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Widely, 12-month or 4-quarter average indicators, such as monetary poverty rates, are computed from repeated cross sections of household surveys and interpreted as annual. This is a valid interpretation only when individuals do not change their status within the year; for instance, those observed as poor in the month they are interviewed stay poor the other 11 months. First, we demonstrate that such misinterpretation affects the calculation of several labor market, inequality, and monetary poverty measures. Then, we propose several methods to accurately annualize sub-annual data. Some methods rely on ancillary questions often included in household surveys while others require econometric techniques such as predictive mean matching. Using data for Colombia, we apply the methods to compute annual measures of labor participation, occupation, per capita labor income, average per capita household income, the Gini coefficients of labor income and per-capita household income, and moderate and extreme monetary poverty indices (headcount, gap, and severity). We show that differences with respect to the usual calculations based on monthly averages can be substantial. [ABSTRACT FROM AUTHOR]

The study aims to explore the impact of some macroeconomic performance indicators on the poverty gap in the countries of the Middle East and North Africa (MENA) during the period 1990-2021. The study used the econometric approach, where a correlation matrix was built be-tween the variables, while the poverty gap as a dependent variable, and (4) independent varia-bles, the rate of inflation, the rate of population growth, the rate of economic growth, and the ratio of reserves to external debt. Applying Unit Root test, then ARDL model to investigate the effect of independent variables on the poverty gap and using E-Views 12. The study found that the re-sults in general are matching with the economic theory, as in the short and long term, the rate of inflation is associated with an inverse relationship with poverty rates in the (MENA) countries dur-ing the period 1990-2021; the increasing ratio of reserves to external debt has a negative impact on the poverty rates in the MENA countries, the increasing exports had a positive impact to de-creasing poverty in MENA region, while the population growth rate is associated with a direct negative impact on the poverty gap in those countries and it has the highest influence on poverty compared to the other macroeconomic variables in this study, and the relationship between them goes in the same direction. The study confirmed that after (1) lag period GDP growth negatively affects the poverty gap, thus with an increase in the GDP the poverty also increases, but after (2) lag periods the study confirmed the positive impact of GDP growth on the poverty gap. So, the study recommends applying economic policies that reduce inflation rates by using fiscal poli-cy tools through reducing government spending or raising tax rates. Raising export rates through an industrial and agriculture policy that supports the quality and competition of local products in global markets, as well as raising the reserve ratio to the total external debt, which may occur in the event of an improvement in export rates accordingly. It also requires population policies that reduce population growth rates. And finally, economic growth couldn't reduce poverty without economic policies raising equality degree between individuals. [ABSTRACT FROM AUTHOR]

Poverty is a global issue of high importance for both developing and developed countries. The first step in tackling poverty is to identify the impact of economic policies on poverty indicators. In this direction, the purpose of this study is to measure the effect of foreign tourism development on poverty reduction using SAM fixed price multiplier approach. For this purpose, 2011 SAM, 2018 foreign tourist receipts, and three poverty indicators: head count ratio, poverty gap, and (FGT) have been considered. The results indicate that the arrival of foreign tourists through the production growth channel reduces poverty in Iran and reducing poverty of rural households is greater than urban households. Results also show that the highest share in sectoral poverty reduction based on the three poverty indicators is related to the agricultural sector (based on the census poverty index), hotels and restaurants, and manufacturing, and transportation (based on the poverty gap index and the FGT indices). Whereas the least reduction in poverty occurs in the financial, insurance and education activities. Any policy making in the direction of tourism development is considered as a suitable socio-economic achievement.

There is limited literature review and analysis of poverty in Afghanistan, particularly in the analysis of an urban area. Therefore, due to the limited information on the extent of poverty in Mazar-i-Sharif city especially at the micro/household level, this paper will provide such information and a more current one. To conduct the study, an actual data of 1060 households in Mazar-i-Sharif, obtained from a strictly random process, is used and applied the "Foster-Greer-Thorbecke (FGT)" measures of poverty to analyse poverty based on income and expenditure approach in two waves, before "COVID-19" (March 21, 2019-March 20, 2020) and during "COVID-19" (March 21, 2020-March 21, 2021). Also, the "Independent t-test" is applied to compare the mean of poverty indices in wave 1 compared to wave 2. It is found that, overall, the poverty rate is high in Mazar-i-Sharif, and more than two-thirds of the population severely suffers from the phenomenon, and it increased during the pandemic compared to pre-pandemic time. Also, the depth and severity of poverty are also serious issues and the indices increased in wave 2 compared to wave 1. Further, the study suggests that the government and international organizations should do urgent actions to save million lives and to overcome of this phenomenon. [ABSTRACT FROM AUTHOR]

