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  • 1
    Language: English
    Pages: 1 Online-Ressource (37 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Bold, Tessa What Do Teachers Know and Do? Does It Matter? Evidence from Primary Schools in Africa
    Abstract: School enrollment has universally increased over the past 25 years in low-income countries. However, enrolling in school does not guarantee that children learn. A large share of children in low-income countries learn little, and they complete their primary education lacking even basic reading, writing, and arithmetic skills-the so-called "learning crisis." This paper uses data from nationally representative surveys from seven Sub-Saharan African countries, representing close to 40 percent of the region's total population, to investigate possible answers to this policy failure by quantifying teacher effort, knowledge, and skills. Averaging across countries, the paper finds that students receive two hours and fifty minutes of teaching per day-or just over half the scheduled time. In addition, large shares of teachers do not master the curricula of the students they are teaching; basic pedagogical knowledge is low; and the use of good teaching practices is rare. Exploiting within-student, within-teacher variation, the analysis finds significant and large positive effects of teacher content and pedagogical knowledge on student achievement. These findings point to an urgent need for improvements in education service delivery in Sub-Saharan Africa. They also provide a lens through which the growing experimental and quasi-experimental literature on education in low-income countries can be interpreted and understood, and point to important gaps in knowledge, with implications for future research and policy design
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 2
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource (37 pages)
    Parallel Title: Erscheint auch als Beegle, Kathleen Missing SDG Gender Indicators
    Keywords: Corporate Data and Reporting ; Gender ; Gender and Social Policy ; Gender Equality Goals ; Gender Monitoring and Evaluation ; International Organizations ; Law and Development ; National Statistical System ; Private Sector Development ; Statistical Indicators ; Tracking Gender SDG Goals
    Abstract: The Sustainable Development Goal agenda lays out an ambitious set of 231 indicators to track progress. Countries continue to fall short in terms of reporting on the indicators in general, and this is particularly the case for the subset of 50 gender-related indicators, where countries reported on average on 31 percent of these indicators in at least one year from 2016 to 2020. A closer look at this low coverage reveals four salient fundings. First, this is not just a problem of missing data; lack of reporting on existing data is detected to be a problem. For example, of the 32 gender-related indicators that are sex disaggregated, if countries that had a population estimate also had a sex-disaggregated estimate (which is almost always feasible), the Sustainable Development Goal gender coverage rate would be 43 percent instead of 31 percent. Second, better statistical systems are a major part of the solution, as statistical system strength is correlated with higher coverage. Third, poorer countries are doing no worse in reporting on gender-related Sustainable Development Goal indicators than high-income countries, despite weaker statistical systems. Lastly, sizable over (and under) performance in reporting, conditional on statistical strength, suggests that country-level advocacy and focus can yield wins in Sustainable Development Goal gender indicator coverage
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  • 3
    Language: English
    Pages: 1 Online-Ressource (65 pages)
    Parallel Title: Erscheint auch als Print Version: Azevedo, Joao Pedro Will Every Child be Able to Read by 2030? Defining Learning Poverty and Mapping the Dimensions of the Challenge
    Abstract: In October 2019, the World Bank and UNESCO Institute for Statistics proposed a new metric, Learning Poverty, designed to spotlight low levels of learning and track progress toward ensuring that all children acquire foundational skills. This paper provides the technical background for that indicator, and for its main findings-first, that even before COVID-19, 53 percent of all children in low- and middle-income countries could not read with comprehension by age 10, and second, that at pre-COVID-19 trends, the Learning Poverty rate was on track to fall only to 44 percent by 2030, far short of the universal literacy envisioned under the Sustainable Development Goals. The paper contributes to the literature in four ways. First, it formally describes the new synthetic Learning Poverty metric, which combines the dimensions of learning with schooling and thus reflects the learning of all children, and it presents, for the first time, standard errors associated with the proposed measure. Second, it documents how this indicator is calculated at the country, regional, and global levels, and discusses the robustness associated with different aggregation approaches. Third, it documents historical rates of progress and compares them with the rate of progress that would be required for countries to halve Learning Poverty by 2030, as envisioned under the learning target announced by the World Bank in 2019. Fourth, it provides heterogeneity analysis by gender, region, and other variables, and documents learning poverty's strong correlation with metrics of learning for other ages. These results show that the Learning Poverty indicator, together with improved measurement of learning, can be used as an evidence-based tool to promote progress toward all children reading by age 10-a prerequisite for achieving all the ambitious education aspirations included under Sustainable Development Goals 4
