Using a two-stage model, we study the determinants of Canadian consumers’ choices of payment method at the point of sale. We estimate consumer preferences and adoption costs for various combinations of payment methods. We analyze how introducing a central bank digital currency would affect the market equilibrium.
In this note, we highlight a range of technical options and considerations in designing a contingent system for a central bank digital currency (CBDC) in Canada and explore how these options achieve stated public policy goals.
In 2015, the Bank of Canada surveyed merchants and found that cash was nearly universally accepted (Fung, Huynh and Kosse 2017). Since 2015, retail payments in Canada have become increasingly digitalized, as many Canadians have adopted digital payment innovations like contactless cards and Interac e-Transfer.
Cashless or tellerless bank branches have proliferated in several countries in recent years. In a cashless bank branch, teller or counter services such as cash withdrawals, deposits and cheque-cashing are not available.
Recent consumer and merchant surveys show a decrease in the use of cash at the point of sale. Increasingly, consumers and merchants have access to a growing array of payment innovations as substitutes for cash.
Cash use for payments has been steadily decreasing in many countries, including Canada and Sweden. This might suggest an evolution toward a cashless society. But in Canada, cash in circulation relative to GDP has been stable for decades and has even increased in recent years. By contrast, the cash-to-GDP ratio in Sweden has been falling steadily. What has caused this difference? Are there lessons to be learned from comparing the Canadian and Swedish experiences?
Cash gives users a high level of privacy when making payments, but the use of cash to make payments is declining. People increasingly use debit cards, credit cards or other methods to pay.
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.