The purpose of the present paper is to measure the disadvantage of the vulnerable in contemporary Japan, focusing on their capabilities in moving both outside and inside the home. Our research interest is to find a new informational base other than consumption expenditure, which provides a strong clue about how to assess the eligibility for social support. We examine theoretical methods to apply the capability approach empirically, extending existing multidimensional poverty measurements. We find that people with disabilities and nursing care users are significantly restricted in their capabilities. The elderly in general, whom we have used as a reference group, are also in a precarious situation. [ABSTRACT FROM AUTHOR]

This paper provides a characterization of a new class of ordinal poverty measures that are defined by means of the aggregate generalized poverty gap. To be precise, we propose to use the sum of the differences between the transformed fixed poverty line and the transformed level of income of each person below the line as our measure. If the transformation is strictly concave, the resulting measure is strictly inequality averse with respect to the incomes of the poor. In analogy to some existing results on inequality measurement, we show that the only relative (scale-invariant) members of our class are based on strictly concave power functions or the natural logarithm. Moreover, we show that our measures allow for a useful decomposition that is akin to those examined in some earlier contributions. In an empirical analysis, we compare the logarithmic variant of our index to two well-established alternative orderings. Unlike numerous indices that appear in the earlier literature, ours do not explicitly depend on the number of poor or on the total population size, thereby ruling out any direct influence of the head-count ratio on poverty comparisons. [ABSTRACT FROM AUTHOR]

Poverty, inequality, and unemployment are on the rise in South Africa. The focus of this study is on school-age children in poverty. Education is a critical policy imperative for the country. Model-based small area estimation was conducted to estimate the different poverty measures for lower and upper bound poverty levels. The primary data sources are the Income and Expenditure Survey 2010/2011 and the 2011 national population census. The model diagnostics and the validation of the estimates showed that the model-based estimates at the local municipality level are more reliable than the direct estimates. There are significant variations in poverty across the local municipalities of South Africa; therefore, spatially targeted poverty alleviation programmes are more beneficial. [ABSTRACT FROM AUTHOR]

Copyright of Agricultural Outlook (1673-3908) is the property of Institute of Agricultural Information, Chinese Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Social Welfare Quarterly is the property of Negah Institute for Social Research & Scientific Communication and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Financial development may affect poverty directly and indirectly through its impact on income inequality, economic growth, and financial instability. Previous studies do not consider all these channels simultaneously. To proxy financial development, we use the ratio of private credit to GDP or an IMF composite measure. Our preferred measure for poverty is the poverty gap, i.e. the shortfall from the poverty line. Our fixed effects estimation results for an unbalanced panel of 84 countries over the 1975–2014 period suggest that financial development does not have a direct effect on the poverty gap. However, as financial development leads to greater inequality, which, in turn, results in more poverty, financial development has an indirect effect on poverty through this transmission channel. Only if we use poverty lines of $3.20 or $5.50 (instead of $1.90 a day as in our baseline model) to define the poverty gap, we find that economic growth reduces poverty. This implies that in those cases the overall effect of financial development on poverty may be positive or negative, depending on which indirect effect, i.e. that of income inequality or growth, is stronger. Financial instability does not seem to affect the poverty gap. These results are consistent across various robustness checks. [ABSTRACT FROM AUTHOR]

Official statistics tend to rely on a headcount approach to poverty measurement, distinguishing 'the poor' from the 'non-poor' on the basis of an anchored threshold. Invariably, this does little to engage with the gradations of material hardship affecting those living, to varying degrees, below the poverty line. In response, this paper interrogates an apparent flatlining in UK poverty to establish the changing profile of poverty, as well as those most affected by it. Drawing on the Family Resources survey, this paper reveals an increasing depth of poverty in the UK since 2010, with bifurcation observable in the living standards of different percentile groups below the poverty line. In addition, this paper demonstrates substantial compositional changes in the socio-demographic profile of (deep) poverty. Since 2010, the likelihood of falling into deep poverty has increased for women, children, larger families, Black people and those in full-time work. Within the context of COVID-19, I argue there is a need to re-think how we currently conceptualise poverty by better attending to internal heterogeneity within the broader analytical and methodological category of 'the poor'. Doing so raises pressing questions about the prevailing modes of poverty measurement that tend to frame and delimit the social scientific analysis of poverty, as well as the policies deemed appropriate in tackling it. [ABSTRACT FROM AUTHOR]

