Search

Content Types

Research Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

3036 Results

We Didn’t Start the Fire: Effects of a Natural Disaster on Consumers’ Financial Distress

We use detailed consumer credit data to investigate the impact of the 2016 Fort McMurray wildfire, the costliest wildfire disaster in Canadian history, on consumers’ financial stress. We focus on the arrears of insured mortgages because of their important implications for financial institutions and insurers’ business risk and relevant management practices.

Has the Inclusion of Forward-Looking Statements in Monetary Policy Communications Made the Bank of Canada More Transparent?

Staff Discussion Paper 2010-15 Christine Fay, Toni Gravelle
To investigate the extent to which the transparency of the Bank of Canada's monetary policy has improved, the authors examine empirically – over the period 30 October 2000 to 31 May 2007 – the reaction of Canadian financial markets to official Bank communications, and in particular their reaction to the recent inclusion of forward-looking policy-rate guidance in these communications.

Modeling Fluctuations in the Global Demand for Commodities

Staff Working Paper 2018-4 Lutz Kilian, Xiaoqing Zhou
It is widely understood that the real price of globally traded commodities is determined by the forces of demand and supply. One of the main determinants of the real price of commodities is shifts in the demand for commodities associated with unexpected fluctuations in global real economic activity.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): F, F4, F44, Q, Q1, Q11, Q3, Q31, Q4, Q41, Q43

What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada

Staff Working Paper 2022-17 Alejandra Bellatin, Gabriela Galassi
COVID-19 affects technology adoption: online job postings for technology-related occupations fall less during pandemic lockdowns and pick up faster during reopenings than postings for more traditional occupations.

Machine learning for economics research: when, what and how

Staff Analytical Note 2023-16 Ajit Desai
This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used.

Poignée de main invisible et persistance des cycles économiques : une revue de la littérature

Staff Working Paper 2003-40 Christian Calmès
The author explains how self-enforcing labour contracts can enhance the performance of macroeconomic models. He exposes the benefits of using these dynamic contracts to account for some puzzling macroeconomic facts regarding the dynamics and persistence of employment, consumption and output.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Economic models JEL Code(s): E, E1, E12, E4, E49, J, J3, J30, J31, J4, J41

Quantitative Easing in a Small Open Economy: An International Portfolio Balancing Approach

Staff Working Paper 2016-55 Serdar Kabaca
This paper studies the effects of quantitative easing (QE) in a small open economy dynamic stochastic general-equilibrium model with international portfolio balancing. Portfolios are classified as imperfectly substitutable short-term and long-term subportfolios, each including domestic and foreign bonds.
Content Type(s): Staff research, Staff working papers Research Topic(s): International topics, Monetary policy transmission JEL Code(s): E, E5, E52, F, F4, F41

Financial Intermediaries and the Macroeconomy: Evidence from a High-Frequency Identification

Staff Working Paper 2022-24 Pablo Ottonello, Wenting Song
We provide empirical evidence of effects to the aggregate economy from surprises about financial intermediaries’ net worth based on a high-frequency identification strategy. We estimate that news of a 1% decline in intermediaries’ net worth leads to a 0.2%–0.4% decrease in the market value of nonfinancial firms.

Understanding Monetary Policy and its Effects: Evidence from Canadian Firms Using the Business Outlook Survey

Staff Working Paper 2017-24 Matthieu Verstraete, Lena Suchanek
This paper shows (i) that business sentiment, as captured by survey data, matters for monetary policy decisions in Canada, and (ii) how business perspectives are affected by monetary policy shocks. Measures of business sentiment (soft data) are shown to have systematic explanatory power for monetary policy decisions over and above typical Taylor rule variables.
Content Type(s): Staff research, Staff working papers Research Topic(s): Firm dynamics, Interest rates, Monetary policy transmission JEL Code(s): D, D2, D22, E, E4, E44, E5, E52
Go To Page