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Enregistrement W3122373405

Chronic Low Income and Low-income Dynamics Among Recent Immigrants

2007· article· en· W3122373405 sur OpenAlex
Feng Hou, Garnett Picot, Simon Coulombe

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Notice bibliographique

RevueAnalytical Studies Branch Research Paper Series · 2007
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueMigration, Ethnicity, and Economy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImmigrationDemographic economicsEducational attainmentSurvey of Income and Program ParticipationPovertyCensusEconomicsGeographyDemographyEconomic growthSociologyPopulation
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The deteriorating economic outcomes among immigrants entering during the 1980s and 1990s have prompted much public concern and policy debate. In 1993, immigrant selection procedures were further modified to increase immigrants' educational attainment and the share of immigrants in the "skilled" economic class. By 2000, dramatic increases in the educational attainment of entering immigrants and the share in the skilled class were observed. In the face of these and other changes, this research focuses on three issues: (1) whether entering immigrants economic outcomes improved after 2000 (the last date for which we have such information from the census), (2) low-income dynamics among successive cohorts of entering immigrants, including changes in the entry and exit probabilities, and the extent of "chronic" low income among successive cohorts, and, (3) whether rising educational attainment and increasing share in the "skilled" class resulted in improvements in economic outcomes as measured by poverty entry, exit and chronic low income. Based on the Longitudinal Administrative Database (LAD) and the Longitudinal Immigration Database (IMDB) data, we find that low-income rates among recent immigrants deteriorated after 2000. Low-income rates of immigrants during their first full year in Canada reached 3.5 times that of the Canadian born in 2002 and fell to 3.2 times in 2004. These rates were higher than at any time during the 1990s (at around 3.0). However, this rise in low income was concentrated among immigrants who had entered very recently (in Canada one or two years), suggesting an increase in the short-term adjustment problem in the 2000s as compared to the 1990s. The downturn in the technology sector after 2000 might be a partial explanation, as the share of entering immigrants in information technology (IT) and engineering occupations rose dramatically over the 1990s. Among immigrants entering Canada during the 1990s, most experienced low income at some time during their first decade in Canada (about 65%). Most of those entering low income did so in the first year in Canada, when the likelihood of entry was in the 34% to 46% range, depending upon the entering cohort. If immigrants escaped low income in their first year, the likelihood of entry in subsequent years fell dramatically to below 10%. However, as with the Canadian born, many spells of low income are short lived. From 35% to 40% exited low income after one year. In both the raw data and after conditioning on the characteristics of immigrants, poverty dynamics outcomes deteriorated for immigrants entering Canada after 2000-the probability of entry rose, and of exit fell. In order to capture entry, exit and re-entry patterns in a single measure, a "chronic" low-income measure (in low income four of the first five years in Canada) was produced. About one-fifth of immigrants entering Canada during the 1990s found themselves in chronic low income, a rate about 2.5 times

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesÉtudes des sciences et des technologies
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,561
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0020,004
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,049
Tête enseignante GPT0,386
Écart entre enseignants0,337 · 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