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  • 1
    Language: English
    Pages: Online-Ressource (38 p)
    Edition: 2010 World Bank eLibrary
    Parallel Title: van der Weide, Roy Poverty and inequality maps for rural Vietnam
    Abstract: The objective of the paper is to update the small area estimates of poverty and inequality for rural Vietnam. The new estimates of province and district level poverty for the year 2006, when combined with estimates available for 1999, allow for examination of how poverty has changed in rural Vietnam over the past seven years. The analysis finds that all provinces across the country experienced a noticeable reduction in rural poverty during the period 1999-2006. Some of the largest reductions in poverty are observed for provinces with poverty rates close to the national average. The poorest provinces have also experienced reductions in poverty, albeit at a more modest pace. Provinces and districts with lower levels of inequality in 2006 have seen above average poverty reductions. The authors consider both expenditure and income based measures of poverty and inequality, and find the results to be very similar
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  • 2
    Language: English
    Pages: Online-Ressource (14 p)
    Edition: 2014 World Bank eLibrary
    Parallel Title: van der Weide, Roy GLS Estimation and Empirical Bayes Prediction for Linear Mixed Models with Heteroskedasticity and Sampling Weights
    Abstract: This note adapts results by Huang and Hidiroglou (2003) on Generalized Least Squares estimation and Empirical Bayes prediction for linear mixed models with sampling weights. The objective is to incorporate these results into the poverty mapping approach put forward by Elbers et al. (2003). The estimators presented here have been implemented in version 2.5 of POVMAP, the custom-made poverty mapping software developed by the World Bank
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  • 3
    Language: English
    Pages: Online-Ressource (40 p)
    Edition: 2014 World Bank eLibrary
    Parallel Title: van der Weide, Roy Inequality is Bad for Growth of the Poor (But Not for That of the Rich)
    Abstract: The paper assesses the impact of overall inequality, as well as inequality among the poor and among the rich, on the growth rates along various percentiles of the income distribution. The analysis uses micro-census data from U.S. states covering the period from 1960 to 2010. The paper finds evidence that high levels of inequality reduce the income growth of the poor and, if anything, help the growth of the rich. When inequality is deconstructed into bottom and top inequality, the analysis finds that it is mostly top inequality that is holding back growth at the bottom
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  • 4
    Language: English
    Pages: 1 Online-Ressource (31 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als van der Weide, Roy Is Inequality Underestimated in Egypt? Evidence from House Prices
    Abstract: Household income surveys often fail to capture top incomes which leads to an underestimation of income inequality. A popular solution is to combine the household survey with data from income tax records, which has been found to result in significant upward corrections of inequality estimates. Unfortunately, tax records are unavailable in many countries, including most of the developing world. In the absence of data from tax records, this study explores the feasibility of using data on house prices to estimate the top tail of the income distribution. In an application to Egypt, where estimates of inequality based on household surveys alone are low by international standards, the study finds strong evidence that inequality is indeed being underestimated by a considerable margin. The Gini index for urban Egypt is found to increase from 36 to 47 after correcting for the missing top tail
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  • 5
    Language: English
    Pages: 1 Online-Ressource (45 pages)
    Parallel Title: Erscheint auch als Print Version: Marrero, Gustavo A Does Race and Gender Inequality Impact Income Growth?
