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  • 1
    UID:
    b3kat_BV040618209
    Format: 1 Online-Ressource
    Edition: Online-Ausgabe World Bank E-Library Archive Sonstige Standardnummer des Gesamttitels: 041181-4
    Edition: Also available in print.
    Series Statement: Policy research working paper 3604
    Content: "Using data from Indonesia, Newhouse and Beegle to evaluate the impact of school type on academic achievement of junior secondary school students (grades 7-9). Students that graduate from public junior secondary schools, controlling for a variety of other characteristics, score 0.15 to 0.3 standard deviations higher on the national exit exam than comparable privately schooled peers. This finding is robust to OLS, fixed-effects, and instrumental variable estimation strategies. Students attending Muslim private schools, including Madrassahs, fare no worse on average than students attending secular private schools. The results provide indirect evidence that higher quality inputs at public junior secondary schools promote higher test scores. "--World Bank web site
    Note: Includes bibliographical references. - Title from PDF file as viewed on 5/13/2005 , Erscheinungsjahr in Vorlageform:[2005] , Weitere Ausgabe: Newhouse, David : The effect of school type on academic achievement
    Additional Edition: Reproduktion von Newhouse, David Locke, 1973- The effect of school type on academic achievement 2005
    Language: English
    Author information: Beegle, Kathleen 1969-
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  • 2
    Online Resource
    Online Resource
    Washington, DC, USA : World Bank Group, Poverty and Equity Global Practice
    UID:
    b3kat_BV049079593
    Format: 1 Online-Ressource (circa 29 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8683
    Language: English
    Keywords: Graue Literatur
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 3
    Online Resource
    Online Resource
    Washington, D.C. : World Bank Group, Poverty and Equity Global Practice
    UID:
    gbv_1022164481
    Format: 1 Online-Ressource (circa 38 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8355
    Content: Although Sri Lanka has made significant progress in social and economic development over the past decade, the Northern and Eastern provinces that faced the brunt of the decades-long conflict remain disproportionately poor. To understand the labor market dimensions of poverty in these regions, this paper examines a range of job-related indicators, using data from 2011 to 2015. The overall labor force participation rate in these provinces is significantly lower than in the rest of the country. Much of the difference can be attributed to adult women, although the participation rates of youth and those with lower educational attainment are also low. The distribution of wages for male and female wage workers in these provinces is similar to that in other parts of the country. The pattern of low employment rates and comparable wages is consistent with a combination of low demand for labor and greater reluctance to work in these regions, which each depress employment but have counteracting effects on equilibrium wages. Skills are an issue, as adults in these provinces tend to score lower on literacy tests and have lower self-reported skills in reading, writing, and numeracy. Households in these provinces have less access to formal finance, which may also contribute to a lack of self-employment opportunities
    Additional Edition: Erscheint auch als Druck-Ausgabe Newhouse, David The State of Jobs in Post-Conflict Areas of Sri Lanka Washington, D.C : The World Bank, 2018
    Language: English
    Keywords: Graue Literatur
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  • 4
    UID:
    gbv_1040819478
    Format: 1 Online-Ressource (circa 33 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8605
    Content: This paper intends to inform the effort of the Sri Lankan government to reform the targeting efficacy of its social protection programs, in particular, Samurdhi, which currently distributes benefits based on self-reported income. The paper develops a proxy means test for Sri Lanka based on the Household Income and Expenditure Survey 2016 and evaluates its performance for targeting benefits of Samurdhi. The paper considers a range of models and policy parameters that could be applied depending on data availability and country preferences. The results indicate that switching to a proxy means test could considerably improve the targeting performance of Samurdhi and would significantly improve the poverty impact of the program. The analysis finds that the performance of the proposed proxy means test model suffers when the coefficients are estimated from samples smaller than 1,000 households. However, the analysis does not find a similar loss of model performance when the model is estimated from seasonal data, provided the sample size is sufficiently large. The proposed model could be applied to targeting a variety of safety net programs after validating and refining the model by conducting a pilot survey
    Additional Edition: Erscheint auch als Druck-Ausgabe Sebastian, Ashwini A Proxy Means Test for Sri Lanka Washington, D.C : The World Bank, 2018
    Language: English
    Keywords: Graue Literatur
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 5
    UID:
    gbv_1022165747
