Search

Content Types

Subjects

Authors

Research Themes

JEL Codes

Sources

Published After

Published Before

2154 Results

Occasionally Binding Constraints in Large Models: A Review of Solution Methods

Staff discussion paper 2021-5 Jonathan Swarbrick
Solving macroeconomic models is difficult. One challenge is the occasionally binding constraint of the zero lower bound on nominal interest rates. This paper reviews various ways to solve models that include this feature.

An Empirical Analysis of Bill Payment Choices

Staff working paper 2021-23 Anneke Kosse
How do Canadians pay their bills? 2019 survey data collected from over 4,000 Canadian consumers show how people’s bill payment choices vary with consumer characteristics and types of bills. The data also reveal that many consumers feel limited in their choices, which suggests that preferences of billers might play an important role as well.

To Tokenize, or Not to Tokenize: The Design Question for a Central Bank Digital Currency

Staff working paper 2026-14 Jonathan Chiu, Cyril Monnet, Oliver Junye Xu
This paper develops a general equilibrium model to assess central bank digital currency (CBDC) design in a monetary system where traditional banks and “crypto banks” (i.e., banks that issue stablecoins) coexist. We compare tokenized and non-tokenized CBDC, showing that their desirability depends on the reliability of private money provision, the availability of collateral assets and the features of the crypto sector.

A Horse Race of Monetary Policy Regimes: An Experimental Investigation

Staff working paper 2022-33 Olena Kostyshyna, Luba Petersen, Jing Yang
How should central banks design monetary policy in stable times and during recessions? We run a horse race between five monetary policy frameworks in an experimental laboratory to assess how well the different approaches can manage the public’s expectations and stabilize the economy.

Macroeconomic Predictions Using Payments Data and Machine Learning

Staff working paper 2022-10 James Chapman, Ajit Desai
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.

The Effect of Oil Price Shocks on Asset Markets: Evidence from Oil Inventory News

Staff working paper 2020-8 Ron Alquist, Reinhard Ellwanger, Jianjian Jin
We quantify the reaction of U.S. equity, bond futures, and exchange rate returns to oil price shocks driven by oil inventory news.

The Rise of Non-Regulated Financial Intermediaries in the Housing Sector and its Macroeconomic Implications

Staff working paper 2017-36 Hélène Desgagnés
I examine the impact of non-regulated lenders in the mortgage market using a dynamic stochastic general equilibrium (DSGE) model. My model features two types of financial intermediaries that differ in three ways: (i) only regulated intermediaries face a capital requirement, (ii) non-regulated intermediaries finance themselves by selling securities and cannot accept deposits, and (iii) non-regulated intermediaries face a more elastic demand.
May 14, 2015

The Use of Cash in Canada

The Bank of Canada’s 2013 Methods-of-Payment Survey indicates that the share of cash in the overall number of retail transactions has continued to decrease, mainly because of increased use of contactless credit cards. The share of cash in the total value of retail transactions was virtually unchanged from 2009 to 2013. In particular, the value share of cash transactions above $50 increased. Automated banking machines (ABMs), still the major source of cash for Canadians, were used less often in 2013 than in 2009. Cash use in Canada is broadly similar to that in Australia and the United States.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C8, C83, E, E4, E42, G, G2, G21, L, L8, L81

Women in economics: What data from top universities reveal about gender equity

Sparks at Bank article Gabriela Galassi
In the field of economics, on average, women tend to produce fewer research articles and be cited less often than men. But this appears to be changing. A newly compiled dataset about scholars at top universities around the world helps us identify where individual gender gaps exist.
Go To Page