| Title |
Do Targeted Stipend Programs Reduce Gender and Socioeconomic Inequalities in Schooling Attainment? Insights From Rural Bangladesh
|
|---|---|
| Published in |
Demography, October 2015
|
| DOI | 10.1007/s13524-015-0435-9 |
| Pubmed ID | |
| Authors |
Julia Andrea Behrman |
| Abstract |
Social investment in schooling in low-income countries has increased greatly in the 1990s and 2000s because of the robust associations among schooling and demographic, economic, and health outcomes. This analysis investigates whether targeted school-attendance stipend programs succeeded in reducing gender and socioeconomic inequalities in school attainment among a sample of the rural poor in Bangladesh. Multivariate analyses find that targeted stipend programs helped to reduce the gender attainment gap. Females had an increased probability of participating in stipend programs, and returns to stipend participation were significantly higher for females. However, stipend programs failed to reduce the relative achievement gap between children of different socioeconomic backgrounds: low socioeconomic status (SES) was associated with a decreased probability of stipend participation, and stipend-related schooling gains for lower-SES females were matched by comparable gains for higher-SES females. Meanwhile, there was no significant association between stipend participation and schooling attainment for males. |
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 % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 2% |
| Unknown | 41 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 17% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Master | 5 | 12% |
| Researcher | 4 | 10% |
| Professor | 4 | 10% |
| Other | 9 | 21% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 14 | 33% |
| Economics, Econometrics and Finance | 5 | 12% |
| Unspecified | 4 | 10% |
| Nursing and Health Professions | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 7 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 September 2019.
All research outputs
#6,244,921
of 22,842,950 outputs
Outputs from Demography
#1,115
of 1,857 outputs
Outputs of similar age
#76,157
of 277,525 outputs
Outputs of similar age from Demography
#11
of 17 outputs
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