How Many Children? A Comparison of the Influence of Individual and Country-Level Predictors on Female Childbearing Behavior in 25 OECD Countries
Utilizing a multi-level analytic approach (HLM), the present study analyzes reasons for variations in the number of children among 4069 25- to 34-year old women in 25 OECD countries, surveyed in the World Value Survey (WVS). Educational attainment, household income, age, and pro-child attitudes wer...
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| Format: | Article |
| Language: | ell |
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National Documentation Center
2020-10-01
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| Series: | Ψυχολογία: το Περιοδικό της Ελληνικής Ψυχολογικής Εταιρείας |
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| Online Access: | https://ejournals.epublishing.ekt.gr/index.php/psychology/article/view/23807 |
| _version_ | 1818477300854816768 |
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| author | MANDY BOEHNKE MICHAEL FELDHAUS |
| author_facet | MANDY BOEHNKE MICHAEL FELDHAUS |
| author_sort | MANDY BOEHNKE |
| collection | DOAJ |
| description |
Utilizing a multi-level analytic approach (HLM), the present study analyzes reasons for variations in the number of children among 4069 25- to 34-year old women in 25 OECD countries, surveyed in the World Value Survey (WVS). Educational attainment, household income, age, and pro-child attitudes were included as individual-level predictors, whereas on the country-level, individualism and masculinity (as conceptualized by Hofstede), the Human Development Index (HDI), marriages rates, female employment rates, and early childcare
enrolment rates were used as predictors. On the individual level, pro-child attitudes and age covaried positively with number of children, educational attainment did so negatively, whereas household income
was unrelated. Beyond the overall finding that more highly educated women have fewer children, analyses revealed that the impact of education on fertility varies significantly between countries. Of the macro-level indicators, HDI had the strongest impact in that women in countries higher on HDI have fewer children. Country-specific individualism predicted individual number of children positively after partialing for HDI. This result was, however, not sustained, once female employment rates were included in the prediction model: Against age-old folklore convictions, 25- to 34-year-old woman in countries with a high female employment rate have more not fewer children.
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| first_indexed | 2024-12-10T09:36:18Z |
| format | Article |
| id | doaj.art-2793874c9a60421abfe182b864722164 |
| institution | Directory Open Access Journal |
| issn | 1106-5737 2732-6640 |
| language | ell |
| last_indexed | 2024-12-10T09:36:18Z |
| publishDate | 2020-10-01 |
| publisher | National Documentation Center |
| record_format | Article |
| series | Ψυχολογία: το Περιοδικό της Ελληνικής Ψυχολογικής Εταιρείας |
| spelling | doaj.art-2793874c9a60421abfe182b8647221642022-12-22T01:54:10ZellNational Documentation CenterΨυχολογία: το Περιοδικό της Ελληνικής Ψυχολογικής Εταιρείας1106-57372732-66402020-10-0116210.12681/psy_hps.23807How Many Children? A Comparison of the Influence of Individual and Country-Level Predictors on Female Childbearing Behavior in 25 OECD CountriesMANDY BOEHNKEMICHAEL FELDHAUS Utilizing a multi-level analytic approach (HLM), the present study analyzes reasons for variations in the number of children among 4069 25- to 34-year old women in 25 OECD countries, surveyed in the World Value Survey (WVS). Educational attainment, household income, age, and pro-child attitudes were included as individual-level predictors, whereas on the country-level, individualism and masculinity (as conceptualized by Hofstede), the Human Development Index (HDI), marriages rates, female employment rates, and early childcare enrolment rates were used as predictors. On the individual level, pro-child attitudes and age covaried positively with number of children, educational attainment did so negatively, whereas household income was unrelated. Beyond the overall finding that more highly educated women have fewer children, analyses revealed that the impact of education on fertility varies significantly between countries. Of the macro-level indicators, HDI had the strongest impact in that women in countries higher on HDI have fewer children. Country-specific individualism predicted individual number of children positively after partialing for HDI. This result was, however, not sustained, once female employment rates were included in the prediction model: Against age-old folklore convictions, 25- to 34-year-old woman in countries with a high female employment rate have more not fewer children. https://ejournals.epublishing.ekt.gr/index.php/psychology/article/view/23807Hierarchical Linear ModelingFertilityAttitudes |
| spellingShingle | MANDY BOEHNKE MICHAEL FELDHAUS How Many Children? A Comparison of the Influence of Individual and Country-Level Predictors on Female Childbearing Behavior in 25 OECD Countries Ψυχολογία: το Περιοδικό της Ελληνικής Ψυχολογικής Εταιρείας Hierarchical Linear Modeling Fertility Attitudes |
| title | How Many Children? A Comparison of the Influence of Individual and Country-Level Predictors on Female Childbearing Behavior in 25 OECD Countries |
| title_full | How Many Children? A Comparison of the Influence of Individual and Country-Level Predictors on Female Childbearing Behavior in 25 OECD Countries |
| title_fullStr | How Many Children? A Comparison of the Influence of Individual and Country-Level Predictors on Female Childbearing Behavior in 25 OECD Countries |
| title_full_unstemmed | How Many Children? A Comparison of the Influence of Individual and Country-Level Predictors on Female Childbearing Behavior in 25 OECD Countries |
| title_short | How Many Children? A Comparison of the Influence of Individual and Country-Level Predictors on Female Childbearing Behavior in 25 OECD Countries |
| title_sort | how many children a comparison of the influence of individual and country level predictors on female childbearing behavior in 25 oecd countries |
| topic | Hierarchical Linear Modeling Fertility Attitudes |
| url | https://ejournals.epublishing.ekt.gr/index.php/psychology/article/view/23807 |
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