    Keywords: Gender ; Gender and Development ; Gender Inequality ; Income Growth ; Inequality ; Poverty Reduction ; Race Inequality
    Abstract: Using Integrated Public Use Microdata Series-United States micro-census data from 1960 to 2010, this paper examines whether racial and Gender income disparities beget inequality by differentially impacting the growth prospects of the poor, the middle class, and the rich. Racial and Gender inequality is found to be bad for income growth of the poor, but not for that of the rich. An investigation into the channels of this effect suggests that higher racial and Gender inequality is associated with lower human capital accumulation among the poor and a reduction in the quality of their jobs
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  • 6
    Online Resource
    Online Resource
    Washington, D.C. : World Bank Group, Development Research Group & Development Data Group
    Language: English
    Pages: 1 Online-Ressource (circa 46 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8385
    Series Statement: World Bank E-Library Archive
    Series Statement: Policy research working paper
    Parallel Title: Erscheint auch als van der Weide, Roy Obstacles on the Road to Palestinian Economic Growth
    Keywords: Wirtschaftswachstum ; Infrastrukturfinanzierung ; Gazastreifen ; Westjordanland ; Graue Literatur
    Abstract: This paper quantifies the impact of market access on local GDP in the West Bank, proxied by nighttime lights, using the deployment of road closure obstacles by the Israeli army between 2005 and 2012 as a quasi-natural experiment generating exogenous temporal and spatial variation in accessibility. Minimum travel times between locality pairs are computed using road network and obstacles data supplemented with information on checkpoint traversal times. These are combined with population data to construct a time-varying market access measure for each locality. Market access has a significant and substantial effect on local light emissions. This association is robust to controlling for conflict, and strengthens when market access is instrumented by the number of obstacles located in a radius between 10 and 25km away from the locality
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  • 7
    Language: English
    Pages: Online-Ressource (33 p)
    Edition: 2014 World Bank eLibrary
    Parallel Title: Elbers, Chris Estimation of Normal Mixtures in a Nested Error Model with an Application to Small Area Estimation of Poverty and Inequality
    Abstract: This paper proposes a method for estimating distribution functions that are associated with the nested errors in linear mixed models. The estimator incorporates Empirical Bayes prediction while making minimal assumptions about the shape of the error distributions. The application presented in this paper is the small area estimation of poverty and inequality, although this denotes by no means the only application. Monte-Carlo simulations show that estimates of poverty and inequality can be severely biased when the non-normality of the errors is ignored. The bias can be as high as 2 to 3 percent on a poverty rate of 20 to 30 percent. Most of this bias is resolved when using the proposed estimator. The approach is applicable to both survey-to-census and survey-to-survey prediction
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 8
    Language: English
    Pages: Online-Ressource (40 p)
    Edition: 2014 World Bank eLibrary
    Parallel Title: Durevall, Dick Importing High Food Prices by Exporting
    Keywords: Reis ; Export ; Reispreis ; Inflationskonvergenz ; Kointegration ; Freihandel ; Wohlfahrtsökonomik ; Laos
    Abstract: This paper shows how a developing country, Lao PDR, imports high glutinous rice prices by exporting its staple food to neighboring countries, Vietnam and Thailand. Lao PDR has extensive export controls on rice, generating a sizable difference between domestic and international prices. Controls are relaxed after good harvests, leading to a surge in exports early in the season and rapidly rising prices later in the year. There is thus a strong case for removal of trade restrictions since they give rise to price spikes, keep the long-term price of glutinous rice low, and thereby hinder increases in income from agriculture. Although this is a case study of Lao PDR, the findings may equally apply to other developing countries that export their staple food
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 9
    Language: English
    Pages: 1 Online-Ressource (38 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Marrero, Gustavo A Unequal Opportunity, Unequal Growth
    Abstract: This paper argues that inequality can be both good and bad for growth, depending on what inequality and whose growth. Unequal societies may be holding back one segment of the population while helping another. Similarly, high levels of income inequality may be due to a variety of different factors; some of these may be good while others may be bad for growth. The paper tests this hypothesis by "unpacking" both inequality and growth. Total inequality is decomposed into inequality of opportunity, due to observed factors that are beyond the individual's control, and residual inequality. Growth is measured at different steps of the income ladder to verify whether low, middle, and top income households fare differently in societies with high (low) levels of inequality. In an application to the United States covering 1960 to 2010, the paper finds that inequality of opportunity is particularly bad for growth of the poor. When inequality of opportunity is controlled for, the importance of total income inequality is dramatically reduced. These results are robust to different measures of inequality of opportunity and econometric methods
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  • 10
    Language: English
    Pages: Online-Ressource (38 p)
    Edition: 2013 World Bank eLibrary
    Parallel Title: Fujii, Tomoki Cost-Effective Estimation of the Population Mean Using Prediction Estimators
    Abstract: This paper considers the prediction estimator as an efficient estimator for the population mean. The study may be viewed as an earlier study that proved that the prediction estimator based on the iteratively weighted least squares estimator outperforms the sample mean. The analysis finds that a certain moment condition must hold in general for the prediction estimator based on a Generalized-Method-of-Moment estimator to be at least as efficient as the sample mean. In an application to cost-effective double sampling, the authors show how prediction estimators may be adopted to maximize statistical precision (minimize financial costs) under a budget constraint (statistical precision constraint). This approach is particularly useful when the outcome variable of interest is expensive to observe relative to observing its covariates
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