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Erschienen in: Demography 3/2013

01.06.2013

A Sibling Death in the Family: Common and Consequential

verfasst von: Jason Fletcher, Marsha Mailick, Jieun Song, Barbara Wolfe

Erschienen in: Demography | Ausgabe 3/2013

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Abstract

Although a large literature analyzes the determinants of child mortality and suggests policy and medical interventions aimed at its reduction, there is little existing analysis illuminating the consequences of child mortality for other family members. In particular, there is little evidence exploring the consequences of experiencing the death of a sibling on one’s own development and transition to adulthood. This article examines the prevalence and consequences of experiencing a sibling death during one’s childhood using two U.S. data sets. We show that even in a rich developed country, these experiences are quite common, affecting between 5 % and 8 % of the children with one or more siblings in our two data sets. We then show that these experiences are associated with important reductions in years of schooling as well as a broad range of adult socioeconomic outcomes. Our findings also suggest that sisters are far more affected than brothers and that the cause of death is an important factor in sibling effects. Overall, our findings point to important previously unexamined consequences of child mortality, adding to the societal costs associated with childhood mortality as well as suggesting additional benefits from policy and medical innovations aimed at curbing both such deaths and subsequent effects on family members.

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Fußnoten
1
See Udry (2003) for a full description of the Add Health data set.
 
2
“How many brothers and sisters do you have, both living and deceased? Include biologically related, adoptive, and step-brothers or -sisters.”
 
3
In both our WLS analysis and the Add Health sample, we focus on “well children” as the focal individual and exclude those who have a developmental disability or major mental illness in order to isolate the influence of the death of a sibling. Were we to include surviving children with a disability, we would not fully know the causal factors in their adult outcomes.
 
4
The number of sibling deaths is reduced from the full sample because we focus attention on deaths of biological siblings.
 
5
Although this is a nationally representative sample of 7th- to 12th-graders from 1994–1995, because the data were collected at schools rather than households, this sample contains fewer dropouts than samples drawn from households. College attendance includes any postsecondary school attendance, including vocational schools and two-year colleges.
 
6
The screener questions began by asking parents whether any of their children (living or deceased) had an intellectual or a developmental disability, or a severe mental illness, and then the specific diagnosis. In the few cases in which parents did not know the specific diagnosis given to their child, they did indicate that their child had disabilities; branching follow-up questions were asked to confirm the validity of the designation of having a DD or major MI (available from authors).
 
7
Note that this information is not available in the Add Health data.
 
8
One might argue against including any individual with a disability in the analysis. We do not do this because some of these conditions are temporary, may be the result of experiencing a sibling death (e.g., depressive symptoms), and are also likely unreported if they occur during years in which there is no survey. We thus include everyone unless they have an identified DD or major MI but do add a control for other disabilities when reported.
 
9
We explored the issue of selective attrition in WLS by comparing attrition of those who had experienced a child’s death by 1992 with those who had not. For the 2004 sample, 83.5 % of those who had experienced a child’s death are included in the sample compared with 83.1 % of those who had not, thus providing evidence that there is no selective attrition according to experiencing the death of a child.
 
10
To investigate the predictors of death of children, we analyzed the data of WLS respondents who had at least one child and completed the 2004 survey; for Add Health, we analyzed the sample of individuals who completed the Wave 4 survey, when the mortality status of siblings was asked.
 
11
Recall that those with identified DD and MI are excluded from the analysis.
 
12
The only result that differs substantially across the two data sets is own age, but this may reflect a wider disparity in ages in WLS.
 
13
The WLS contains information about the high school IQ score of the respondent (i.e., the parent of the child who died and his or her surviving sibling(s)). Thus, this variable reflects the IQ score of the parent who participated in the WLS.
 
14
The Add Health Picture Vocabulary Test (AHPVT) is a computerized, abridged version of the Peabody Picture Vocabulary Test-Revised (PPVT-R). The AHPVT is a test of hearing vocabulary, designed for persons aged 2.5 to 40 years old who can see and hear reasonably well and who understand standard English to some degree. The test scores are standardized by age. Some psychologists interpret PVT scores as a measure of verbal IQ. Information on the test is provided online (http://​www.​cpc.​unc.​edu/​projects/​addhealth/​files/​w3cdbk/​w3doc.​zip).
 
15
The question asks, “Between {1995/2002} and {2006/2007/2008}, did you or others in your household receive any public assistance, welfare payments, or food stamps?”
 
16
The data would allow us to separate accidents from suicide, but because parents may report a suicide as an accident, we chose to combine them.
 
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Metadaten
Titel
A Sibling Death in the Family: Common and Consequential
verfasst von
Jason Fletcher
Marsha Mailick
Jieun Song
Barbara Wolfe
Publikationsdatum
01.06.2013
Verlag
Springer US
Erschienen in
Demography / Ausgabe 3/2013
Print ISSN: 0070-3370
Elektronische ISSN: 1533-7790
DOI
https://doi.org/10.1007/s13524-012-0162-4

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