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2094 Results

August 15, 2013

Big Data Analysis: The Next Frontier

The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C5, C53, C6, C63, C8, C80

Local Labor Markets in Canada and the United States

Staff working paper 2019-12 David Albouy, Alex Chernoff, Chandler Lutz, Casey Warman
We examine local labor markets in the United States and Canada from 1990 to 2011 using comparable household and business data. Wage levels and inequality rise with city population in both countries, albeit less in Canada.

The Central Bank’s Dilemma: Look Through Supply Shocks or Control Inflation Expectations?

Staff working paper 2022-41 Paul Beaudry, Thomas J. Carter, Amartya Lahiri
When countries are hit by supply shocks, central banks often face the dilemma of either looking through such shocks or reacting to them to ensure that inflation expectations remain anchored. In this paper, we propose a tractable framework to capture this dilemma and then explore optimal policy under a range of assumptions about how expectations are formed.
October 8, 2009

Central Banking in Canada: Meeting Today's and Tomorrow's Challenges

Remarks Paul Jenkins Vancouver Board of Trade Vancouver, British Columbia
Indeed, the global financial crisis of the past two years has presented unique, stressful challenges that have forced us all to assess what has worked well and what needs to change. Today, I would like to review some of the critical thinking around these issues, primarily from the perspective of our work at the Bank of Canada.

The Mutable Geography of Firms’ International Trade

Staff working paper 2025-11 Lu Han
Exporters frequently change their market destinations. This paper introduces a new approach to identifying the drivers of these decisions over time. Analysis of customs data from China and the UK shows most changes are driven by demand rather than supply-related shocks.

State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models

Staff working paper 2018-14 Luis Uzeda
Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood.
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