C8 - Data Collection and Data Estimation Methodology; Computer Programs
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Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning
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. -
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. -
Social Learning and Monetary Policy at the Effective Lower Bound
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.