Purpose. Comparable data on distribution of family income provide reference point for determining economic performance of any country, opportunity to assess effects of income inequality and poverty drivers that are either country- or region-specific. This study analysed the effectiveness of composite indices of public spending on family benefits, labour productivity, macroeconomic performance indicators and moderating factors in reducing income inequality and poverty gap in the Group of Seven (G7) countries from 1980 to 2019. Methodology. The study employed fixed effects Least Squares regression model in panel environment within the framework of empirical econometric methodologies. The composite indices comprised public spending on family benefits in cash and kind, unemployment allowance payments, tax on personal income, labour productivity, harmonised unemployment rate, consumer price index, real GDP growth rate, GDP per capita and per hour worked, fertility rate and trade. After graphical analysis of the data, order of integration was via unit root tests. Hausman test was carried out to choose between fixed and random effects models. Subsequently, parameters of the models were estimated and evaluated for significance at the 0.05 critical level. Findings. The results showed that percentage changes in income inequality and poverty gap indices differed for same percentage change in components of the composite indices. Some variable-specific percentage changes in income inequality and poverty gap were statistically significant, while others were not. However, the overall percentage changes was statistically significant. The paper concluded that while some specific effectiveness of the explanatory variables in reducing income inequality and poverty gap was not significant, their joint effectiveness significantly reduced poverty. Therefore, it is pertinent that family-oriented fiscal policy thrusts should be strengthened and sustained so as to continually reduce income inequality and, ultimately, narrow poverty gap in the countries. Limitations. The study considered the G7 countries for a period of 40 years. The limitations were that the variables considered to influence income inequality and poverty gap in the countries were both exhaustive. Also, the results were conditioned to the method used, and different methods can alternatively be used by other researchers and the results compared with this. Originality. The study is original research paper. It has neither been published in any other peer-reviewed journal not under consideration for publication by any other journal.

Due to the lack of good-quality data, there has been no sound research about the economic welfare of the Romani in the countries where they live. Drawing on a comprehensive survey conducted on the economic welfare of the Romani people in Turkey, we employed multidimensional poverty measures to capture the structural side of the poverty of the Romani in Turkey, in a comparative manner with the non-Romani majority. The paper also decomposes the determinants of the multidimensional poverty. This helps us to identify the structural, personal characteristics and discrimination components of the poverty. This simultaneously allows us to comprehend the endowment and discrimination effects of different income layers of both groups. [ABSTRACT FROM AUTHOR]

The bivariate Fay–Herriot model is an area-level linear mixed model that can be used for estimating the domain means of two correlated target variables. Under this model, the dependent variables are direct estimators calculated from survey data and the auxiliary variables are true domain means obtained from external data sources. Administrative registers do not always give good auxiliary variables, so that statisticians sometimes take them from alternative surveys and therefore they are measured with error. We introduce a variant of the bivariate Fay–Herriot model that takes into account the measurement error of the auxiliary variables and we give fitting algorithms to estimate the model parameters. Based on the new model, we introduce empirical best predictors of domain means and we propose a parametric bootstrap procedure for estimating the mean squared error. We finally give an application to estimate poverty proportions and gaps in the Spanish Living Condition Survey, with auxiliary information from the Spanish Labour Force Survey. [ABSTRACT FROM AUTHOR]

Zakat is a system in Islam that is designed to allocate the wealth from the rich to the poor and the needy. The effectivity of zakat in reducing poverty has been proven in the history of Islam. Nevertheless, nowadays, Zakat is still unable to eliminate poverty. Bad planning and organizing of zakat are the main reason for that especially the less information about the potency of zakat in each region. Indonesia is a country that is rich in Natural Resources and has many workforces. So, Indonesia may have hidden potential of agricultural and professional zakat. This study tries to calculate the potency and the impact of the zakat on reducing poverty. The effect will be examined descriptively and statistically and also will be presented by mapping all the provinces in Indonesia. The result shows that there are about 16.1 trillion rupiahs of zakat potential furthermore able to reduce the poverty rate in Indonesia for 0.75 percent. DKI Jakarta is the most affected province by zakat because its poverty rate reaches 0.22 percent. To implement this theory in real practice, the utilization of the mosque to distribute zakat funding where BAZNAS represents as the manager is suggested.

