| Title |
The Effect of Childhood Family Size on Fertility in Adulthood: New Evidence From IV Estimation
|
|---|---|
| Published in |
Demography, December 2016
|
| DOI | 10.1007/s13524-016-0537-z |
| Pubmed ID | |
| Authors |
Sara Cools, Rannveig Kaldager Hart |
| Abstract |
Although fertility is positively correlated across generations, the causal effect of children's experience with larger sibships on their own fertility in adulthood is poorly understood. With the sex composition of the two firstborn children as an instrumental variable, we estimate the effect of sibship size on adult fertility using high-quality data from Norwegian administrative registers. Our study sample is all firstborns or second-borns during the 1960s in Norwegian families with at least two children (approximately 110,000 men and 104,000 women). An additional sibling has a positive effect on male fertility, mainly causing them to have three children themselves, but has a negative effect on female fertility at the same margin. Investigation into mediators reveals that mothers of girls shift relatively less time from market to family work when an additional child is born. We speculate that this scarcity in parents' time makes girls aware of the strains of life in large families, leading them to limit their own number of children in adulthood. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Croatia | 1 | 1% |
| United States | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 65 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 25% |
| Researcher | 13 | 19% |
| Student > Master | 9 | 13% |
| Student > Doctoral Student | 4 | 6% |
| Professor > Associate Professor | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 17 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 22 | 32% |
| Economics, Econometrics and Finance | 14 | 21% |
| Psychology | 3 | 4% |
| Engineering | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 20 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 20 April 2023.
All research outputs
#2,124,366
of 25,089,705 outputs
Outputs from Demography
#570
of 2,025 outputs
Outputs of similar age
#42,570
of 432,814 outputs
Outputs of similar age from Demography
#7
of 21 outputs
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We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.