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  • 1
    Language: English
    Pages: 1 Online-Ressource (39 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Corral, Paul No Condition is Permanent
    Abstract: The economic debate on existence and definition of the middle class has become particularly lively in many developing countries. Despite this growing interest, the identification of the middle class group in these countries remains quite challenging. Building on a recently developed framework to define the middle class, this paper tries to estimate the Nigerian middle class size in a rigorous quantitative manner. By exploiting publicly available panel data, the expenditure associated to a 10 percent probability of falling into poverty is estimated, and this is used as the middle class threshold for Nigeria. The threshold expenditure for the middle class in Nigeria is found to be 378.39 Naira per capita per day (2010 PPP). Relying on this threshold and through survey-to-survey imputation the size of Nigeria's middle class in 2003 is also estimated. The results show that there has been considerable improvement on the size of the middle class and poverty reduction between 2003 and 2013. Poverty decreased between 2003 and 2013 from 45 to 33 percent, while the middle class increased from 13 percent to 19 percent. Nevertheless the results still paint a heterogeneous picture of poverty and the middle class in Nigeria, where the largest portion of the population, although above the poverty threshold, continues to live with average or high vulnerability to poverty
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 2
    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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  • 3
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Poverty Study
    Keywords: Poverty Assessment ; Poverty Diagnostics ; Poverty Monitoring and Analysis ; Poverty Reduction
    Abstract: The eradication of poverty, which was the first of the millennium development goals (MDG) established by the United Nations and followed by the sustainable development goals (SDG), requires knowing where the poor are located. Traditionally, household surveys are considered the best source of information on the living standards of a country's population. Data from these surveys typically provide a sufficiently accurate direct estimate of household expenditures or income and thus estimates of poverty at the national level and larger international regions. However, when one starts to disaggregate data by local areas or population subgroups, the quality of these direct estimates diminishes. Consequently, national statistical offices (NSOs) cannot provide reliable wellbeing statistical figures at a local level. For example, the module of socioeconomic conditions of the Mexican national survey of household income and expenditure (ENIGH) is designed to produce estimates of poverty and inequality at the national level and for the 32 federate entities (31 states and Mexico City) with disaggregation by rural and urban zones, every two years, but there is a mandate to produce estimates by municipality every five years, and the ENIGH alone cannot provide estimates for all municipalities with adequate precision. This makes monitoring progress toward the sustainable development goals more difficult
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  • 4
    Article
    Article
    In:  Agriculture in Africa [2017], S. 39-45
    Language: English
    Titel der Quelle: Agriculture in Africa
    Angaben zur Quelle: [2017], S. 39-45
    Note: Calogero Carletto, Paul Corral, and Anita Guelfi
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  • 5
    Language: English
    Pages: 1 Online-Ressource (circa 30 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8630
    Series Statement: World Bank E-Library Archive
    Series Statement: Policy research working paper
    Parallel Title: Erscheint auch als Nguyen, Minh Cong Sae: A Stata Package For Unit Level Small Area Estimation
    Keywords: Graue Literatur
    Abstract: This paper presents a new family of Stata functions devoted to small area estimation. Small area methods attempt to solve low representativeness of surveys within areas, or the lack of data for specific areas/sub-populations. This is accomplished by incorporating information from outside sources. Such target data sets are becoming increasingly available and can take the form of a traditional population census, but also large scale administrative records from tax administrations, or geospatial information produced using remote sensing. The strength of these target data sets is their granularity on the subpopulations of interest, however, in many cases they lack the ability to collect analytically relevant variables such as welfare or caloric intake. The family of functions introduced follow a modular design to have the flexibility with which these can be expanded in the future. This can be accomplished by the authors and/or other collaborators from the Stata community. Thus far, a major limitation of such analysis in Stata has been the large size of target data sets. The package introduces new mata functions and a plugin used to circumvent memory limitations that inevitably arise when working with big data. From an estimation perspective, the paper starts by implementing a methodology that has been widely used for the production of several poverty maps
    URL: Volltext  (lizenzpflichtig)
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  • 6
    Language: English
    Pages: 1 Online-Ressource (circa 30 Seiten) , Illustrationen
    Series Statement: Policy research working paper 8638
    Series Statement: World Bank E-Library Archive
    Series Statement: Policy research working paper
    Parallel Title: Erscheint auch als Azevedo, Joao Pedro Poverty, Inequality, And Agriculture In The EU
    Keywords: Graue Literatur
    Abstract: Boosting convergence and shared prosperity in the European Union achieved renewed urgency after the global financial crisis of 2008. This paper assesses the role of agriculture and the Common Agricultural Program in achieving this. The paper sheds light on the relationship between poverty and agriculture as part of the process of structural transformation. It positions each member country on the path toward a successful structural transformation. The paper then evaluates at the regional level where the Common Agricultural Program funding tends to go, poverty-wise, within each country. This approach enables making more informed policy recommendations on the current state of the Common Agricultural Program funding, as well as evaluating the role of agriculture as a driver of shared prosperity. The analysis performed throughout the paper uses a combination of data sources at several spatial levels
    URL: Volltext  (lizenzpflichtig)
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  • 7
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource (57 pages)
    Parallel Title: Erscheint auch als Print Version: Corral, Paul A Map of the Poor or a Poor Map?
