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2191 Results

Identifying Nascent High-Growth Firms Using Machine Learning

Staff working paper 2023-53 Stéphanie Houle, Ryan Macdonald
Firms that grow rapidly have the potential to usher in new innovations, products or processes (Kogan et al. 2017), become superstar firms (Haltiwanger et al. 2013) and impact the aggregate labour share (Autor et al. 2020; De Loecker et al. 2020). We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data.

Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks

Staff working paper 2025-10 Zhentong Lu, Kenichi Shimizu
We propose a novel approach to estimating consumer demand for differentiated products. We eliminate the need for instrumental variables by assuming demand shocks are sparse. Our empirical applications reveal strong evidence of sparsity in real-world datasets.

Monetary Policy Tradeoffs Between Financial Stability and Price Stability

Staff working paper 2016-49 Malik Shukayev, Alexander Ueberfeldt
We analyze the impact of interest rate policy on financial stability in an environment where banks can experience runs on their short-term liabilities, forcing them to sell assets at fire-sale prices.

Monetary Policy Transmission with Endogenous Central Bank Responses in TANK

Staff working paper 2025-21 Lilia Maliar, Chris Naubert
We study how the transmission of monetary policy innovations is affected by the endogenous response of the central bank to macroeconomic aggregates in a two-agent New Keynesian model. We focus on how the stance of monetary policy and the fraction of savers in the economy affect transmission.

Immigration and Provision of Public Goods: Evidence at the Local Level in the U.S.

Staff working paper 2023-57 Anna Maria Mayda, Mine Z. Senses, Walter Steingress
Using U.S. county-level data from 1990 to 2010, we study the causal impact of immigration on the provision of local public goods. We uncover substantial heterogeneity across immigrants with different skills and immigrants of different generations, which leads to unequal fiscal effects across U.S. counties.

A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil

Staff working paper 2016-18 Christiane Baumeister, Lutz Kilian
Futures markets are a potentially valuable source of information about price expectations. Exploiting this information has proved difficult in practice, because time-varying risk premia often render the futures price a poor measure of the market expectation of the price of the underlying asset.

The potential effect of a central bank digital currency on deposit funding in Canada

Staff analytical note 2020-15 Alejandro García, Bena Lands, Xuezhi Liu, Joshua Slive
A retail central bank digital currency denominated in Canadian dollars could, in theory, create competition for bank deposit funding.

Detecting exuberance in house prices across Canadian cities

Staff analytical note 2021-9 Ugochi Emenogu, Cars Hommes, Mikael Khan
We introduce a model to detect periods of extrapolative house price expectations across Canadian cities. The House Price Exuberance Indicator can be updated on a quarterly basis to support the Bank of Canada’s broader assessment of housing market imbalances.

The increasing role of hedge funds in Government of Canada bond auctions

Staff analytical note 2025-22 Adam Epp, Jeffrey Gao
We find that the rise in Government of Canada debt issuance correlates to growing participation of hedge funds in bond auctions since 2020. This increased participation supports the cost-effective distribution of Canada’s debt, but it also represents a potential vulnerability because hedge funds have a greater flight risk than other investor types.

Is a Cashless Society Problematic?

Staff discussion paper 2018-12 Walter Engert, Ben Fung, Scott Hendry
The use of bank notes in Canada for payments has declined consistently for some time, and similar trends are evident in other countries. This has led some observers to predict a cashless society in the future.
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