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2182 Results

Flight from Safety: How a Change to the Deposit Insurance Limit Affects Households’ Portfolio Allocation

Staff working paper 2019-29 H. Evren Damar, Reint Gropp, Adi Mordel
Deposit insurance protects depositors from failing banks, thus making insured deposits risk-free. When a deposit insurance limit is increased, some deposits that previously were uninsured become insured, thereby increasing the share of risk-free assets in households’ portfolios. This increase cannot simply be undone by households, because to invest in uninsured deposits, a household must first invest in insured deposits up to the limit. This basic insight is the starting point of the analysis in this paper.

What to Expect When China Liberalizes Its Capital Account

Staff discussion paper 2016-10 Mark Kruger, Gurnain Pasricha
When China joined the World Trade Organization in December 2001, it marked a watershed for the world economy. Ten years from now, the opening of China’s capital account and the financial integration that will unfold will be viewed as a milestone of similar importance.

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.

Redistributive Effects of a Change in the Inflation Target

Staff analytical note 2017-13 Robert Amano, Thomas J. Carter, Yaz Terajima
In light of the financial crisis and its aftermath, several economists have argued that inflation-targeting central banks should reconsider the level of their inflation targets. While the appropriate level for the inflation target remains an open question, it’s important to note that any transition to a new target would entail certain costs.
October 20, 2006

MUSE: The Bank of Canada's New Projection Model of the U.S. Economy

Staff projections provided for the Bank of Canada's monetary policy decision process take into account the integration of Canada's very open economy within the global economy, as well as its close real and financial linkages with the United States. To provide inputs for this projection, the Bank has developed several models, including MUSE, NEUQ (the New European Quarterly Model), and BoC-GEM (Bank of Canada Global Economy Model), to analyze and forecast economic developments in the rest of the world. The authors focus on MUSE, the model currently used to describe interaction among the principal U.S. economic variables, including gross domestic product, inflation, interest rates, and the exchange rate. Brief descriptions are also provided of NEUQ and BoC-GEM.
November 14, 2013

Bank of Canada Review - Autumn 2013

Bank of Canada Review - Autumn 2013
The three articles in this issue provide an overview of the monetary policy decision-making process at the Bank of Canada, a discussion of Bank research on the assessment of vulnerabilities in the financial system and a description of recent fragmentation in Canadian equity markets.
August 4, 2010

Governor's Award

Annual research grants for a term of up to two years.
October 26, 2018

Staff economic projections

These forecasts are provided to Governing Council in preparation for monetary policy decisions. They are released once a year with a five-year lag.

Is the Discretionary Income Effect of Oil Price Shocks a Hoax?

Staff working paper 2017-50 Christiane Baumeister, Lutz Kilian, Xiaoqing Zhou
The transmission of oil price shocks has been a question of central interest in macroeconomics since the 1970s. There has been renewed interest in this question after the large and persistent fall in the real price of oil in 2014–16. In the context of this debate, Ramey (2017) makes the striking claim that the existing literature on the transmission of oil price shocks is fundamentally confused about the question of how to quantify the effect of oil price shocks.
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