Assessing Climate-Related Financial Risk: Guide to Implementation of Methods Technical report No. 120 Hossein Hosseini Jebeli, Craig Johnston, Craig Logan, Miguel Molico, Xiangjin Shen, Marie-Christine Tremblay 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. Content Type(s): Staff research, Technical reports JEL Code(s): C, C5, C53, C8, C83, G, G1, G3, G32 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Structural challenges, Climate change
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. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C8, C83, D, D2, D22, E, E3, E32 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
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. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C8, C83, E, E3, E37, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
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. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C8, C83, D, D2, D22, E, E3, E32 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
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 JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes, Retail payments
What Do Survey Data Tell Us About US Businesses? Staff working paper 2019-45 Anmol Bhandari, Serdar Birinci, Ellen McGrattan, Kurt See 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. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C8, C83, E, E2, E22, H, H2, H25 Research Theme(s): Financial system, Household and business credit, Monetary policy, Real economy and forecasting
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 JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
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. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C13, C15, C8, C83, E, E4, E41 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes
On the Evolution of the United Kingdom Price Distributions Staff working paper 2018-25 Ba M. Chu, Kim Huynh, David T. Jacho-Chávez, Oleksiy Kryvtsov 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). Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, C8, C83, E, E3, E31, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures
June 7, 2018 The Bank of Canada’s Financial System Survey Financial System Review - June 2018 Guillaume Bédard-Pagé, Ian Christensen, Scott Kinnear, Maxime Leboeuf 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. Content Type(s): Publications, Financial System Review articles JEL Code(s): C, C8, C83, G, G1, G11, G18, G2, G28, G3, G32