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Enregistrement W1535422005

Marriage, Fertility And Divorce: A Dynamic Equilibrium Analysis Of Social Policy In Canada

2000· preprint· en· W1535422005 sur OpenAlexaboutno aff
Nezih Guner, John Knowles

Notice bibliographique

RevueRePEc: Research Papers in Economics · 2000
Typepreprint
Langueen
DomaineDecision Sciences
Thématiquedemographic modeling and climate adaptation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFertilityDemographyMarital statusPovertyAffect (linguistics)Total fertility rateMarriage marketDemographic economicsEconomicsPsychologyPopulationFamily planningSociologyEconomic growth
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Elderly women are much more likely to be poor than the elderly men. In 1992, 15.7 percent of elderly females, those over age 65, were in poverty, in contrast to 8.9 percent of elderly males. A nonmarried women who is on the verge of retirement has about 20 percent less wealth than a nonmarried women. Since women are expected to live about 4 years longer than men at age 65, these wealth differences imply even bigger income differences at older ages. Old men and women differ dramatically in their marital status as well. In 1990, 76.5 percent elderly men were married, while only 41.5 percent of elderly women were. Most of the elderly women, 49 percent, were widows. Some questions naturally arise: Why does elderly men and women differ in their old age incomes? Are these differences simply a result of widowhood or do they reflect differences in labor market experiences of men and women? How will the future of elderly women and men will be effected by the changes in US family structure and female labor for ce participation patterns that took place since 1950s? How do public policies affect the lives of elderly women?US family structure has changed dramatically between 1950 and 1990. As a result of lower marriage rates, doubling of divorce rates and a fourfold increase in the rate of extramarital fertility, the proportion of singleparent households increased nearly three-fold during this period, while the proportion of married-couple households fell to 56% in 1990. Although these changes and their macroeconomic effects have received much attention, there hasn't been any work that focuses on the implications of these changes for the lives of the elderly. The first of the cohorts to come of age during this regime change, however, is now entering their old age, and they will have very different life-cycles than their predecessors. Until now, the majority of single elderly women have been widows. This is certain to change with much more women entering their old age as singles. During their adulthood, they are more likely to experience divorce, single motherhood, remarriage, and redivorce, creating an unprecedented pattern of marital histories.In this paper, we develop a dynamic general equilibrium model of economic interaction among generations in a world characterized by marital instability. Young adults marry, work and invest in their children; old adults live off their savings and human capital accumulated while young. Young women face a trade-off between investment in children and acquiring human capital by working. Before entering old age, marriages may dissolve either through divorce or the death of the husband. The basic goal of the paper is to contribute to the understanding of implications of recent changes in the patterns of marital stability and labor force participation for the future income distribution of the elderly population. Such an exercise will also help us to understand the emergence of marital instability in the US, by comparing the long-run implications of competing explanations. Finally, the project will contribute to the analysis of social policy, both on the intensive margin, by incorporating marital decisions into the an alysis of policy issues, such as transfers to the old and welfare payments to the young, that have already received considerable attention, and on the extensive margin, by identifying policy questions, such as the division of wealth in divorce, that are likely to have a strong impact on the economic status of the elderly.

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 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)0,006
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,507
Score d'incertitude au seuil0,922

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,001
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 Opus0,065
Tête enseignante GPT0,394
Écart entre enseignants0,329 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
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
Publié2000
Routes d'admission1
Résumé présentoui

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