C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Analysis - Bank of Canada
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Bank of Canada RSS Feedsen2024-03-28T09:34:35+00:00Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning
https://www.bankofcanada.ca/2020/08/staff-working-paper-2020-33/
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.2020-08-19T08:55:16+00:00enSurvival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning2020-08-19Bank notesEconometric and statistical methodsPayment clearing and settlement systemsStaff Working Paper 2020-33https://www.bankofcanada.ca/wp-content/uploads/2020/08/swp2020-33.pdfStaff Working Paper 2020-33Diego RojasJuan EstradaKim HuynhDavid T. Jacho-ChávezAugust 2020CC5C52C6C65C8C81EE4E42E5E51Sample Calibration of the Online CFM Survey
https://www.bankofcanada.ca/2020/08/technical-report-118/
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.2020-08-12T08:56:17+00:00enSample Calibration of the Online CFM Survey2020-08-12Econometric and statistical methodsTechnical Report 2020-118https://www.bankofcanada.ca/wp-content/uploads/2020/08/tr118.pdfTechnical Report 2020-118Marie-Hélène FeltDavid LaferrièreAugust 2020CC8C81C83