In this paper, we examine trends in Canadian ownership of Bitcoin and other cryptocurrencies from 2016 to 2020 using data from surveys conducted by the Bank of Canada.
Using data from the Bank Note Distribution System and consumer surveys, we find that bank notes in circulation remained high through 2021. Canadians continued to rely on electronic methods of payment, but a significant share also continued using cash for payments.
We construct and estimate a structural two-stage model of equilibrium in a market for payments in order to quantify the network externalities and identify the main determinants of consumer and merchant decisions.
Is obscuring prices always bad for consumers? The answer depends on the market structure and on the negotiating power between manufacturers and retailers.
We assess the impact of COVID-19 on consumption indicators by estimating the effects of government-mandated containment measures and of the willingness of individuals to voluntarily physically distance to prevent contagion.
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.
We study the impact of the Bank of Canada’s choice of settlement mechanism in Lynx on participant behaviors, liquidity usage, payment delays and the overall operational efficiency of the new system.
A pilot project on climate transition scenarios by the Bank of Canada and the Office of the Superintendent of Financial Institutions assessed climate-related credit and market risks. This report describes the project’s methodologies and provides guidance on implementing them.
Climate transition scenarios clarify climate-related risks to our economy and financial system. This paper summarizes key results of Canada-relevant scenarios developed in a pilot project on climate risk by the Bank of Canada and the Office of the Superintendent of Financial Institutions.
The COVID-19 pandemic highlighted the need for policy-makers to closely monitor disruptions to the retail and food business sectors. We present a new method to measure business opening and closing rates using real-time data from Google Places, the dataset behind the Google Maps service.