Using a structural life-cycle model and data on school visits from Safegraph and school closures from Burbio, we quantify the heterogeneous impact of school closures during the Corona crisis on children affected at different ages and coming from households with different parental...

Job applications have risen over time, yet job-finding rates have remained unchanged. Meanwhile, job separations have declined. We argue that an increase in the number of applications raises the probability of finding a good match rather than the probability of finding a job. Using a search...

This paper develops an agent-based modelling approach to quantify the impact of COVID-19-induced economic disruptions on household debt and unplanned savings over 2020. We merge data from the Survey of Financial Security and the Survey of Household Spending to construct a representative...

We study the positive and normative implications of labor market policies that counteract the economic fallout from containment measures during an epidemic. We incorporate a standard epidemiological model into an equilibrium search model of the labor market to compare unemployment insurance (UI)...

We study optimal unemployment insurance (UI) policy over the business cycle, using a heterogeneous agent job-search model with aggregate risk and incomplete markets. We validate the model-implied micro and macro labor market elasticities to changes in the generosity of UI benefits against...

The number of workers who hold more than one job (a.k.a. multiple jobholders) has increased recently in Canada. While this seems to echo the view that non-standard work arrangements are becoming pervasive, the increase has in fact been trivial compared with the long-run rise of multiple...

We develop a heterogeneous-agent New Keynesian model featuring a frictional labor market with on-the-job search to quantitatively study the positive and normative implications of employer-to-employer (EE) transitions for inflation. We find that EE dynamics played an important role in shaping the...

We revisit the measurement of the sources and consequences of job displacement using Canadian job separation records. To circumvent administrative data limitations, conventional approaches address selection by identifying displacement effects through mass-layoff separations, which are...

There is a growing literature on the realized volatility (RV) forecasting of asset returns using high-frequency data. We explore the possibility of forecasting RV with factor analysis; once considering the significant jumps. A real high-frequency financial data application suggests that the...