Econometric and statistical methods

• 2019 Cash Alternative Survey Results

  Staff Discussion Paper 2020-8 Kim Huynh, Gradon Nicholls, Mitchell Nicholson

  The role of cash in Canadians’ lives has been evolving, as innovations in digital payments have become more widely adopted over the past decade. We contribute to the Bank of Canada’s research on central bank digital currency by monitoring Canadians’ use of cash and their adoption of digital payment methods.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Bank notes, Central bank research, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, C9, E, E4, O, O5, O51

• 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 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 Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83