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 Research Topic(s): Climate change, Credit and credit aggregates, Econometric and statistical methods, Financial stability JEL Code(s): C, C5, C53, C8, C83, G, G1, G3, G32
Business Closures and (Re)Openings in Real Time Using Google Places Staff Working Paper 2022-1 Thibaut Duprey, Daniel E. Rigobon, Philip Schnattinger, Artur Kotlicki, Soheil Baharian, T. R. Hurd The COVID-19 pandemic highlighted the need for policy-makers to closely monitor disruptions to the retail and food business sectors. We present a new method to measure business opening and closing rates using real-time data from Google Places, the dataset behind the Google Maps service. Content Type(s): Staff research, Staff working papers Research Topic(s): Firm dynamics, Recent economic and financial developments JEL Code(s): C, C5, C55, C8, C81, D, D2, D22, E, E3, E32
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 Research Topic(s): Business fluctuations and cycles, Firm dynamics JEL Code(s): C, C8, C83, D, D2, D22, E, E3, E32
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 Research Topic(s): Business fluctuations and cycles, Monetary policy, Monetary policy and uncertainty JEL Code(s): C, C8, C83, E, E3, E37, E5, E52
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 Research Topic(s): Firm dynamics, Regional economic developments JEL Code(s): C, C8, C83, D, D2, D22, E, E3, E32
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. Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C52, C6, C65, C8, C81, E, E4, E42, E5, E51
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 Research Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83
Social Learning and Monetary Policy at the Effective Lower Bound Staff Working Paper 2020-2 Jasmina Arifovic, Alex Grimaud, Isabelle Salle, Gauthier Vermandel 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. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Central bank research, Credibility, Economic models, Monetary policy, Monetary policy communications JEL Code(s): C, C8, C82, E, E3, E32, E5, E52
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. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C8, D, D2, D22, E, E4, L, L2
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 Research Topic(s): Business fluctuations and cycles, Firm dynamics JEL Code(s): C, C8, C83, E, E2, E22, H, H2, H25