2017
DOI: 10.4054/demres.2017.36.47
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The compositional effects of education and employment on Greek male and female fertility rates during 2000‒2014

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Cited by 16 publications
(13 citation statements)
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“…However, these findings have been mixed, as they have reported notable differences in fertility trends across countries, and among population sub-groups. There is, for example, evidence that a woman's age, educational level, employment and socio-economic status, and number of children are among the variables that influence her childbearing decisions (Bagavos & Tragaki, 2017;Cazzola et al, 2016;Currie & Schwandt, 2014). However, the results regarding the direction of the influence of these variables have been inconclusive.…”
Section: Introductionmentioning
confidence: 99%
“…However, these findings have been mixed, as they have reported notable differences in fertility trends across countries, and among population sub-groups. There is, for example, evidence that a woman's age, educational level, employment and socio-economic status, and number of children are among the variables that influence her childbearing decisions (Bagavos & Tragaki, 2017;Cazzola et al, 2016;Currie & Schwandt, 2014). However, the results regarding the direction of the influence of these variables have been inconclusive.…”
Section: Introductionmentioning
confidence: 99%
“…In this respect, with reference to Greece, Bagavos and Tragaki (2017) showed that the pre-crisis period was characterized by strong differences in fertility rates between employed and non-employed men, but these differences were unimportant among women. After the onset of the crisis, employed women with high education and non-employed women with low education had the highest fertility rates (Bagavos and Tragaki, 2017).…”
Section: The Great Recession and Fertilitymentioning
confidence: 98%
“…Moreover, it is especially during economic recessions that women who are unemployed, inactive, and minimally educated might find parenthood more attractive than facing uncertainty in the labour market (Sobotka et al 2011). In this respect, with reference to Greece, Bagavos and Tragaki (2017) showed that the pre-crisis period was characterized by strong differences in fertility rates between employed and non-employed men, but these differences were unimportant among women. After the onset of the crisis, employed women with high education and non-employed women with low education had the highest fertility rates (Bagavos and Tragaki, 2017).…”
Section: The Great Recession and Fertilitymentioning
confidence: 99%
“…To deal with this problem, we use a mixed standardization and decomposition approach. This approach, which is based on previous studies (Bagavos, Verropoulou, and Tsimbos 2018;Bagavos and Tragaki 2017;Gabrielli, Paterno, and Strozza 2007;Giannantoni and Strozza 2015), allows us to assess how shifts in fertility and population by migration status affect the trends over time in the overall TFR and in the total number of births. It is an 'all other things remaining equal' approach, which, in line with common forms of standardization analysis, quantifies an expected change in the overall level of TFR or in the total number of births.…”
Section: Decomposing the Contribution Of Foreign-born Or Noncitizens mentioning
confidence: 99%