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15 Results

Cash in the Pocket, Cash in the Cloud: Cash Holdings of Bitcoin Owners

Staff Working Paper 2022-26 Daniela Balutel, Christopher Henry, Kim Huynh, Marcel Voia
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.

Resilience of bank liquidity ratios in the presence of a central bank digital currency

Staff Analytical Note 2022-5 Alissa Gorelova, Bena Lands, Maria teNyenhuis
Could Canadian banks continue to meet their regulatory liquidity requirements after the introduction of a cash-like retail central bank digital currency (CBDC)? We conduct a hypothetical exercise to estimate how a CBDC could affect bank liquidity by increasing the run-off rates of transactional retail deposits under four increasingly severe scenarios.

Canadian job postings in digital sectors during COVID-19

Staff Analytical Note 2021-18 Alejandra Bellatin, Gabriela Galassi
Digital technologies have helped maintain economic activity while allowing people to remain physically distant throughout the COVID-19 crisis. This note shows that the number of online postings for jobs related to the production of digital technologies in Canada decreased less than the number for other jobs and recovered more quickly after lockdowns were lifted.

Overlooking the online world: Does mismeasurement of the digital economy explain the productivity slowdown?

Staff Analytical Note 2021-10 Alejandra Bellatin, Stephanie Houle
Since the mid-2000s, labour productivity has slowed down in Canada despite enormous technological advances that were expected to improve it. This note investigates whether mismeasurement of the digital economy can explain this paradox.
Content Type(s): Staff research, Staff analytical notes Topic(s): Productivity JEL Code(s): E, E0, E01, L, L8, L86, O, O3, O33, O4, O5, O51

Adoption of Digital Technologies: Insights from a Global Survey Initiative

Staff Discussion Paper 2021-7 James Fudurich, Lena Suchanek, Lise Pichette
Firms are at the forefront of adopting new technology. Using survey data from a global network of central banks, we assess the effects of digitalization on firms’ pricing and employment decisions.
Content Type(s): Staff research, Staff discussion papers Topic(s): Firm dynamics, Inflation and prices, Labour markets JEL Code(s): D, D2, D22, E, E3, E31, J, J2, J21, O, O3, O33

Technology Adoption in Input-Output Networks

Staff Working Paper 2019-51 Xintong Han, Lei Xu
We study how input-output networks affect the speed of technology adoption. In particular, we model the decision to adopt the programming language Python 3 by software packages. Python 3 provides advanced features but is not backward compatible with Python 2, which implies it comes with adoption costs.
Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Firm dynamics, Productivity JEL Code(s): C, C6, C61, L, L2, L23, L8, L86, O, O1, O14, O3, O33

The Cyber Incident Landscape

Staff Analytical Note 2019-32 Nikil Chande, Dennis Yanchus
The Canadian financial system is vulnerable to cyber threats. But for many firms, cyber risk is difficult to quantify. We examine public information on past cyber incidents to better understand the current risk landscape and find that a holistic view is needed to fully grasp the nature of this risk.
Content Type(s): Staff research, Staff analytical notes Topic(s): Financial markets, Financial stability JEL Code(s): G, G2, G28, M, M1, M15, O, O3, O33, O38

Changing Fortunes: Long-Termism—G-Zero, Artificial Intelligence and Debt

Staff Discussion Paper 2019-12 Stephen S. Poloz
This paper discusses three long-term forces that are acting on the global economy and their implications for companies and policy-makers.

Technological Progress and Monetary Policy: Managing the Fourth Industrial Revolution

Staff Discussion Paper 2019-11 Stephen S. Poloz
This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the “fourth industrial revolution.”
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