The Pandemic and Short-Run Changes in Output, Hours Worked and Labour Productivity: Canadian Evidence by Industry
Bibliographic record
Abstract
The official measure of Canadian labour productivity rose by about 15 per cent (not annualized) during the first two quarters of 2020, reflecting a decline in total hours worked that exceeded an exceptional decline in output. We analyze this short-run change using monthly data disaggregated to 87 industries, focusing for analytical reasons on changes from April 2018 to April 2020 and August 2018 to August 2020. Just over one-fifth of the April labour productivity increase, and just under three-fifths of the smaller August increase, can be associated with the changing hours composition across industries. Estimated indices for the feasibility of working from home, the degree of worker health (COVID) risk, and the extent workers in the industry are customer-facing are not associated with the short-run changes in labour productivity by industry. However, there is clear evidence that industries with high work from home index values tended to have smaller reductions in output and hours.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".