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Essays on job loss and social stratification in Canada and the United States

2016· dissertation· en· W7009678446 sur OpenAlexaboutno aff

Notice bibliographique

RevueeScholarship@McGill (McGill) · 2016
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueAstrophysics and Cosmic Phenomena
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésJob lossRentingPovertyGeocodingAccommodationGeographic mobilitySpatial mismatchSurvey data collectionLabor mobility
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Job loss is an ever-present feature of North American labor markets. Each year, employers eliminate positions, close down branches, or even go out of business as part of routine business decisions. In recent decades, even in times of economic expansion rates of job loss have persisted across a wide range of demographic and labor market groups. This dissertation examines the fluctuations in life people face after losing a job in Canada and the United States. In the first paper I study the relationship between job loss and geographic mobility in Canada. Moving is one way individuals may respond to being laid off, either to relocate to cheaper housing or in search of work. Using data from the 1996-2010 Survey of Labour and Income Dynamics, I find that job loss is associated with both short-distance residential mobility and long-distance migration, and triggers selective neighborhood mobility. The findings establish job loss as a key life course transition motivating residential mobility and long-distance migration in Canada, and as an event that initiates entry into high poverty neighborhoods.The second paper explores to what extent job loss triggers geographic mobility in the United States in the period leading up to the Great Recession. Drawing on geocoded data from the 2003-2007 Panel Study of Income Dynamics, I find that being laid off increases the likelihood of both short- and long-distance moves. Job loss also interrupts the housing career: individuals who lose a job are more than twice as likely as people who remain stably employed to transition from owning to renting a home. For those who began as renters, job loss is associated with a decreased likelihood of making a move into homeownership. Finally, being laid off is associated with selection into a high-poverty census tract for those who lived in a lower poverty tract in the previous wave. The third and final paper examines the short-term income trajectories of displaced workers in the U.S. and Canada. Using data from the 1996-2012 U.S. Survey of Income and Program Participation and Canadian Survey of Labour and Income Dynamics I assess to what extent displaced workers experience changes in four important measures of financial well-being: earnings, individual income, pre-tax and transfer household income, and after-tax and transfer household income. Comparing these income sources elucidates the role of labor markets, families, and social safety net programs in determining income mobility following job loss. Results show that in both countries displaced workers experience earnings losses. I further find that total household income falls following displacement, but this deterioration is mitigated by receipt of transfer payments. While the post-tax and transfer income losses in the two countries are similar, the welfare state plays a larger role of replacing income in Canada, as individuals experience larger earnings losses.Taken together, this research elucidates the social and economic consequences of job loss in North America. The first two papers provide novel evidence on the range of geographic mobility people undertake following a job loss by considering not only long-distance migration but also short-distance residential mobility and the outcomes of moves, including exposure to neighborhood poverty and transitions in homeownership. The results indicate that many moves are undertaken locally and often involve losing out on neighborhood quality or homeownership, which may ultimately compound the financial hardships associated with job loss. The third paper is one of the first to evaluate the economic consequences of job displacement, specifically, in comparative perspective. In doing so, I demonstrate how national institutions shape the experience of job loss.

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)0,002
score de la tête « metaresearch » (Gemma)0,006
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,097
Score d'incertitude au seuil0,704

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,007
Études des sciences et des technologies0,0340,010
Communication savante0,0090,002
Science ouverte0,0020,003
Intégrité de la recherche0,0030,005
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 Opus0,007
Tête enseignante GPT0,205
Écart entre enseignants0,198 · 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

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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