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156 Results

Capital-Goods Imports and US Growth

Staff Working Paper 2018-1 Michele Cavallo, Anthony Landry
Capital-goods imports have become an increasing source of growth for the U.S. economy. To understand this phenomenon, we build a neoclassical growth model with international trade in capital goods in which agents face exogenous paths of total factor and investment-specific productivity measures.
Content Type(s): Staff research, Staff working papers Research Topic(s): Productivity, Trade integration JEL Code(s): E, E2, F, F2, F4, O, O3, O4

Digitalization and Inflation: A Review of the Literature

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 Research 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
September 18, 2017

How Canada’s International Trade is Changing with the Times

Remarks Timothy Lane Saskatoon Regional Economic Development Authority Saskatoon, Saskatchewan
Deputy Governor Timothy Lane discusses the changing nature of international trade and the factors that are propelling it.

Firm Heterogeneity, Technological Adoption, and Urbanization: Theory and Measurement

Staff Working Paper 2017-27 Alex Chernoff
This paper develops a model of firm heterogeneity, technological adoption, and urbanization. In the model, welfare is measured by household real income, and urbanization is measured by population density. I use the model to derive statistics that measure the effect of a new technology on productivity, welfare, and urbanization.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Productivity, Regional economic developments JEL Code(s): N, N6, N61, O, O1, O14, R, R1, R13
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 Research 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 Research 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.
Content Type(s): Staff research, Staff analytical notes Research Topic(s): International topics, Potential output, Productivity JEL Code(s): E, E1, E10, E2, E20, O, O4

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.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Productivity JEL Code(s): E, E3, E32
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