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| 2. |
- Bergh, Andreas, et al.
(författare)
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Higher education policy, enrollment, and income inequality
- 2008
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Ingår i: Social Science Quarterly. - : Wiley. - 1540-6237 .- 0038-4941. ; 89:1, s. 217-235
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Tidskriftsartikel (refereegranskat)abstract
- Objective. The objective of this article is to examine whether public expenditure on higher education has an effect on income inequality by increasing enrollment. Methods. Combining data from the World Bank Development Indicators with data from the World Income Inequality Database version 2, we study the relation between government education expenditure and enrollment rates, as well as the relation between government education expenditure and the change in income inequality during the 1980s and the 1990s. Results. We find that public expenditure on higher education has no positive effect on enrollment. Increased enrollment is mainly explained by higher GDP per capita. Using carefully selected Gini coefficients to ensure comparability over time, we do not find a robust relation between higher education expenditure and lower income inequality, contrary to some previous studies. Conclusions. Government expenditure on higher education has very limited effects on enrollment and inequality. This finding, however, does not imply that there are no social benefits from such subsidies. For example, in countries where high marginal tax rates decrease the economic returns to education, governments may wish to compensate for this through subsidies.
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| 3. |
- Boggs, Dorothy, et al.
(författare)
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Rating early child development outcome measurement tools for routine health programme use
- 2019
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Ingår i: Archives of Disease in Childhood. - : BMJ Publishing Group Ltd. - 0003-9888 .- 1468-2044. ; 104, s. S22-S33
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Tidskriftsartikel (refereegranskat)abstract
- Background Identification of children at risk of developmental delay and/or impairment requires valid measurement of early child development (ECD). We systematically assess ECD measurement tools for accuracy and feasibility for use in routine services in low-income and middle-income countries (LMIC). Methods Building on World Bank and peer-reviewed literature reviews, we identified available ECD measurement tools for children aged 0-3 years used in >= 1 LMIC and matrixed these according to when (child age) and what (ECD domains) they measure at population or individual level. Tools measuring <2 years and covering >= 3 developmental domains, including cognition, were rated for accuracy and feasibility criteria using a rating approach derived from Grading of Recommendations, Assessment, Development and Evaluations. Results 61 tools were initially identified, 8% (n=5) population-level and 92% (n=6) individual-level screening or ability tests. Of these, 27 tools covering >= 3 domains beginning <2 years of age were selected for rating accuracy and feasibility. Recently developed population-level tools (n=2) rated highly overall, particularly in reliability, cultural adaptability, administration time and geographical uptake. Individual-level tool (n=25) ratings were variable, generally highest for reliability and lowest for accessibility, training, clinical relevance and geographical uptake. Conclusions and implications Although multiple measurement tools exist, few are designed for multidomain ECD measurement in young children, especially in LMIC. No available tools rated strongly across all accuracy and feasibility criteria with accessibility, training requirements, clinical relevance and geographical uptake being poor for most tools. Further research is recommended to explore this gap in fit-for-purpose tools to monitor ECD in routine LMIC health services.
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| 4. |
- Boggs, Dorothy, et al.
(författare)
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Rating early child development outcome measurement tools for routine health programme use.
- 2019
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Ingår i: Archives of disease in childhood. - : BMJ. - 1468-2044 .- 0003-9888. ; 104:Suppl 1, s. S22-S33
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Forskningsöversikt (refereegranskat)abstract
- Identification of children at risk of developmental delay and/or impairment requires valid measurement of early child development (ECD). We systematically assess ECD measurement tools for accuracy and feasibility for use in routine services in low-income and middle-income countries (LMIC).Building on World Bank and peer-reviewed literature reviews, we identified available ECD measurement tools for children aged 0-3 years used in ≥1 LMIC and matrixed these according to when (child age) and what (ECD domains) they measure at population or individual level. Tools measuring <2 years and covering ≥3 developmental domains, including cognition, were rated for accuracy and feasibility criteria using a rating approach derived from Grading of Recommendations, Assessment, Development and Evaluations.61 tools were initially identified, 8% (n=5) population-level and 92% (n=56) individual-level screening or ability tests. Of these, 27 tools covering ≥3 domains beginning <2 years of age were selected for rating accuracy and feasibility. Recently developed population-level tools (n=2) rated highly overall, particularly in reliability, cultural adaptability, administration time and geographical uptake. Individual-level tool (n=25) ratings were variable, generally highest for reliability and lowest for accessibility, training, clinical relevance and geographical uptake.Although multiple measurement tools exist, few are designed for multidomain ECD measurement in young children, especially in LMIC. No available tools rated strongly across all accuracy and feasibility criteria with accessibility, training requirements, clinical relevance and geographical uptake being poor for most tools. Further research is recommended to explore this gap in fit-for-purpose tools to monitor ECD in routine LMIC health services.
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| 5. |
- Egger, Dennis, et al.
(författare)
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Falling living standards during the COVID-19 crisis : Quantitative evidence from nine developing countries
- 2021
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Ingår i: Science Advances. - : American Association for the Advancement of Science (AAAS). - 2375-2548. ; 7:6
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Tidskriftsartikel (refereegranskat)abstract
- Despite numerous journalistic accounts, systematic quantitative evidence on economic conditions during the ongoing COVID-19 pandemic remains scarce for most low- and middle-income countries, partly due to limitations of official economic statistics in environments with large informal sectors and subsistence agriculture. We assemble evidence from over 30,000 respondents in 16 original household surveys from nine countries in Africa (Burkina Faso, Ghana, Kenya, Rwanda, Sierra Leone), Asia (Bangladesh, Nepal, Philippines), and Latin America (Colombia). We document declines in employment and income in all settings beginning March 2020. The share of households experiencing an income drop ranges from 8 to 87% (median, 68%). Household coping strategies and government assistance were insufficient to sustain precrisis living standards, resulting in widespread food insecurity and dire economic conditions even 3 months into the crisis. We discuss promising policy responses and speculate about the risk of persistent adverse effects, especially among children and other vulnerable groups.
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