O33 - Technological Change: Choices and Consequences; Diffusion Processes

• Bitcoin Adoption and Beliefs in Canada

  Staff Working Paper 2021-60 Daniela Balutel, Christopher Henry, Jorge Vásquez, Marcel Voia

  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.

  Content Type(s): Staff research, Staff working papers Topic(s): Digital currencies and fintech, Econometric and statistical methods, Economic models JEL Code(s): D, D8, D83, O, O3, O33

• 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.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Coronavirus disease (COVID-19), Labour markets JEL Code(s): E, E2, E24, J, J2, J23, J6, J63, J64, O, O3, O33

• 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.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Financial stability, International topics, Monetary policy, Monetary policy and uncertainty, Trade integration JEL Code(s): E, E6, E63, F, F0, F02, F1, F15, F5, F53, F6, H, O, O1, O11, O3, O33

• 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.”

  Content Type(s): Staff research, Staff discussion papers Topic(s): Economic models, Financial stability, Monetary policy and uncertainty, Monetary policy framework JEL Code(s): C, C5, E, E3, O, O1, O11, O3, O33

• Blockchain Revolution Without the Blockchain

  Staff Analytical Note 2018-5 Hanna Halaburda

  The technology behind blockchain has attracted a lot of attention. However, this technology is for the most part not well understood. There is no consensus on what benefits it may bring or on how it may fail.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Digital currencies and fintech, Recent economic and financial developments, Service sector JEL Code(s): D, D8, G, G2, O, O3, O33

• Digitalization and Inflation: A Review of the Literature

  Staff Analytical Note 2017-20 Karyne B. Charbonneau, Alexa Evans, Subrata Sarker, Lena Suchanek

  In the past few years, many have postulated that the possible disinflationary effects of digitalization could explain the subdued inflation in advanced economies. In this note, we review the evidence found in the literature. We look at three main channels.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Inflation and prices, Market structure and pricing, Productivity JEL Code(s): D, D2, D22, E, E3, E31, L, L8, L81, O, O3, O33