a challenging year for the Bank of Canada. Inflation continued to drift below target, and the economy failed to move onto a more sustainable track. The 2013 Annual Report highlights key achievements over the year, describes the Bank’s corporate governance, and presents the financial statements in conjunction with Management’s Discussion and Analysis.
Content Type(s): Publications, Annual Report

Canada’s Beveridge curve and the outlook for the labour market

Staff analytical note 2022-18 Alexander Lam
Canada’s labour market is tight but beginning to ease. Unemployment will likely rise in turn, but the economy can avoid a recessionary surge given current conditions. Higher unemployment would nonetheless be material, especially for those directly impacted.

Calculating Effective Degrees of Freedom for Forecast Combinations and Ensemble Models

Staff discussion paper 2022-19 James Younker
This paper derives a calculation for the effective degrees of freedom of a forecast combination under a set of general conditions for linear models. Computing effective degrees of freedom shows that the complexity cost of a forecast combination is driven by the parameters in the weighting scheme and the weighted average of parameters in the auxiliary models.
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