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Record W2738760258 · doi:10.1111/coep.12241

EMPLOYMENT EFFECTS OF THE MINIMUM WAGE: PANEL DATA EVIDENCE FROM CANADIAN PROVINCES

2017· article· en· W2738760258 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueContemporary Economic Policy · 2017
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMinimum wageEconomicsInstrumental variablePanel dataOrdinary least squaresWageLabour economicsDemographic economicsImmigrationPrime (order theory)EconometricsGeographyMathematics

Abstract

fetched live from OpenAlex

Recent U.S. studies offer conflicting evidence on minimum wage impacts. This paper studies the effects of 185 amendments to minimum wage on employment rates using panel data across Canadian provinces from 1981 to 2011. Ordinary least squares and instrumental variables ( IV ) estimates imply a 10% increase in minimum wage is associated with a 1%–4% reduction to employment rates for both male and female teens. We also find that an increase in the minimum wage is associated with lower employment of prime‐aged immigrants. Our results are robust to a wide array of IV and the use of controls for spatial heterogeneity. ( JEL J30, J71, J23)

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0020.002
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 head0.189
GPT teacher head0.416
Teacher spread0.227 · 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