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68 Results

The Positive Case for a CBDC

Staff discussion paper 2021-11 Andrew Usher, Edona Reshidi, Francisco Rivadeneyra, Scott Hendry
We discuss the competition and innovation arguments for issuing a central bank digital currency (CBDC). A CBDC could be an effective competition policy tool for payments. A CBDC could also support the vibrancy of the digital economy. It could help solve market failures and foster competition and innovation in new digital payments markets.

An Empirical Analysis of Bill Payment Choices

Staff working paper 2021-23 Anneke Kosse
How do Canadians pay their bills? 2019 survey data collected from over 4,000 Canadian consumers show how people’s bill payment choices vary with consumer characteristics and types of bills. The data also reveal that many consumers feel limited in their choices, which suggests that preferences of billers might play an important role as well.

Payments on Digital Platforms: Resiliency, Interoperability and Welfare

Staff working paper 2021-19 Jonathan Chiu, Tsz-Nga Wong
This paper studies the business model choice between running a cash platform and a token platform, as well as its welfare and policy implications.

Cash and COVID-19: The Effects of Lifting Containment Measures on Cash Demand and Use

Staff discussion paper 2021-3 Heng Chen, Walter Engert, Kim Huynh, Gradon Nicholls, Julia Zhu
Using Bank Note Distribution System data on the demand for cash up to September 2020, we find that demand was strong. This is true even though cash use for payments declined early in the pandemic. When mobility restrictions and lockdown measures were eased, cash use for payments increased sharply but remained less popular than electronic methods of payment.

Distributional Effects of Payment Card Pricing and Merchant Cost Pass-through in Canada and the United States

Although credit cards are more expensive for merchants to accept than cash or debit cards, merchants typically pass through their costs evenly to all customers. Along with consumer card rewards and banking fees, this creates cross-subsidies between payment methods. Because higher-income individuals tend to use credit cards more than those with lower incomes, our results indicate that these cross-subsidies might lead to regressive distributional effects.

Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19

Staff working paper 2021-2 James Chapman, Ajit Desai
We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

Losing Contact: The Impact of Contactless Payments on Cash Usage

Staff working paper 2020-56 Marie-Hélène Felt
Contactless payment cards are a competitive alternative to cash. Using Canadian panel data from 2010 to 2017, this study investigates whether contactless credit cards are an important contributor to the decline in the transactional use of cash. 

Safe Payments

In a cashless economy, would the private sector invest in the optimal level of safety in a deposit-based payment system? In general, because of externalities, the answer is no. While the private sector could over- or under-invest in safety, the government can use taxes or subsidies to correct private incentives.

Predicting Payment Migration in Canada

Staff working paper 2020-37 Anneke Kosse, Zhentong Lu, Gabriel Xerri
Developments are underway to replace Canada’s two core payment systems with three new systems. We use a discrete choice model to predict migration patterns of end-users and financial institutions for future systems and discuss their policy implications.

Sample Calibration of the Online CFM Survey

Technical report No. 118 Marie-Hélène Felt, David Laferrière
The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.
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