    Format: 1 Online-Ressource (circa 45 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8360
    Content: This paper uses household surveys from 89 countries to look at gender differences in poverty in the developing world. In the absence of individual-level poverty data, the paper looks at what can we learn in terms of gender differences by looking at the available individual and household level information. The estimates are based on the same surveys and welfare measures as official World Bank poverty estimates. The paper focuses on the relationship between age, sex and poverty. And finds that, girls and women of reproductive age are more likely to live in poor households (below the international poverty line) than boys and men. It finds that 122 women between the ages of 25 and 34 live in poor households for every 100 men of the same age group. The analysis also examines the household profiles of the poor, seeking to go beyond headship definitions. Using a demographic household composition shows that nuclear family households of two married adults and children account for 41 percent of poor households, and are the most frequent household where poor women are found. Using an economic household composition classification, households with a male earner, children and a non-income earner spouse are the most frequent among the poor at 36 percent, and the more frequent household where poor women live. For individuals, as well as for households, the presence of children increases the household likelihood to be poor, and this has a specific impact on women, but does not fully explain the observed female poverty penalty
    Additional Edition: Erscheint auch als Druck-Ausgabe Boudet, Ana Maria Munoz Gender Differences in Poverty and Household Composition through the Life-cycle: A Global Perspective Washington, D.C : The World Bank, 2018
    Language: English
    Keywords: Graue Literatur
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 6
    UID:
    gbv_1666259365
    Format: 1 Online-Ressource (circa 27 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8754
    Content: This paper examines the public sector wage premium using nationally representative household surveys from 91 countries. The public sector generally pays a wage premium compared to all private sector salaried employees, but the size of the premium is sensitive to the choice of the private sector comparator and varies considerably by worker characteristics. For most countries, the average premium disappears when the public sector is compared to only formal sector private employees, especially when controlling for occupation. The public sector wage premium is higher for women and low-skilled workers. In contrast, high-skilled public sector employees are most often paid the same as their private sector counterparts or may even pay a penalty for working in the public sector. Consistent with this, the public sector premium is greater for employees with less education, those working in lower paid occupations, and those whose earnings fall in the lower part of the conditional earnings distribution. Across countries, the wage premium is only weakly associated with countries' level of development. These findings nuance the existing consensus that public sector workers tend to enjoy a significant wage premium over their private sector counterparts, and that this premium is especially large in low-income countries
    Additional Edition: Erscheint auch als Druck-Ausgabe Gindling, T. H Are Public Sector Workers in Developing Countries Overpaid? Evidence from a New Global Data Set Washington, D.C : The World Bank, 2019
    Language: English
    Keywords: Graue Literatur
    URL: Volltext  (lizenzpflichtig)
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  • 7
    UID:
    gbv_1666275328
    Format: 1 Online-Ressource (circa 43 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8776
    Content: Country-level census data are typically collected once every 10 years. However, conflict, migration, urbanization, and natural disasters can cause rapid shifts in local population patterns. This study uses Sri Lankan data to demonstrate the feasibility of a bottom-up method that combines household survey data with contemporaneous satellite imagery to track frequent changes in local population density. A Poisson regression model based on indicators derived from satellite data, selected using the least absolute shrinkage and selection operator, accurately predicts village-level population density. The model is estimated in villages sampled in the 2012/13 Household Income and Expenditure Survey to obtain out-of-sample density predictions in the nonsurveyed villages. The predictions approximate the 2012 census density well and are more accurate than other bottom-up studies based on lower-resolution satellite data. The predictions are also more accurate than most publicly available population products, which rely on areal interpolation of census data to redistribute population at the local level. The accuracies are similar when estimated using a random forest model, and when density estimates are expressed in terms of population counts. The collective evidence suggests that combining surveys with satellite data is a cost-effective method to track local population changes at more frequent intervals