The strategies expected to mitigate poverty tend to identify factors that are closely related to poverty and that could have influenced the policy implications. A household level data was collected to examine the poverty status and factors affecting poverty in Southern Punjab. A logistic regression technique was employed for the present analyses. The findings show that age and education of the household head, own house, spouse participation, remittances, number of earners in the household and physical assets reduces the probability of being poor in Southern Punjab. However, large household size, occupation in the primary sector, high dependency ratio and mental disability are associated with an increased probability of being poor in Southern Punjab. Government should adopt effective policy measures to generate employment and encourage the attainment of education for the poor households for the mitigation of poverty in this region.

The study of poverty and income in equality are the most important subjects of social/ economic research in agriculture sector. The present study focuses on poverty and income inequality among pistachio growers in Kerman province. Absolute poverty line, relative poverty line, poverty gap and intensity were calculated. Also income distribution was investigated using Ginny coefficient, Lorenz curve and income distribution index. The statistical community was all pistachio producers in Kerman province. Data collected through personally interviewing of 200 producer, using multi-stage cluster random sampling, during 2012-2015 cropping years. The results showed that absolute poverty line for pistachio growers in Kerman province was 24000000 (10 Rials) while, relative poverty line was 64922675(10 Rials), annually. Results also indicated that 30 percent of farmers were suffering from absolute poverty while, 57 percent from relative poverty. Income gap for poor pistachio growers under absolute poverty was 0.48, but for poor pistachio growers under relative poverty was 0.60. According to Lorenz curve, Ginny coefficient of 0.66 and income distribution index, it can be concluded that there is an un-fair income distribution among pistachio growers in study area. Finally supporting capital availability specially for small scale poor farmers through low interest credit, production subsidies and national development funds is suggested.

Summary: Poverty mapping is used to facilitate efficient allocation of aid resources, with the objective of ending poverty, the first of the United Nations Sustainable Development Goals. Levels of poverty across small geographic domains within a country are estimated using a statistical model, and the resulting estimates displayed on a poverty map. Current methodology for small area estimation of poverty utilises various forms of regression modelling of household income or expenditure. Fitting sound models requires skill and time, especially where there are many candidate regressors and even more possible interactions. Tree‐based methods have the potential to screen more quickly for interactions and also to provide reliable small area estimates in their own right. A classification tree technique has been presented by Bilton et al. (Comput Stat Data Anal115: 53–66, 2017) for estimating poverty incidence, but although adjustments were made to incorporate complex survey designs and estimate mean square error, classification trees are unable to estimate the associated non‐categorical deprivation measures of poverty gap and poverty severity. The focus of this paper is regression trees, because they enable all three core poverty measures of incidence, gap and severity to be estimated. Using regression trees, two alternative methodologies, parametric and non‐parametric, are explored for producing household level predictions that are then amalgamated up to small‐area level. New methods are developed for mean square error estimation. The properties of the small area estimates based on these regression tree techniques are then evaluated and compared with linear mixed models both by simulation and by using real poverty data from Nepal. The regression tree method is extended to produce small‐area estimates using survey data, enabling estimation of poverty gap and severity, in addition to poverty incidence. [ABSTRACT FROM AUTHOR]

Currently, poverty and food deficiency are prevalent in the region where two-thirds of the population is resided according to World Bank estimates [Klytchnikova (2017). Counting calories: the data behind food insecurity and hunger. The World Bank Data Blog. Available at http://blogs.worldbank.org/opendata/counting-calories-data-behind-food-insecurity-and-hunger?CID=POV%5fTT%5fPoverty%5fEN%5fEXT]. This panel data study is set to analyze the effect of competitiveness, governance and globalization on poverty in case of 73 developing countries from 2005 to 2016. The indicators of governance are extracted from World Governance Indicators, and an overall index is constituted using factor analysis. This study has estimated eight models with different proxies of governance and one without governance. The results estimated using feasible generalized least squares approach which confirmed that all governance indicators have a negative impact on poverty. Similarly, globalization, competitiveness and development expenditures also assist in poverty alleviation. [ABSTRACT FROM AUTHOR]

