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141 Results

May 11, 2017

The Digital Economy

Digital technologies—cloud computing, the Internet of Things, advanced robotics, big data analytics, artificial intelligence and machine learning, social media, 3D printing, augmented reality, virtual reality, e-money and distributed ledgers—are transforming the way busi-nesses operate. How does this transformation compare with past industrial revolutions? How are digital technologies changing production systems across industries? Agile firms that use knowledge intensively and have high levels of both organizational and human capital appear set to realize the greatest benefits from digitalization. Finally, what are the implications for productivity, labour markets, inflation and monetary policy as we transition to the digital economy?
Content Type(s): Publications, Bank of Canada Review articles Topic(s): Firm dynamics, Monetary policy, Productivity JEL Code(s): D, D2, D24, L, L1, L10, O, O1, O3, O33

April 2017 Annual Reassessment of Potential Output Growth in Canada

This note summarizes the Bank of Canada’s annual reassessment of potential output growth, conducted for the April 2017 Monetary Policy Report. Potential output growth is projected to increase from 1.3 per cent in 2017 to 1.6 per cent by 2020.
Content Type(s): Staff research, Staff analytical notes Topic(s): Labour markets, Potential output, Productivity JEL Code(s): E, E0, E00, E2, E22, E23, E24, E3, E37, E6

Assessing Global Potential Output Growth

This note estimates potential output growth for the global economy through 2019. While there is considerable uncertainty surrounding our estimates, overall we expect global potential output growth to rise modestly, from 3.1 per cent in 2016 to 3.4 per cent in 2019.

Anticipated Technology Shocks: A Re‐Evaluation Using Cointegrated Technologies

Staff Working Paper 2017-11 Joel Wagner
Two approaches have been taken in the literature to evaluate the relative importance of news shocks as a source of business cycle volatility. The first is an empirical approach that performs a structural vector autoregression to assess the relative importance of news shocks, while the second is a structural-model-based approach.

Producer Heterogeneity, Value-Added, and International Trade

Staff Working Paper 2016-54 Patrick Alexander
Standard new trade models depict producers as heterogeneous in total factor productivity. In this paper, I adapt the Eaton and Kortum (2002) model of international trade to incorporate tradable intermediate goods and producer heterogeneity in value-added productivity.
November 28, 2016

From Hewers of Wood to Hewers of Code: Canada’s Expanding Service Economy

Remarks Stephen S. Poloz C.D. Howe Institute Toronto, Ontario
Governor Stephen S. Poloz discusses how growth in Canada’s service sector is leading to high-paying jobs and helping complete the economic recovery.

Financial Constraint and Productivity: Evidence from Canadian SMEs

Staff Working Paper 2016-44 Shutao Cao, Danny Leung
The degree to which financial constraint is binding is often not directly observable in commonly used business data sets (e.g., Compustat). In this paper, we measure and estimate the likelihood of a firm being constrained by external financing using a data set of small- and medium-sized Canadian firms.
Content Type(s): Staff research, Staff working papers Topic(s): Firm dynamics, Productivity JEL Code(s): D, D2, D24, G, G3, G32, L, L2, L25
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