D - Microeconomics
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The Role of Beliefs in Entering and Exiting the Bitcoin Market
We develop a model that links investors’ decisions to enter or exit the Bitcoin market with their beliefs about the survival of Bitcoin. Empirical testing using Canadian data reveals that beliefs strongly influence both entries and exits, and this impact varies with time and ownership status. -
Saving after Retirement and Preferences for Residual Wealth
We estimate a model of households in Norway with bequest motives, health-dependent utility, and uncertain longevity and health. Our estimates imply strong bequest motives for households both with and without offspring. We interpret this as suggestive evidence that utility from residual wealth represents forces beyond an altruistic bequest motive. -
Markups and Inflation in Oligopolistic Markets: Evidence from Wholesale Price Data
We study how the interaction of market power and nominal price rigidity influences inflation dynamics. We find that pass-through declines with price stickiness when markets are concentrated, which implies a lower slope of the New Keynesian Phillips curve. -
Total factor productivity growth projection for Canada: A sectoral approach
We propose a tool that decomposes TFP growth into sectoral contributions. The analysis incorporates three structural factors—digitalization, aging and climate change policies—and measures their contributions. Overall, we expect that aggregate TFP growth will slow down in the 2020s below both its historical average and the average from the 2010s. -
Survey of Indigenous Firms: A Snapshot of Wages, Prices and Financing in the Indigenous Business Sector in Canada
What sources of financing do Indigenous-owned businesses in Canada use, and what are their expectations about prices, wages and inflation? We find Indigenous-owned firms are significantly less reliant on financial institutions as sources of financing compared with non-Indigenous firms. We also find Indigenous-owned firms have higher inflation expectations and weaker wage-growth expectations. -
Digital Payments in Firm Networks: Theory of Adoption and Quantum Algorithm
We build a network formation game of firms with trade flows to study the adoption and usage of a new digital currency as an alternative to correspondent banking. -
Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems
Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems. -
Liquidity risks at Canadian life insurance companies
We examine how life insurers manage liquidity risks created by their business model. We find that Canadian life insurers did not face significant liquidity draws and continued their usual investment behaviour during the COVID-19 crisis and as interest rates increased in 2022. -
Pricing behaviour and inflation during the COVID-19 pandemic: Insights from consumer prices microdata
Using the microdata underlying the Canadian consumer price index, we study how often and by how much firms changed their prices during the COVID-19 pandemic. We find that the surge in inflation was mainly associated with retailers raising prices much more often than before. We also find that more recently, corporate price-setting behaviour appears to be approaching pre-pandemic norms.