C83 - Survey Methods; Sampling Methods
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Small and smaller: How the economic outlook of small firms relates to size
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
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
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
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. -
What Do Survey Data Tell Us About US Businesses?
This paper examines the reliability of survey data on business incomes, valuations, and rates of return, which are key inputs for studies of wealth inequality and entrepreneurial choice. -
2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation
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. -
Bootstrapping Mean Squared Errors of Robust Small-Area Estimators: Application to the Method-of-Payments Data
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. -
On the Evolution of the United Kingdom Price Distributions
We propose a functional principal components method that accounts for stratified random sample weighting and time dependence in the observations to understand the evolution of distributions of monthly micro-level consumer prices for the United Kingdom (UK). -
June 7, 2018
The Bank of Canada’s Financial System Survey
This report presents the details of a new semi-annual survey that will improve the Bank of Canada’s surveillance across the financial system and deepen efforts to engage with financial system participants. The survey collects expert opinions on the risks to and resilience of the Canadian financial system as well as on emerging trends and financial innovations. The report presents an overview of the survey and provides high-level results from the spring 2018 survey.