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24 Results

How Do People View Price and Wage Inflation?

Staff Working Paper 2022-34 Monica Jain, Olena Kostyshyna, Xu Zhang
This paper examines household-level data from the Canadian Survey of Consumer Expectations (CSCE) to understand households’ expectations about price and wage inflation, how those expectations link to views about labour market conditions and the subsequent impact on households’ outlook for real spending growth.

The Business Leaders’ Pulse—An Online Business Survey

This paper introduces the Business Leaders’ Pulse, a new online survey conducted each month. It is designed to provide timely and flexible input into the Bank of Canada’s monetary policy decision making by asking firms about their sales and employment growth expectations, the risks to their business outlook, and topical questions that address specific information needs of the Bank.

Assessing Climate-Related Financial Risk: Guide to Implementation of Methods

A pilot project on climate transition scenarios by the Bank of Canada and the Office of the Superintendent of Financial Institutions assessed climate-related credit and market risks. This report describes the project’s methodologies and provides guidance on implementing them.

Small and smaller: How the economic outlook of small firms relates to size

Staff Analytical Note 2021-14 Chris D'Souza, James Fudurich, Farrukh Suvankulov
Firms with fewer than 100 workers employ about 65 percent of the total labour force in Canada. An online survey experiment was conducted with firms of this size in Canada in 2018–19. We compare the responses of small and micro firms to explore how their characteristics and economic outlooks relate to their size.

Qualitative Field Research in Monetary Policy Making

Staff Discussion Paper 2021-1 Chris D'Souza, Jane Voll
Central banks conduct research involving in-depth interviews with external parties—but little is known about how this information affects monetary policy. We address this gap by analyzing open-ended interviews with senior central bank economic and policy staff who work closely with policy decision-makers.

A Reference Guide for the Business Outlook Survey

Staff Discussion Paper 2020-15 David Amirault, Naveen Rai, Laurent Martin
The Business Outlook Survey (BOS) has become an important part of monetary policy deliberations at the Bank of Canada and is also well known in Canadian policy and financial circles. This paper compiles more than 20 years of experience conducting the BOS and serves as a comprehensive reference manual.

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

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

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.
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