If you build it, will they come?: School availability and school enrollment in 21 poor countries
In: Policy research working paper 3340
44 Ergebnisse
Sortierung:
In: Policy research working paper 3340
In: The World Bank Economic Review, Band 22, Heft 1, S. 141-163
SSRN
In: The journal of development studies, Band 43, Heft 5, S. 901-928
ISSN: 1743-9140
In: The journal of development studies: JDS, Band 43, Heft 5, S. 901-928
ISSN: 0022-0388
World Affairs Online
In: World Bank Policy Research Working Paper No. 3794
SSRN
Working paper
In: The journal of human resources, Band 49, Heft 3, S. 663-694
ISSN: 1548-8004
In: Journal of development economics, Band 96, Heft 1, S. 150-157
ISSN: 0304-3878
In: Economic Development and Cultural Change, Band 56, Heft 3, S. 581-617
ISSN: 1539-2988
In: World development: the multi-disciplinary international journal devoted to the study and promotion of world development, Band 34, Heft 6, S. 1099-1128
In: World development: the multi-disciplinary international journal devoted to the study and promotion of world development, Band 34, Heft 6, S. 1099-1128
ISSN: 0305-750X
In: Economics of education review, Band 18, Heft 2, S. 223-239
ISSN: 0272-7757
In: Population and development review, Band 25, Heft 1, S. 85-120
ISSN: 1728-4457
The authors use household survey data from the Demographic and Health Surveys (DHS) from 44 surveys (in 35 countries) to document different patterns in the enrollment and attainment of children from rich and poor households. They overcome the lack of income or expenditure data in the DHS by constructing a proxy for long‐run wealth of the household from the asset information in the surveys, using the statistical technique of principal components. There are three major findings. First, the enrollment profiles of the poor differ across countries but fall into distinctive regional patterns: in some regions the poor reach nearly universal enrollment in first grade, but then drop out in large numbers leading to low attainment (typical of South America), while in other regions the poor never enroll in school (typical of South Asia and Western/Central Africa). Second, there are enormous differences across countries in the "wealth gap," the difference in enrollment and educational attainment of the rich and poor. While in some countries the difference in the median years of school completed of the rich and poor is only a year or two, in other countries the wealth gap in attainment is 9 or 10 years. Third, the attainment profiles can be used as diagnostic tools to suggest issues in the educational system, such as the extent to which low attainment is attributable to physical unavailability of schools.
In: The journal of human resources, Band 51, Heft 2, S. 461-499
ISSN: 1548-8004
In: World Bank Policy Research Working Paper No. 7233
SSRN
Working paper
In: Population and development review, Band 39, Heft 1, S. 1-29
ISSN: 1728-4457
We combine data from 84 Demographic and Health Surveys from 46 countries to analyze trends and socioeconomic differences in adult mortality, calculating mortality based on the sibling mortality reports collected from female respondents aged 15–49. The analysis yields four main findings. First, adult mortality is different from child mortality: while under‐5 mortality shows a definite improving trend over time, adult mortality does not, especially in sub‐Saharan Africa. The second main finding is the increase in adult mortality in sub‐Saharan African countries. The increase is dramatic among those most affected by the HIV/AIDS pandemic. Mortality rates in the highest HIV‐prevalence countries of southern Africa exceed those in countries that experienced episodes of armed conflict. Third, even in sub‐Saharan countries where HIV prevalence is not as high, mortality rates appear to be at best stagnating, and even increasing in several cases. Finally, the main dimension along which mortality appears to differ in the aggregate is by sex. Adult mortality rates in sub‐Saharan Africa have risen substantially higher for men than for women—especially so in the high HIV‐prevalence countries. On the whole, the data do not show large gaps by urban/rural residence or by school attainment.