Purpose. Comparable data on distribution of family income provide reference point for determining economic performance of any country, opportunity to assess effects of income inequality and poverty drivers that are either country- or region-specific. This study analysed the effectiveness of composite indices of public spending on family benefits, labour productivity, macroeconomic performance indicators and moderating factors in reducing income inequality and poverty gap in the Group of Seven (G7) countries from 1980 to 2019. Methodology. The study employed fixed effects Least Squares regression model in panel environment within the framework of empirical econometric methodologies. The composite indices comprised public spending on family benefits in cash and kind, unemployment allowance payments, tax on personal income, labour productivity, harmonised unemployment rate, consumer price index, real GDP growth rate, GDP per capita and per hour worked, fertility rate and trade. After graphical analysis of the data, order of integration was via unit root tests. Hausman test was carried out to choose between fixed and random effects models. Subsequently, parameters of the models were estimated and evaluated for significance at the 0.05 critical level. Findings. The results showed that percentage changes in income inequality and poverty gap indices differed for same percentage change in components of the composite indices. Some variable-specific percentage changes in income inequality and poverty gap were statistically significant, while others were not. However, the overall percentage changes was statistically significant. The paper concluded that while some specific effectiveness of the explanatory variables in reducing income inequality and poverty gap was not significant, their joint effectiveness significantly reduced poverty. Therefore, it is pertinent that familyoriented fiscal policy thrusts should be strengthened and sustained so as to continually reduce income inequality and, ultimately, narrow poverty gap in the countries. Limitations. The study considered the G7 countries for a period of 40 years. The limitations were that the variables considered to influence income inequality and poverty gap in the countries were both exhaustive. Also, the results were conditioned to the method used, and different methods can alternatively be used by other researchers and the results compared with this. Originality. The study is original research paper. It has neither been published in any other peer-reviewed journal not under consideration for publication by any other journal. [ABSTRACT FROM AUTHOR]

An alarming new report from Oxfam points to extreme levels of global economic and social inequality ten years on from the international financial crisis. This is largely attributed to the under-taxing of the world's wealthiest one per cent, cuts to public services and gender discrimination. The article argues that it's time for the one percent to start paying their way. [ABSTRACT FROM AUTHOR]

Using a panel of 13 tourism-intensive economies for the period 1995–2012, this paper shows that rising growth in tourism which is proxied by tourism receipts to GDP ratio has an impact on poverty conditional on the poverty measure used. Using a panel Vector Autoregression method, there is little evidence to suggest that growth in tourism reduces headcount poverty. However, the poverty gap measure shows that the amount of money needed to help the poor out of poverty is significantly reduced. Based on different types of Gini coefficient, the results fail to find an improvement in income inequality resulting from tourism growth. Alternative measures such as relative poverty and poverty gap may be considered to better assess the impact of tourism on the poor. [ABSTRACT FROM AUTHOR]

Internal migration has a pivotal contribution to mitigate household income risk, particularly for those in lower socio-economic groups. This research applies the theory of New Economies of Labour Migration to analyse three years of household-level panel data collected by BRAC for evaluating the outcome of internal migration on household welfare. Welfare is analysed using three key outcome variables, namely household income, capability for asset building, and poverty gap. Remittances significantly enhance household-level welfare and vice versa. The study observes that migrant households earn higher, build more assets, and reduce the poverty gap than nonmigrant households. [ABSTRACT FROM AUTHOR]

The paper investigates the relationship between social capital and the standard living of the Italian households based on poverty and social exclusion. The analysis is developed at the regional level through cross-sections based in the year 2002 and in the year 2003. The indices of social capital that we use are the associational activity a la Putnam and a new proxy based on the regional density of industrial districts. By using the empirical model advanced by Grootaert (2001) we find that our results confirm the theory of social capital and poverty transition mechanism advanced by Narayan and Woolcock (2000). Moreover we find significant and negative correlation between social capital and the measures of social exclusion. All these results drive the paper to the conclusion that social capital is positively correlated to higher level of living standard.

