| Title |
Direct and Indirect Effects of Unilateral Divorce Law on Marital Stability
|
|---|---|
| Published in |
Demography, October 2014
|
| DOI | 10.1007/s13524-014-0337-2 |
| Pubmed ID | |
| Authors |
Thorsten Kneip, Gerrit Bauer, Steffen Reinhold |
| Abstract |
Previous research examining the impact of unilateral divorce law (UDL) on the prevalence of divorce has provided mixed results. Studies based on cross-sectional cross-country/cross-state survey data have received criticism for disregarding unobserved heterogeneity across countries, as have studies using country-level panel data for failing to account for possible mediating mechanisms at the micro level. We seek to overcome both shortcomings by using individual-level event-history data from 11 European countries (SHARELIFE) and controlling for unobserved heterogeneity over countries and cohorts. We find that UDL in total increased the incidence of marital breakdown by about 20 %. This finding, however, neglects potential selection effects into marriage. Accordingly, the estimated effect of unilateral divorce laws becomes much larger when we control for age at marriage, which is used as indicator for match quality. Moreover, we find that UDL particularly affects marital stability in the presence of children. |
X Demographics
The data shown below were collected from the profiles of 7 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 States | 4 | 57% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 2% |
| Unknown | 44 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 31% |
| Researcher | 6 | 13% |
| Student > Doctoral Student | 5 | 11% |
| Student > Bachelor | 2 | 4% |
| Lecturer > Senior Lecturer | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 10 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 18 | 40% |
| Economics, Econometrics and Finance | 9 | 20% |
| Psychology | 3 | 7% |
| Nursing and Health Professions | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 11 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 31 December 2014.
All research outputs
#5,976,841
of 22,770,070 outputs
Outputs from Demography
#1,094
of 1,857 outputs
Outputs of similar age
#65,437
of 260,457 outputs
Outputs of similar age from Demography
#12
of 20 outputs
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