Christopher (Chris) is a Survey Methodologist. He joined the Bank in 2012. In his role, Christopher contributes to the design, implementation, and analysis of a range of surveys that measure the use of cash and alternative methods of payment. He holds an MA in Economics from Western University and an MSc in Mathematics from McMaster University.
Staff analytical notes
The results of our 2017 Bitcoin Omnibus Survey (December 12 to 15, 2017) when compared with those from 2016 show that Bitcoin “awareness” increased from 64 to 85 per cent, while ownership increased from 2.9 to 5.0 per cent. Most Bitcoin purchasers are using the cryptocurrency as an investment and not as a means of payment for goods or services.
Staff discussion papers
The Bank of Canada continues to use the Bitcoin Omnibus Survey (BTCOS) to monitor trends in Canadians’ awareness, ownership and use of Bitcoin. The most recent iteration was conducted in late 2018, following an 85 percent decline in the price of Bitcoin throughout the year.
Cash use is declining while contactless and mobile payments are on the rise.
As the sole issuer of bank notes, the Bank of Canada conducts methods-of-payment (MOP) surveys to obtain a detailed and representative snapshot of Canadian payment choices, with a focus on cash usage.
Staff working papers
We estimate the effect that owning Bitcoin has on the amount of cash held by Canadian consumers. Our results question the view that adopting certain new technologies, such as Bitcoin, leads to a decline in cash holdings.
Using an economic model as well as survey data from the Bank of Canada, we study what factors influence the adoption of Bitcoin in Canada.
There has been tremendous discussion of Bitcoin, digital currencies and FinTech. However, there is limited empirical evidence of Bitcoin’s adoption and usage. We propose a methodology to collect a nationally representative sample using the Bitcoin Omnibus Survey (BTCOS) to track the ubiquity and usage of Bitcoin in Canada.
This technical report describes sampling, weighting and variance estimation for the Bank of Canada’s 2017 Methods-of-Payment Survey. Under quota sampling, a raking ratio method is implemented to generate weights with both post-stratification and nonparametric nonresponse weight adjustments.