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316 Results

Housing Price Network Effects from Public Transit Investment: Evidence from Vancouver

Staff working paper 2018-18 Alex Chernoff, Andrea Craig
In this paper, we estimate the effect on housing prices of the expansion of the Vancouver SkyTrain rapid transit network during the period 2001–11. We extend the canonical residential sorting equilibrium framework to include commuting time in the household utility function.

Potential Output in Canada: 2018 Reassessment

This note summarizes the reassessment of potential output, conducted by the Bank of Canada for the April 2018 Monetary Policy Report. Overall, the profile for potential output growth is expected to remain flat at 1.8 per cent between 2018 and 2020 and 1.9 per cent in 2021.

Assessing Global Potential Output Growth: April 2018

This note presents our estimates of potential output growth for the global economy through 2020. Overall, we expect global potential output growth to remain broadly stable over the projection horizon, averaging 3.3 per cent, although there is considerable uncertainty surrounding these estimates.

Personal Experiences and House Price Expectations: Evidence from the Canadian Survey of Consumer Expectations

Staff analytical note 2018-8 Mikael Khan, Matthieu Verstraete
In this work, we use novel Canadian survey data to study how expectations of future changes in house prices are influenced by personal experiences. We find that recently experienced changes in local house prices are routinely extrapolated into expectations of year-ahead changes in national house prices.

Firm Dynamics and Multifactor Productivity: An Empirical Exploration

Staff working paper 2018-15 Pierre St-Amant, David Tessier
There are indications that business dynamism has declined in advanced economies. In particular, firm entry and exit rates have fallen, suggesting that the creative destruction process has lost some of its vitality. Meanwhile, productivity growth has slowed. Some believe that lower entry and exit rates partly explain the weaker productivity growth.

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.

Did U.S. Consumers Respond to the 2014–2015 Oil Price Shock? Evidence from the Consumer Expenditure Survey

Staff working paper 2018-13 Patrick Alexander, Louis Poirier
The impact of oil price shocks on the U.S. economy is a topic of considerable debate. In this paper, we examine the response of U.S. consumers to the 2014–2015 negative oil price shock using representative survey data from the Consumer Expenditure Survey.

Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities

Staff analytical note 2018-6 Thibaut Duprey
When financial system vulnerabilities are elevated, they can give rise to asymmetric risks to the economic outlook. To illustrate this, I consider the economic outlook presented in the Bank of Canada’s October 2017 Monetary Policy Report in the context of two key financial system vulnerabilities: high levels of household indebtedness and housing market imbalances.

Can Media and Text Analytics Provide Insights into Labour Market Conditions in China?

The official Chinese labour market indicators have been seen as problematic, given their small cyclical movement and their only-partial capture of the labour force. In our paper, we build a monthly Chinese labour market conditions index (LMCI) using text analytics applied to mainland Chinese-language newspapers over the period from 2003 to 2017.

Dismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation

We use a new real-time database for Canada to study various output gap measures. This includes recently developed measures based on models incorporating many variables as inputs (and therefore requiring real-time data for many variables).
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