Search

Content Types

Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

59 Results

Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning

Staff Working Paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez
Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash.

Sample Calibration of the Online CFM Survey

Technical Report No. 118 Marie-Hélène Felt, David Laferrière
The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.
Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83

Social Learning and Monetary Policy at the Effective Lower Bound

This research develops a model in which the economy is directly influenced by how pessimistic or optimistic economic agents are about the future. The agents may hold different views and update them as new economic data become available.

2018 Merchant Acceptance Survey

Staff Analytical Note 2019-31 Kim Huynh, Gradon Nicholls, Mitchell Nicholson
In 2015, the Bank of Canada surveyed merchants and found that cash was nearly universally accepted (Fung, Huynh and Kosse 2017). Since 2015, retail payments in Canada have become increasingly digitalized, as many Canadians have adopted digital payment innovations like contactless cards and Interac e-Transfer.

Online Job Seekers in Canada: What Can We Learn from Bing Job Queries?

Labour markets in Canada and around the world are evolving rapidly with the digital economy. Traditional data are adapting gradually but are not yet able to provide timely information on this evolution.

2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation

Technical Report No. 114 Heng Chen, Marie-Hélène Felt, Christopher Henry
This technical report describes sampling, weighting and variance estimation for the Bank of Canada’s 2017 Methods-of-Payment Survey. Under quota sampling, a raking ratio method is implemented to generate weights with both post-stratification and nonparametric nonresponse weight adjustments.
Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83

GDP by Industry in Real Time: Are Revisions Well Behaved?

Staff Analytical Note 2018-40 Patrick Rizzetto
The monthly data for real gross domestic product (GDP) by industry are used extensively in real time both to ground the Bank of Canada’s monitoring of economic activity and in the Bank’s nowcasting tools, making these data one of the most important high-frequency time series for Canadian nowcasting.

Assessing Vulnerabilities in Emerging-Market Economies

Staff Discussion Paper 2018-13 Tatjana Dahlhaus, Alexander Lam
This paper introduces a new tool to monitor economic and financial vulnerabilities in emerging-market economies. We obtain vulnerability indexes for several early warning indicators covering 26 emerging markets from 1990 to 2017 and use them to monitor the evolution of vulnerabilities before, during and after an economic or financial crisis.

Bootstrapping Mean Squared Errors of Robust Small-Area Estimators: Application to the Method-of-Payments Data

Staff Working Paper 2018-28 Valéry Dongmo Jiongo, Pierre Nguimkeu
This paper proposes a new bootstrap procedure for mean squared errors of robust small-area estimators. We formally prove the asymptotic validity of the proposed bootstrap method and examine its finite sample performance through Monte Carlo simulations.
Go To Page