Related Experiment Video
Updated: Aug 30, 2025

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
Published on: June 16, 2018
Predicted Earnings Losses from Graduating during COVID-19
Derek Messacar1, Tomasz Handler2, Marc Frenette2
1Social Analysis and Modelling Division, Statistics Canada, Ottawa, Ontario, Canada, and Department of Economics, Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada.
Abstract:
Poor labour market conditions at the start of a worker's career can result in earnings losses for many years. The 2021 cohort of Canadian high school and post-secondary students have seen employment prospects diminish amid economic lockdowns to contain the spread of coronavirus disease 2019 (COVID-19). The goal of this article is to predict earnings losses for this cohort. We use Census of Population data to show that a 1 percent increase in unemployment at the time of graduation leads to a 1.5-4 percent average decrease in earnings. Then, using unemployment rate forecasts from various sources, we predict how this year's graduating class is expected to fare. Our approach assumes previous recessions are informative about the effects of the current recession. We estimate that a typical 2021 graduate loses 5-12 percent of the amount they would have earned over the first few years if the pandemic had not occurred.
More Related Videos
09:55Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
Published on: September 28, 2022
04:12Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
Published on: June 23, 2023
Related Concept Videos
Minor Losses in Pipes
Valves play a significant role in generating minor losses by obstructing or redirecting the fluid flow. When a valve is closed or partially closed, it restricts the flow...
Reliability and Validity
Residuals and Least-Squares Property
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
Hindsight Biases
Margin of Error
Major Losses in Pipes
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to...