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  • 4
    Language: English
    Pages: 1 Online-Ressource (39 pages)
    Parallel Title: Erscheint auch als Stacy, Brian Missing Evidence: Tracking Academic Data Use around the World
    Keywords: Academia ; Academic Research Article Survey ; Country Data Analysis ; Developing Country Research Study ; Economic Policy, Institutions and Governance ; Macroeconomics and Economic Growth ; Natural Language Processing ; Poverty and Policy ; Poverty Reduction
    Abstract: Data-driven research on a country is key to producing evidence-based public policies. Yet little is known about where data-driven research is lacking and how it could be expanded. This paper proposes a method for tracking academic data use by country of subject, applying natural language processing to open-access research papers. The model's predictions produce country estimates of the number of articles using data that are highly correlated with a human-coded approach, with a correlation of 0.99. Analyzing more than 1 million academic articles, the paper finds that the number of articles on a country is strongly correlated with its gross domestic product per capita, population, and the quality of its national statistical system. The paper identifies data sources that are strongly associated with data-driven research and finds that availability of subnational data appears to be particularly important. Finally, the paper classifies countries into groups based on whether they could most benefit from increasing their supply of or demand for data. The findings show that the former applies to many low- and lower-middle-income countries, while the latter applies to many upper-middle- and high-income countries
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  • 5
    Language: English
    Pages: 1 Online-Ressource (67 pages)
    Parallel Title: Erscheint auch als Print Version: Dang, Hai-Anh H Statistical Performance Indicators and Index: A New Tool to Measure Country Statistical Capacity
    Abstract: The World Bank's Statistical Capacity Index has been widely employed to measure country statistical capacity since its inception two decades ago. This paper builds on the existing advantages of the Statistical Capacity Index, conceptually and empirically, to offer new statistical performance indicators and the Statistical Performance Index, which can better measure a country's statistical performance. The new index has clearer conceptual motivations, employs a stronger mathematical foundation, and significantly expands the number of indicators and countries covered. The paper further provides empirical evidence that illustrates the strong correlation of the new index with other commonly used development indicators of human capital, governance, poverty, and inequality. The framework can accommodate future directions to improve the index as the global data landscape evolves
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  • 6
    Language: English
    Pages: 1 Online-Ressource (72 pages)
    Parallel Title: Erscheint auch als Pullinger, John Reviewing Assessment Tools for Measuring Country Statistical Capacity
    Keywords: Economic Development ; Macroeconomics and Economic Growth ; National Statistical System ; Statistical Capacity ; Statistical Capacity Index ; Statistical Indicators ; Statistical Performance
    Abstract: Country statistical capacity is increasingly recognized as crucial for development, but no academic study exists that reviews the available assessment tools. This paper offers the first review study that fills this gap, paying particular attention to data and practical measurement challenges. It compares the World Bank's recently developed Statistical Performance Indicators and Index with other widely used indexes, such as the Open Data Inventory index, the Global Data Barometer index, and other regional and self-assessment tools. The findings show that each index brings advantages in data sources, number of indicators, measurement focus, coverage of countries and time periods, and correlation with common development indexes. The Open Data Inventory index covers the most countries, the Global Data Barometer index collects data through its surveys, and the Statistical Performance Indicators and Index offer a broader framework for assessing statistical systems. The paper offers further thoughts on the potential mechanisms through which these tools can bring positive impacts on economic activities and some political economy concerns, as well as future directions for development
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