| Title |
The Impact of Paternity Leave on Fathers’ Future Earnings
|
|---|---|
| Published in |
Demography, October 2013
|
| DOI | 10.1007/s13524-013-0233-1 |
| Pubmed ID | |
| Authors |
Mari Rege, Ingeborg F. Solli |
| Abstract |
Using Norwegian registry data, we investigate the effect of paternity leave on fathers' long-term earnings. If the paternity leave increased long-term father involvement, then we should expect a reduction in fathers' long-term earnings as they shift time and effort from market to home production. For identification, we use the Norwegian introduction of a paternity-leave quota in 1993, reserving four weeks of the total of 42 weeks of paid parental leave exclusively for the father. The introduction of the paternity-leave quota led to a sharp increase in rates of leave-taking for fathers. We estimate a difference-in-differences model that exploits differences in fathers' exposure to the paternity-leave quota by the child's age and year of observation. Our analysis suggests that four weeks of paternity leave during the child's first year decreases fathers' future earnings, an effect that persists through our last point of observation, when the child is 5 years old. A battery of robustness tests supports our results. |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 20% |
| United States | 3 | 15% |
| Australia | 2 | 10% |
| India | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 90% |
| Scientists | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 170 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 18% |
| Student > Master | 30 | 18% |
| Student > Bachelor | 22 | 13% |
| Researcher | 18 | 11% |
| Student > Doctoral Student | 8 | 5% |
| Other | 24 | 14% |
| Unknown | 39 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 50 | 29% |
| Economics, Econometrics and Finance | 33 | 19% |
| Business, Management and Accounting | 12 | 7% |
| Psychology | 11 | 6% |
| Medicine and Dentistry | 4 | 2% |
| Other | 16 | 9% |
| Unknown | 45 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 171. 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 06 April 2023.
All research outputs
#239,754
of 25,727,480 outputs
Outputs from Demography
#59
of 2,022 outputs
Outputs of similar age
#1,692
of 226,111 outputs
Outputs of similar age from Demography
#2
of 18 outputs
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