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392 Results

What Consistent Responses on Future Inflation by Consumers Can Reveal

Staff discussion paper 2023-7 Sarah Miller, Patrick Sabourin
We analyze factors that may explain consistent answers to questions about inflation expectations in the Canadian Survey of Consumer Expectations. We also compare the inflation forecasts of consumers with consistent responses with those of professional forecasters.
June 12, 2014

Financial System Review - June 2014

The Reports section of the Financial System Review examines selected issues of relevance to the Canadian and global financial systems. The June 2014 issue features three reports on financial system initiatives: making financial benchmarks more robust; implementing the stronger Basel III capital and liquidity framework for banks; and using stress tests to assess financial system risks.

The BoC-BoE Sovereign Default Database: What’s New in 2019?

Staff working paper 2019-39 David Beers, Patrisha de Leon-Manlagnit
Until recently, few efforts have been made to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada (BoC) developed a comprehensive database of sovereign defaults that is posted on its website and updated in partnership with the Bank of England (BoE).

The Consumer Value Proposition for a Hypothetical Digital Canadian Dollar

Staff discussion paper 2024-16 Martine Warren, Bill Laur, Ted Garanzotis, Sebastian Hernandez
We explore the consumer value proposition of a hypothetical Digital Canadian Dollar, adoption considerations and the users who would benefit most from this potential new payment method. We employ a design-thinking consultation methodology, allowing participants to interact with research prototypes of increasing complexity to reveal user preferences, constraints and adoption influences.

The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Calibration for Single-Location Retailers

Technical report No. 109 Heng Chen, Rallye Shen
Calibrated weights are created to (a) reduce the nonresponse bias; (b) reduce the coverage error; and (c) make the weighted estimates from the sample consistent with the target population in terms of certain key variables.
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