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  • 1
    Language: English
    Pages: 1 Online-Ressource (47 pages)
    Parallel Title: Erscheint auch als Print Version: van der Weide, Roy Intergenerational Mobility around the World
    Abstract: Using individual data from over 400 surveys, this paper compiles a global database of intergenerational mobility in education for 153 countries covering 97 percent of the world's population. For 87 percent of the world's population, it provides trends in intergenerational mobility for individuals born between 1950 to 1989. The findings show that absolute mobility in education-the share of respondents that obtains higher levels of education than their parents-is higher in the developed world despite the higher levels of parental educational attainment. Relative mobility-measuring the degree of independence between parent and child years of schooling-is also found to be greater in the developed world. Together, these findings point to severe challenges in intergenerational mobility in the poorest parts of the world. Beyond national income levels, the paper explores the correlation between intergenerational mobility and a variety of country characteristics. Countries with higher rates of mobility have (i) higher tax revenues and rates of government expenditures, especially on education; (ii) better child health indicators (less stunting and lower infant mortality); (iii) higher school quality (more teachers per pupil and fewer school dropouts); and (iv) less residential segregation
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  • 2
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Other papers
    Abstract: The September 2019 global poverty update from the World Bank includes revised survey data which lead to minor changes in the most recent global poverty estimates. The update includes revisions to 18 surveys from four countries. As a result of the revised data, the estimate of the global 1.90 US Dollars headcount ratio for 2015 increases slightly from 9.94 percent to 9.98 percent, whereas the number of poor increases from 731.0 million to 734.5 million people
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  • 3
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Other Poverty Study
    Abstract: The March 2020 update to PovcalNet involves several changes to the data underlying the global poverty estimates. Some welfare aggregates have been changed for improved harmonization, and some of the CPI, national accounts, and population input data have been revised. This document explains these changes in detail and the reasoning behind them. In addition to the changes listed here, a large number of new country-years have been added, bringing the total number of surveys to more than 1,900
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  • 4
    Language: English
    Pages: 1 Online-Ressource (30 pages)
    Parallel Title: Erscheint auch als Print Version: Jolliffe, Dean Under what Conditions are Data Valuable for Development?
    Keywords: Development Data ; Economic Theory and Research ; Information and Communication Technologies ; Information Technology ; Macroeconomics and Economic Growth ; Public Sector Development ; Public Service Delivery ; Statistical and Mathematical Sciences ; Statistics
    Abstract: Data produced by the public sector can have transformational impacts on development outcomes through better targeting of resources, improved service delivery, cost savings in policy implementation, increased accountability, and more. Around the world, the amount of data produced by the public sector is increasing at a rapid pace, yet their transformational impacts have not been realized fully. Why has the full value of these data not been realized yet This paper outlines 12 conditions needed for the production and use of public sector data to generate value for development and presents case studies substantiating these conditions. The conditions are that data need to have adequate spatial and temporal coverage (are complete, frequent, and timely), are of high quality (are accurate, comparable, and granular), are easy to use (are accessible, understandable, and interoperable), and are safe to use (are impartial, confidential, and appropriate)
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  • 5
    ISBN: 9781464815478
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als
    Keywords: Armutsbekämpfung ; Fragiler Staat ; Politischer Konflikt ; Entwicklungsländer
    Abstract: "Extreme poverty is in retreat today across much of the world, but Fragile and Conflict-Affected Situations (FCS) are a stark exception. Not only is extreme poverty rising in economies characterized by conflict and fragility, but poor people in FCS are more likely than the poor elsewhere to experience multiple, overlapping non-monetary deprivations, further diminishing their chances to escape poverty and achieve a better life. And once countries enter conflict, it imposes heavy costs through its negative impact on economic development and welfare that can extend to future generations. The report argues that global efforts to end extreme poverty can only succeed with resolute engagement in FCS economies. It specifically proposes approaches that support evidence -based policy by tackling data deprivation, improving monitoring of country specific risk markers, prioritizing and targeting resources to the places most in need, and developing strategies to more effectively target investments in FCS"--
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  • 6
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource (44 pages)
    Parallel Title: Erscheint auch als Print Version: Mahler, Daniel Gerszon Nowcasting Global Poverty
    Keywords: Inequality ; Machine Learning ; Nowcasting ; Poverty ; Poverty Lines ; Poverty Measurement ; Poverty Monitoring and Analysis ; Poverty Reduction
    Abstract: This paper evaluates different methods for nowcasting country-level poverty rates, including methods that apply statistical learning to large-scale country-level data obtained from the World Development Indicators and Google Earth Engine. The methods are evaluated by withholding measured poverty rates and determining how accurately the methods predict the held-out data. A simple approach that scales the last observed welfare distribution by a fraction of real GDP per capita growth-a method that departs slightly from current World Bank practice-performs nearly as well as models using statistical learning on 1,000+ variables. This GDP-based approach outperforms all models that predict poverty rates directly, even when the last survey is up to five years old. The results indicate that in this context, the additional complexity introduced by applying statistical learning techniques to a large set of variables yields only marginal improvements in accuracy
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  • 7
    Online Resource
    Online Resource
    Washington, DC, USA : World Bank Group, Development Data Group, Development Research Group & Poverty and Equity Global Practice
    Language: English
    Pages: 1 Online-Ressource (circa 24 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8869
    Series Statement: World Bank E-Library Archive
    Series Statement: Policy research working paper
    Parallel Title: Erscheint auch als Lakner, Christoph How Much Does Reducing Inequality Matter for Global Poverty?
