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485 Results

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.

Estimating the Impacts of Tariff Changes: Two Illustrative Scenarios

Staff analytical note 2018-29 Karyne B. Charbonneau, Anthony Landry
We build upon new developments in the international trade literature to construct a quantitative Ricardian framework similar to Caliendo and Parro (2015) to isolate and estimate the long-run economic impacts of tariff changes.

Expropriation Risk and FDI in Developing Countries: Does Return of Capital Dominate Return on Capital?

Staff working paper 2017-9 M. Akhtaruzzaman, Nathan Berg, Christopher Hajzler
Previously reported effects of institutional quality and political risks on foreign direct investment (FDI) are mixed and, therefore, difficult to interpret. We present empirical evidence suggesting a relatively clear, statistically robust, and intuitive characterization.

Amazon Effects in Canadian Online Retail Firm-Product-Level Data

Staff working paper 2019-42 Alex Chernoff
I use firm-product-level data for Canadian online retailers to study how product scope (the average number of product categories per firm) evolved from 1999 to 2012. During this period, product scope dropped monotonically from 59 to 5 product categories.

The Welfare Cost of Inflation Revisited: The Role of Financial Innovation and Household Heterogeneity

We document that, across households, the money consumption ratio increases with age and decreases with consumption, and that there has been a large increase in the money consumption ratio during the recent era of very low interest rates. We construct an overlapping generations (OLG) model of money holdings for transaction purposes subject to age (older households use more money), cohort (younger generations are exposed to better transaction technology), and time effects (nominal interest rates affect money holdings).

Household Risk Assessment Model

Technical report No. 106 Brian Peterson, Tom Roberts
Household debt can be an important source of vulnerability to the financial system. This technical report describes the Household Risk Assessment Model (HRAM) that has been developed at the Bank of Canada to stress test household balance sheets at the individual level.

Strategic Complementarities and Money Market Fund Liquidity Management

Staff working paper 2017-14 Jonathan Witmer
Following the financial crisis, there has been increased regulatory focus on the management of liquidity in mutual funds and, specifically, whether funds hold enough liquidity to guard against the potential for investor runs.

Decomposing Systemic Risk: The Roles of Contagion and Common Exposures

Staff working paper 2024-19 Grzegorz Halaj, Ruben Hipp
We examine systemic risks within the Canadian banking sector, decomposing them into three contribution channels: contagion, common exposures, and idiosyncratic risk. Through a structural model, we dissect how interbank relationships and market conditions contribute to systemic risk, providing new insights for financial stability.

Trade and Market Power in Product and Labor Markets

Staff working paper 2021-17 Gaelan MacKenzie
Trade liberalizations increase the sales and input purchases of productive firms relative to their less productive domestic competitors. This reallocation affects firms’ market power in their product and input markets. I quantify how the labour market power of employers affects the distribution and size of the gains from trade.

Predictive Density Combination Using a Tree-Based Synthesis Function

This paper studies non-parametric combinations of density forecasts. We introduce a regression tree-based approach that allows combination weights to vary on the features of the densities, time-trends or economic indicators. In two empirical applications, we show the benefits of this approach in terms of improved forecast accuracy and interpretability.
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