Dribe Martin, Breschi Marco, Gagnon Alain, Gauvreau Danielle, Hanson Heidi A., Maloney Thomas N., Mazzoni Stanislao, Molitoris Joseph, Pozzi Lucia, Smith Ken R. et Vézina Hélène. (2017). Socio-economic status and fertility decline : insights from historical transitions in Europe and North America. Population Studies, 71, (1), p. 3-21.
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URL officielle: https://dx.doi.org/doi:10.1080/00324728.2016.12538...
Résumé
The timings of historical fertility transitions in different regions are well understood by demographers, but much less is known regarding their specific features and causes. In the study reported in this paper, we used longitudinal micro-level data for five local populations in Europe and North America to analyse the relationship between socio-economic status and fertility during the fertility transition. Using comparable analytical models and class schemes for each population, we examined the changing socio-economic differences in marital fertility and related these to common theories on fertility behaviour. Our results do not provide support for the hypothesis of universally high fertility among the upper classes in pre-transitional society, but do support the idea that the upper classes acted as forerunners by reducing their fertility before other groups. Farmers and unskilled workers were the latest to start limiting their fertility. Apart from these similarities, patterns of class differences in fertility varied significantly between populations.
Type de document: | Article publié dans une revue avec comité d'évaluation |
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ISSN: | 0032-4728 |
Volume: | 71 |
Numéro: | 1 |
Pages: | p. 3-21 |
Version évaluée par les pairs: | Oui |
Date: | 2017 |
Identifiant unique: | 10.1080/00324728.2016.1253857 |
Sujets: | Sciences sociales et humaines > Sciences humaines > Histoire Sciences sociales et humaines > Sciences sociales > Démographie |
Département, module, service et unité de recherche: | Départements et modules > Département des sciences humaines |
Mots-clés: | fertility transition, socio-economic status, fertility, longitudinal data, innovation, adjustment |
Déposé le: | 08 oct. 2022 14:32 |
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Dernière modification: | 08 oct. 2022 14:32 |
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