Content Types


JEL Codes






Published After

Published Before

190 Results

Job Applications and Labour Market Flows

Staff Working Paper 2021-49 Serdar Birinci, Kurt See, Shu Lin Wee
Although the number of job applications has risen, job-finding rates remain relatively unchanged while job-separation rates have significantly declined. Rather than raising the probability of finding a job, we find that a rise in applications raises the probability of finding a good match, as evidenced by the decline in separation rates.
Content Type(s): Staff research, Staff working papers Topic(s): Labour markets, Productivity JEL Code(s): E, E2, E24, J, J6, J63, J64

Assessing Labour Market Slack for Monetary Policy

Staff Discussion Paper 2021-15 Erik Ens, Laurence Savoie-Chabot, Kurt See, Shu Lin Wee
Measuring labour market slack is essential for central banks: without full employment in the economy, inflation will not stay close to target. We propose a comprehensive approach to assessing labour market slack that reflects the complexity and diversity of the labour market.

More Money for Some: The Redistributive Effects of Open Market Operations

Staff Working Paper 2021-46 Christian Bustamante
I use a search-theoretic model of money to study how open market operations affect the conduct of monetary policy and what this means for households along the wealth distribution. In the model, households vary in the size and composition of their portfolios, which in turn implies that they may be unevenly affected by open market operations.

Payment Habits During COVID-19: Evidence from High-Frequency Transaction Data

Staff Working Paper 2021-43 Tatjana Dahlhaus, Angelika Welte
We examine how consumers have adjusted their payment habits during the COVID-19 pandemic. They seem to perform fewer transactions, spend more in each transaction, use less cash at the point of sale and withdraw cash from ATMs linked to their financial institution more often than from other ATMs.

Canadian job postings in digital sectors during COVID-19

Staff Analytical Note 2021-18 Alejandra Bellatin, Gabriela Galassi
Digital technologies have helped maintain economic activity while allowing people to remain physically distant throughout the COVID-19 crisis. This note shows that the number of online postings for jobs related to the production of digital technologies in Canada decreased less than the number for other jobs and recovered more quickly after lockdowns were lifted.

The Bank of Canada’s “Horse Race” of Alternative Monetary Policy Frameworks: Some Interim Results from Model Simulations

Staff Discussion Paper 2021-13 José Dorich, Rhys R. Mendes, Yang Zhang
Bank of Canada staff are running a “horse race” of alternative monetary policy frameworks in the lead-up to 2021 renewal of the Bank’s monetary policy framework. This paper summarizes some interim results of model simulations from their research.

The uneven economic consequences of COVID 19: A structural analysis

Staff Analytical Note 2021-17 Martin Kuncl, Austin McWhirter, Alexander Ueberfeldt
Using a structural model, we study the economic consequences of the COVID-19 shock. The uneven consequences, such as higher unemployment among young households, amplify the negative implications for the macroeconomy, household vulnerabilities and consumption inequality. Government support programs have stimulated the economy and lowered inequality and medium-term vulnerabilities.

Monetary Policy and the Persistent Aggregate Effects of Wealth Redistribution

Staff Working Paper 2021-38 Martin Kuncl, Alexander Ueberfeldt
Monetary policy in the presence of nominal debt and labour supply heterogeneity creates a policy trade-off: a short-term economic stimulus leads to persistently reduced output over the medium term. Price-level targeting weakens this trade-off and is better able to stabilize inflation and output than inflation targeting.

Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers

Staff Working Paper 2021-37 Felix Brunner, Ruben Hipp
Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links.

The Anatomy of Sentiment-Driven Fluctuations

Staff Working Paper 2021-33 Sushant Acharya, Jess Benhabib, Zhen Huo
We show that changes in sentiment that aren’t related to fundamentals can drive persistent macroeconomic fluctuations even when all economic agents are rational. Changes in sentiment can also affect how fundamental shocks affect macroeconomic outcomes.
Go To Page