Essays on job loss and social stratification in Canada and the United States
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,007 |
| Études des sciences et des technologies | 0,034 | 0,010 |
| Communication savante | 0,009 | 0,002 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».