| Title |
Trajectories of Unintended Fertility
|
|---|---|
| Published in |
Population Research and Policy Review, September 2017
|
| DOI | 10.1007/s11113-017-9443-3 |
| Pubmed ID | |
| Authors |
Sowmya Rajan, S. Philip Morgan, Kathleen Mullan Harris, David Guilkey, Sarah R. Hayford, Karen Benjamin Guzzo |
| Abstract |
Having an unintended birth is strongly associated with the likelihood of having later unintended births. We use detailed longitudinal data from the Add Health Study (N=8,300) to investigate whether a host of measured sociodemographic, personality, and psychosocial characteristics select women into this "trajectory" of unintended childbearing. While some measured characteristics and aspects of the unfolding life course are related to unintended childbearing, explicitly modeling these effects does not greatly attenuate the association of an unintended birth with a subsequent one. Next, we statistically control for unmeasured time invariant covariates that affect all birth intervals, and again find that the association of an unintended birth with subsequent ones remains strong. This persistent, strong association may be the direct result of experiencing an earlier unplanned birth. We propose several mechanisms that might explain this strong association. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 21% |
| Researcher | 3 | 13% |
| Student > Doctoral Student | 2 | 8% |
| Professor | 1 | 4% |
| Other | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 10 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 6 | 25% |
| Economics, Econometrics and Finance | 2 | 8% |
| Psychology | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 07 December 2017.
All research outputs
#13,744,066
of 24,119,703 outputs
Outputs from Population Research and Policy Review
#451
of 662 outputs
Outputs of similar age
#154,276
of 324,207 outputs
Outputs of similar age from Population Research and Policy Review
#5
of 8 outputs
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We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.