    Abstract: This paper evaluates the performance of different small area estimation methods using model and design-based simulation experiments. Design-based simulation experiments are carried out using the Mexican Intra Censal survey as a census of roughly 3.9 million households from which 500 samples are drawn using a two-stage selection procedure similar to that of Living Standards Measurement Study surveys. Several unit-level methods are considered as well as a method that combines unit and area level information, which has been proposed as an alternative when the available census data is outdated. The findings show the importance of selecting a proper model and data transformation so that the model assumptions hold. A proper data transformation can lead to a considerable improvement in mean squared errors. The results from design-based validation show that all small area estimation methods represent an improvement, in terms of mean squared errors, over direct estimates. However, methods that model unit level welfare using only area level information suffer from considerable bias. Because the magnitude and direction of the bias are unknown ex ante, methods that rely only on aggregated covariates should be used with caution, but they may be an alternative to traditional area level models when these are not applicable
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  • 8
    Online Resource
    Online Resource
    [Washington, DC, USA] : World Bank Group, Poverty and Equity Global Practice
    Language: English
    Pages: 1 Online-Ressource (circa 52 Seiten) , Illustrationen
    Series Statement: Policy research working paper 9256
    Series Statement: World Bank E-Library Archive
    Series Statement: Policy research working paper
    Parallel Title: Erscheint auch als Corral, Paul Pull Your Small Area Estimates Up by the Bootstraps
    Keywords: Graue Literatur
    Abstract: After almost two decades of poverty maps produced by the World Bank and multiple advances in the literature, this paper presents a methodological update to the World Bank's toolkit for small area estimation. The paper reviews the computational procedures of the current methods used by the World Bank: the traditional approach by Elbers, Lanjouw and Lanjouw (2003) and the Empirical Best/Bayes (EB) addition introduced by Van der Weide (2014). The addition extends the EB procedure of Molina and Rao (2010) by considering heteroscedasticity and includes survey weights, but uses a different bootstrap approach, here referred to as clustered bootstrap. Simulation experiments comparing these methods to the original EB approach of Molina and Rao (2010) provide empirical evidence of the shortcomings of the clustered bootstrap approach, which yields biased point estimates. The main contributions of this paper are then two: 1) to adapt the original Monte Carlo simulation procedure of Molina and Rao (2010) for the approximation of the extended EB estimators that include heteroscedasticity and survey weights as in Van der Weide (2014); and 2) to adapt the parametric bootstrap approach for mean squared error (MSE) estimation considered by Molina and Rao (2010), and proposed originally by Gonzalez-Manteiga and others (2008), to these extended EB estimators. Simulation experiments illustrate that the revised Monte Carlo simulation method yields estimators that are considerably less biased and more efficient in terms of MSE than those obtained from the clustered bootstrap approach, and that the parametric bootstrap MSE estimators are in line with the true MSEs under realistic scenarios
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  • 9
    Language: English
    Pages: Online-Ressource (59 p)
    Edition: 2014 World Bank eLibrary
    Parallel Title: Oseni, Gbemisola Explaining Gender Differentials in Agricultural Production in Nigeria
    Abstract: This paper uses data from the General Household Survey Panel 2010/11 to analyze differences in agricultural productivity across male and female plot managers in Nigeria. The analysis utilizes the Oaxaca-Blinder decomposition method, which allows for decomposing the unconditional gender gap into (i) the portion caused by observable differences in the factors of production (endowment effect) and (ii) the unexplained portion caused by differences in returns to the same observed factors of production (structural effect). The analysis is conducted separately for the North and South regions, excluding the west of the country. The findings show that in the North, women produce 28 percent less than men after controlling for observed factors of production, while there are no significant gender differences in the South. In the decomposition results, the structural effect in the North is larger than the endowment at the mean. Although women in the North have access to less productive resources than men, the results indicate that even if given the same level of inputs, significant differences still emerge. However for the South, the decomposition results show that the endowment effect is more important than the structural effect. Access to resources explains most of the gender gap in the South and if women are given the same level of inputs as men, the gap will be minimal. The difference in the results for the North and South suggests that policy should vary by region
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 10
    Language: English
    Pages: 1 Online-Ressource (38 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Bertoni, Eleonora Heterogeneous Returns to Income Diversification: Evidence from Nigeria
    Abstract: This paper investigates the impact of income diversification on farming households' welfare in Nigeria on two rounds of the Nigeria General Household Survey-Panel, namely the 2010/2011 and 2012/2013. The study finds that income diversification is the norm in Nigeria, with about 60 percent of farmers diversifying away from subsistence farming into non-farm activities and cash crops. In addition, using the panel of farmers interviewed before and after a severe drought that hit Northern Nigeria in particular in 2011, the study finds that diversification increased throughout Nigeria from 60 to 64 percent and in the North from 58 to 63 percent. The study postulates the existence of heterogeneous returns on diversification as a consequence of the drought, and estimates the returns through a non-parametric selection model using a local instrumental variable. The choice of this model is dictated by the necessity to account for both heterogeneous effects of diversification and selection bias related to households' decision to diversify. Overall, it is found that diversification positively affects consumption in Nigeria. However, who benefits the most is crucially determined by the initial conditions under which diversification is undertaken and the specific agro-climatic context in which households operate
    URL: Volltext  (Deutschlandweit zugänglich)
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