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Inter‐temporal and Inter‐industry Effects of Population Ageing: A General Equilibrium Assessment for Canada

2009· article· en· W2154445011 on OpenAlexaffabout
Nabil Annabi, Maxime Fougère, Simon Harvey

Bibliographic record

VenueLabour · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsEmployment and Social Development Canada
Fundersnot available
KeywordsComputable general equilibriumEconomicsPer capitaUnemploymentPercentage pointDemographic economicsPopulation ageingOverlapping generations modelLabour economicsUnemployment rateGeneral equilibrium theoryPopulationDemographic changeEconometricsMacroeconomicsDemography

Abstract

fetched live from OpenAlex

Abstract. This paper examines the inter‐industry and labour market occupational effects of future demographic changes in Canada, using a computable overlapping‐generations model. In addition to the impact of slower labour force growth, the model captures the shift in sectoral composition of final demand of older individuals. The simulation results indicate that the growth in real GDP per capita could decline by nearly one percentage point between 2006 and 2050. The results also suggest that the equilibrium unemployment rate is likely to decline by more than two percentage points in the long run. However, the impact varies significantly at the occupational level.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.898

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.241
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2009
Admission routes2
Has abstractyes

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