    Keywords: Graue Literatur
    Abstract: The goals of ending extreme poverty by 2030 and working toward a more equal distribution of income are prominent in international development and agreed upon in the United Nations' Sustainable Development Goals 1 and 10. Using data from 164 countries comprising 97 percent of the world's population, this paper simulates a set of scenarios for global poverty from 2018 to 2030 under different assumptions about growth and inequality. This allows for quantifying the interdependence of the poverty and inequality goals. The paper uses different assumptions about growth incidence curves to model changes in inequality and relies on the Model-based Recursive Partitioning machine-learning algorithm to model how growth in GDP is passed through to growth as observed in household surveys. When holding within-country inequality unchanged and letting GDP per capita grow according to International Monetary Fund forecasts, the simulations suggest that the number of extreme poor (living below USD 1.90/day) will remain above 550 million in 2030, resulting in a global extreme poverty rate of 6.5 percent. If the Gini index in each country decreases by 1 percent per year, the global poverty rate could reduce to around 5.4 percent in 2030, equivalent to 100 million fewer people living in extreme poverty. Reducing each country's Gini index by 1 percent per year has a larger impact on global poverty than increasing each country's annual growth 1 percentage point above the forecasts, suggesting an important role for inequality on the path to eliminating extreme poverty
    URL: Volltext  (lizenzpflichtig)
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  • 8
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource (45 pages)
    Parallel Title: Erscheint auch als Wollburg, Philip The Climate Implications of Ending Global Poverty
    Keywords: Climate Change ; Climate Change Economics ; Co2 Emission Goals ; Environment and Poverty ; Greenhouse Gas Emissions ; Inequality ; Macroeconomics and Economic Growth ; Poverty ; Poverty and Climate Ambitions
    Abstract: Previous studies have explored potential conflicts between ending poverty and limiting global warming, by focusing on the carbon emissions of the world's poorest. This paper instead focuses on economic growth as the driver of poverty alleviation and estimates the emissions associated with the growth needed to eradicate poverty. With this framing, eradicating poverty requires not only increasing the consumption of poor people, but also the consumption of non-poor people in poor countries. Even in this more pessimistic framing, the global emissions increase associated with eradicating extreme poverty is small, at 2.37 gigatonnes of equivalent carbon dioxide in 2050, or 4.9 percent of 2019 global emissions. These additional emissions would not materially affect the global climate change challenge: global emissions would need to be reduced by 2.08 gigatonnes of equivalent carbon dioxide per year, instead of the 2.0 gigatonnes of equivalent carbon dioxide per year needed in the absence of any extreme poverty eradication. Lower inequality, higher energy efficiency, and decarbonization of energy can significantly ease this trade-off: assuming the best historical performance in all countries, the additional emissions for poverty eradication are reduced by 90 percent. Therefore, the need to eradicate extreme poverty cannot be used as a justification for reducing the world's climate ambitions. When trade-offs exist, the eradication of extreme poverty can be prioritized with negligible emissions implications. The estimated emissions of eradicating poverty are 15.3 percent of 2019 emissions with the lower-middle-income poverty line at USD 3.65 per day and or 45.7 percent of 2019 emissions with the USD 6.85 upper-middle-income poverty line. The challenge to align the world's development and climate objectives is not in reconciling extreme poverty alleviation with climate objectives but in providing middle-income standards of living in a sustainable manner
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  • 9
    Language: English
    Pages: 1 Online-Ressource (circa 39 Seiten) , Illustrationen
    Series Statement: Policy research working paper 9277
    Series Statement: World Bank E-Library Archive
    Series Statement: Policy research working paper
    Parallel Title: Erscheint auch als Decerf, Benoit Lives and Livelihoods: Estimates of the Global Mortality and Poverty Effects of the Covid-19 Pandemic
    Keywords: Graue Literatur
    Abstract: This paper evaluates the global welfare consequences of increases in mortality and poverty generated by the Covid-19 pandemic. Increases in mortality are measured in terms of the number of years of life lost (LY) to the pandemic. Additional years spent in poverty (PY) are conservatively estimated using growth estimates for 2020 and two different scenarios for its distributional characteristics. Using years of life as a welfare metric yields a single parameter that captures the underlying trade-off between lives and livelihoods: how many PYs have the same welfare cost as one LY. Taking an agnostic view of this parameter, estimates of LYs and PYs are compared across countries for different scenarios. Three main findings arise. First, as of early June 2020, the pandemic (and the observed private and policy responses) has generated at least 68 million additional poverty years and 4.3 million years of life lost across 150 countries. The ratio of PYs to LYs is very large in most countries, suggesting that the poverty consequences of the crisis are of paramount importance. Second, this ratio declines systematically with GDP per capita: poverty accounts for a much greater share of the welfare costs in poorer countries. Finally, the dominance of poverty over mortality is reversed in a counterfactual "herd immunity" scenario: without any policy intervention, LYs tend to be greater than PYs, and the overall welfare losses are greater
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  • 10
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Other papers
    Abstract: This paper provides an initial analysis of the impact on the World Bank's global poverty estimates of the revised 2011 and new 2017 PPPs published in May 2020. The revised 2011 PPPs slightly increase poverty in South Asia and Sub-Saharan Africa, causing the extreme poverty headcount ratio for the world to rise by 0.3 percentage points to 10.3 percent in 2015 (equivalent to 20 million more poor people). The 2017 PPPs have the opposite effect: extreme poverty decreases in Sub-Saharan Africa, reducing the global poverty estimate slightly by 0.6pp to 9.4 percent in 2015 (equivalent to 46 million fewer poor people). The long-run trends in global and regional poverty remain unchanged
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