    Additional Edition: Erscheint auch als Druck-Ausgabe Engstrom, Ryan Estimating Small Area Population Density Using Survey Data and Satellite Imagery: An Application to Sri Lanka Washington, D.C : The World Bank, 2019
    Language: English
    Keywords: Graue Literatur
    URL: Volltext  (lizenzpflichtig)
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  • 8
    Online Resource
    Online Resource
    Washington, DC, USA : World Bank Group, Poverty and Equity Global Practice
    UID:
    gbv_1671663241
    Format: 1 Online-Ressource (circa 39 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8878
    Content: This paper applies an innovative method to estimate poverty in India in the absence of recent expenditure data. The method utilizes expenditure data from 2004-05, 2009-10, and 2011-12 to impute household expenditure into a survey of durable goods expenditure conducted in 2014-15. At the USD 1.90 per day international poverty line, the preferred model predicts a 2014-15 head-count poverty rate of 10 percent in urban areas and 16.4 percent in rural areas, implying a poverty rate of 14.6 percent nationally. The implied poverty elasticity with respect to growth in per capita Gross Domestic Product (GDP) is within the range of past experience, and states with higher gross domestic product growth saw greater predicted poverty reductions. In validation tests, the model's predictions perform comparably to the World Bank's current adjustment method when predicting for 2011-12 but they are far more accurate when predicting for 2004-05. Three alternative specifications give moderately higher estimates of poverty. The results indicate that survey-to-survey imputation, when feasible, is a preferable alternative to the current method used to adjust survey-based poverty estimates to later years
    Additional Edition: Erscheint auch als Druck-Ausgabe Newhouse, David Locke Estimating Poverty in India without Expenditure Data: A Survey-to-Survey Imputation Approach Washington, D.C : The World Bank, 2019
    Language: English
    Keywords: Graue Literatur
    URL: Volltext  (lizenzpflichtig)
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  • 9
    UID:
    gbv_1735753092
    Format: 1 Online-Ressource (circa 49 Seiten) , Illustrationen
    Series Statement: Policy research working paper 9383
    Content: This paper uses data from Sri Lanka and Tanzania to evaluate the benefits of combining household surveys with geographically comprehensive geospatial indicators to generate small area estimates of non-monetary poverty. The preferred estimates are generated by utilizing subarea-level geospatial indicators in a household-level empirical best predictor mixed model with a normalized welfare measure. Mean squared errors are estimated using a parametric bootstrap procedure. The resulting estimates are highly correlated with non-monetary poverty calculated from the full census in both countries, and the gain in precision is comparable to increasing the size of the sample by a factor of three in Sri Lanka and five in Tanzania. The empirical best predictor model moderately underestimates uncertainty, but coverage rates are similar to standard survey-based estimates that assume independent outcomes across clusters. A variety of checks, including adding noise to the welfare measure and model-based and design-based simulations, confirm that the main results are robust. The results demonstrate that combining household survey data with subarea-level geospatial indicators can greatly increase the precision of survey estimates of non-monetary poverty at comparatively low cost
    Additional Edition: Erscheint auch als Druck-Ausgabe Masaki, Takaaki Small Area Estimation of Non-Monetary Poverty with Geospatial Data Washington, D.C : The World Bank, 2020
    Language: English
    Keywords: Graue Literatur
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  • 10
    UID:
    gbv_1749533847
    Format: 1 Online-Ressource (circa 54 Seiten) , Illustrationen
    Series Statement: Policy research working paper 9510
    Content: The economic crisis caused by the COVID-19 pandemic has sharply reduced mobility and economic activity, disrupting the lives of people around the globe. This paper presents estimates on the early impact of the crisis on labor markets in 39 countries based on high-frequency phone survey data collected between April and July 2020. Workers in these countries experienced severe labor market disruptions following the COVID-19 outbreak. Based on simple averages across countries, 34 percent of the respondents reported stopping work, 20 percent of wage workers reported lack of payment for work performed, 9 percent reported job changes due to the pandemic, and 62 percent reported income loss in their household. Stopping work was more prevalent in the industrial and service sectors than in agriculture. Measures of work stoppage and income loss in the high-frequency phone survey are generally consistent with gross domestic product growth projections in Latin America and the Caribbean but not in Sub-Saharan Africa. This suggests that the survey data contribute new and important information on economic impacts in low-income countries
    Additional Edition: Erscheint auch als Print Version: Khamis, Melanie The Early Labor Market Impacts of COVID-19 in Developing Countries: Evidence from High-Frequency Phone Surveys Washington, D.C : The World Bank, 2021
    Language: English
    Keywords: Graue Literatur
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