| Title |
Partners’ Educational Pairings and Fertility Across Europe
|
|---|---|
| Published in |
Demography, June 2018
|
| DOI | 10.1007/s13524-018-0681-8 |
| Pubmed ID | |
| Authors |
Natalie Nitsche, Anna Matysiak, Jan Van Bavel, Daniele Vignoli |
| Abstract |
We provide new evidence on the education-fertility relationship by using EU-SILC panel data on 24 European countries to investigate how couples' educational pairings predict their childbearing behavior. We focus on differences in first-, second-, and third-birth rates among couples with varying combinations of partners' education. Our results show important differences in how education relates to parity progressions depending on the education of the partner. First, highly educated homogamous couples show a distinct childbearing behavior in most country clusters. They tend to postpone the first birth most and display the highest second- and third-birth rates. Second, contrary to what may be expected based on the "new home economics" approach, hypergamous couples with a highly educated male and a lower-educated female partner display among the lowest second-birth transitions. Our findings underscore the relevance of interacting both partners' education for a better understanding of the education-fertility relationship. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 20% |
| Pakistan | 1 | 10% |
| Austria | 1 | 10% |
| Germany | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| United Kingdom | 1 | 1% |
| Italy | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 93 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 22% |
| Researcher | 11 | 11% |
| Student > Master | 10 | 10% |
| Professor | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Other | 15 | 15% |
| Unknown | 28 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 48 | 49% |
| Economics, Econometrics and Finance | 11 | 11% |
| Psychology | 3 | 3% |
| Medicine and Dentistry | 2 | 2% |
| Nursing and Health Professions | 2 | 2% |
| Other | 2 | 2% |
| Unknown | 29 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 September 2023.
All research outputs
#4,113,260
of 24,541,341 outputs
Outputs from Demography
#919
of 2,002 outputs
Outputs of similar age
#75,718
of 334,262 outputs
Outputs of similar age from Demography
#21
of 29 outputs
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