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Enregistrement W299474516

Unequal Inequality: The Distribution of Individuals' Earnings by Province *

2001· article· en· W299474516 sur OpenAlexvenueaboutno aff
Ross Finnie

Notice bibliographique

RevueCanadian Journal of Regional Science · 2001
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueRegional Economic and Spatial Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEarningsInequalityDemographic economicsDistribution (mathematics)Economic inequalityGovernment (linguistics)EconomicsIncome distributionInvestment (military)PoliticsPolitical science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Abstracts: Unequal Inequality: The Distribution of Individuals' Earnings by Province. This paper presents the results of an empirical analysis of earnings at the provincial level based on the recently available Longitudinal Administrative Database. The paper addresses the following questions: Are there significant differences in earnings by province? What are the patterns of any such differences, such as along regional lines or with respect to income levels? Were there any important shifts in the level of at the national level or in the patterns by province over the 1982-94 period covered by the analysis? Do the provincial patterns change when is measured using earnings averaged over several years--that is, taking earnings mobility into account--or when other income measures are employed, such as when self-employment, professional, or investment income, or government transfers, are included, or when taxes are deducted? Entrenched in the Canadian political-economi c-social psyche is the notion of and provinces, but the results reported here should allow us to now also speak in terms of inequality and less inequality provinces. Policy implications are discussed. ********** Thanks to a substantial accumulation of research, we now know a good deal about earnings in Canada in terms of its overall level, the sub-group patterns (e.g., by age, sex and level of education), and the shifts which have occurred over time.' There is, however, one area in which our understanding is virtually nil: earnings at the provincial level. (2) The contribution of this paper is to report the results of an empirical analysis of earnings at the provincial level over the 1982-1994 period based on the recently available Longitudinal Administrative Database. The paper addresses the following questions: * Were there significant differences in earnings by province over this period? If so, were there any clear tendencies along regional lines or any other provincial characteristics, such as industrial base or income levels (i.e., the richer versus poorer provinces)? * Were the patterns consistent across age-sex groups? For example, in provinces where there was greater among men, were women's earnings also more unequally distributed? Related to this, were the provincial differences at the aggregate level due to common patterns across all age-sex groups or due to composition (i.e., different proportions of lower/higher age-sex groups across the provinces)? * Were there any significant shifts in earnings at the national level or in the provincial patterns over the period covered by the analysis? In particular, was there convergence (with reductions in in the high provinces and increases in the low provinces), increased divergence, or were the changes more idiosyncratic than to allow for such broad characterisations? * Do the patterns change when is measured using earnings averaged over several years at the individual level--that is, taking earnings mobility into account? * What are the patterns when other income measures are considered, such as when other sources of market income and transfers are included, or when taxes are subtracted out? The results presented here thus provide an empirical view of labour market outcomes at the provincial level which should add to our general understanding of work and pay in Canada and also provide evidence on the effects of adding other income sources and taxes to the distribution of final incomes in each province. The paper thus furnishes new information on the regional nature of labour markets in Canada, a topic addressed at the international level in OECD (2000). Furthermore, this comes in a context where it is not obvious what the expected patterns would be. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,576
Score d'incertitude au seuil0,843

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,006
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,213
Écart entre enseignants0,181 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2001
Routes d'admission2
Résumé présentoui

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Même revueCanadian Journal of Regional ScienceMême sujetRegional Economic and Spatial AnalysisTravaux en français237 207