Inter-temporal and Inter-Industry Effects of Population Ageing: A General Equilibrium Assessment for Canada
Bibliographic record
Abstract
Abstract. The objective of this paper is to examine the inter-industry and labour market occupational effects of future demographic changes, using a dynamic general equilibrium overlapping-generations model. The model is calibrated along a balanced-growth path, taking into account labour-augmenting (Harrod-neutral) technical progress. It also accounts for heterogeneity at the household level, using 25 occupation-specific earnings profiles. In addition to the impact of slower labour force growth, the model captures the shift in sectoral composition of final demand. The latter is due to different consumption preferences of older individuals. Moreover, a wage curve is introduced to explore the impact of population ageing on the unemployment rate. The simulation results indicate that the growth in real GDP per capita could decline by nearly one percentage point between 2006 and 2050. Besides, the production of services, in percent of total GDP, is projected to increase in the long-run, although the analysis shows more modest changes in production shares than in previous studies. The results also suggest that the equilibrium unemployment rate is likely to decline by more than 2 percentage points in the long run. The impact also varies quite significantly at the occupational level.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".