| Title |
Family Income and Child Cognitive and Noncognitive Development in Australia: Does Money Matter?
|
|---|---|
| Published in |
Demography, April 2016
|
| DOI | 10.1007/s13524-016-0466-x |
| Pubmed ID | |
| Authors |
Rasheda Khanam, Son Nghiem |
| Abstract |
This article investigates whether family income affects children's cognitive and noncognitive development by exploiting comprehensive information from the Longitudinal Study of Australian Children. We include variables that represent parental investment, parental stress, and neighborhood characteristics to examine if these factors mediate the effects of income. Using dynamic panel data, we find that family income is significantly associated with children's cognitive skills but not with noncognitive skills. Mother's education, parent's physical and mental health, parenting styles, child's own health, and presence of both biological parents are the most important factors for children's noncognitive development. For cognitive development, income as well as parents' education, child's birth weight, and number of books that children have at home are highly significant factors. We also find strong evidence to support the skill formation theory that children's previous cognitive and noncognitive outcomes are significantly related to their current outcomes. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 1 | 17% |
| Germany | 1 | 17% |
| Canada | 1 | 17% |
| Australia | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 180 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 14% |
| Student > Bachelor | 20 | 11% |
| Student > Master | 19 | 11% |
| Researcher | 16 | 9% |
| Student > Doctoral Student | 11 | 6% |
| Other | 23 | 13% |
| Unknown | 65 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 36 | 20% |
| Psychology | 19 | 11% |
| Medicine and Dentistry | 15 | 8% |
| Economics, Econometrics and Finance | 13 | 7% |
| Nursing and Health Professions | 7 | 4% |
| Other | 15 | 8% |
| Unknown | 75 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 26 April 2018.
All research outputs
#4,497,472
of 24,967,663 outputs
Outputs from Demography
#974
of 2,022 outputs
Outputs of similar age
#64,709
of 305,255 outputs
Outputs of similar age from Demography
#10
of 16 outputs
Altmetric has tracked 24,967,663 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,022 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has gotten more attention than average, scoring higher than 51% of its peers.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.