The Impact of micro-credits on household’s poverty gap is considered as one of the most important social and economic issues. In this research, the socio- economic characteristics of the borrowing households are identified by using a Logit model, based on the urban and rural household budget survey data for 2011. Then, the impact of micro-credits on poverty gap of poor households is examined by estimating regression models. The result of the Probit analysis indicates that the coefficients of the age of household head, employment of the household head, household size, and urbanization are significantly positively related to households’ access to credit. However, the coefficient of household expenditure is negatively related to households’ access to credit. This implies that the low-income household is more likely to have not access to micro-credits. Also, the regression analysis shows that the access to micro-credits is not a significant explanatory variable for poverty gap of the poor households. This indicates the micro-credits has no impact on the poverty reduction of the poor households.

Highlights • Examined early development in two rural, low-income areas. • Described levels of early cognitive, language, executive functioning, and social skills. • Compared skills by family poverty status, and found large differences by 2-3 years of age. Those differences largely accounted for differences by poverty status at entry to school Abstract The gap in school readiness skills between children growing up in poverty and other children has become a major policy issue as increasing proportions of families are living in poverty, especially in low-wealth rural communities. The purpose of this paper was to document the degree to which depth, persistence, and timing of poverty was related to the early development of children in a representative sample of 1,292 families in two of the four poor rural regions in the United States, labeled Appalachia and the Black South. Analyses documented the emergence of the poverty gap in the child's first 5 years of life, asking when the gap emerged and whether it continued to grow through the early childhood period. Findings indicated that families who experienced poverty during the child's first 2-years showed substantially lower cognitive, language, executive functioning, and social skills by 2 to 3 years of age (0.5 to 1.0 SD difference) and these gaps appeared to stabilize between 3 and 5 years of age. Transitions into deep poverty during the preschool period (3- to 5-years) were also related to substantially lower scores, and to a lesser extent, transitions out of poverty were related to higher skill levels. Accounting for baseline demographic and maternal characteristics diminished the poverty gap, but did not eliminate it. The poverty gaps at 3-years in language, executive functioning, and social skills accounted for much of the poverty gaps observed at 5-years. Policy implications for early care and education programming are discussed. [ABSTRACT FROM AUTHOR]

Research on achievement gaps by race/ethnicity and poverty status typically focuses on each gap separately, and recent syntheses suggest the poverty gap is growing while racial/ethnic gaps are narrowing. In this study, we used time-varying effect modeling to examine the interaction of race/ethnicity and poverty gaps in math and reading achievement from 1986-2005 for poor and non-poor White, Black, and Hispanic students in three age groups (5-6, 9-10, and 13-14). We found that across this twenty-year period, the gaps between poor White students and their poor Black and Hispanic peers grew, while the gap between non-poor Whites and Hispanics narrowed. We conclude that understanding the nature of achievement gaps requires simultaneous examination of race/ethnicity and income. [ABSTRACT FROM AUTHOR]

Persistent education inequality is a complex problem in the United States, and, despite efforts to promote equity, education performance and attainment remain highly related to characteristics of students' families, schools, and neighborhoods. Systemic interventions are designed to address complex problems through the identification and purposeful incorporation of knowledge from the multiple systems implicated in a problem. Although systemic intervention approaches are not widely reported in education, they have yielded positive effects in health and human services and are worth investigating in the education context. In this paper we review policy and research evidence related to education inequality and provide an agenda for designing and evaluating systemic interventions to reduce education inequality. [ABSTRACT FROM AUTHOR]

In the current paper, we employ the most recent Programme for International Student Assessment (PISA) data to calculate a lessbiased estimate of poverty on US achievement. The PISA was specifically chosen as it is an assessment removed from a specific curriculum and instead focuses on concepts that students should know in order to participate in a global economy. Using a propensity score matching approach, our findings suggest that US students in poverty have notable educational attainment deficiencies compared to a matched group of students who are not in poverty. In other words, when we select two students who have a great deal in common but for the fact that one comes from a poverty background, the student in poverty is expected to perform nearly 28 points, or about a quarter of a standard deviation lower, on the PISA assessment. In real terms, this puts math achievement for children not in poverty on-par with the Organisation for Economic Co-operation and Development (OECD) average, while children in poverty are well below the OECD average. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Economics & Administrative Sciences is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The paper proposes to derive some new poverty indices which depend on aging classes. We also give some properties of it and show the connection between economic measure and new poverty measures these based on the concept of reversed residual incomes. In addition, the characterization of Pareto distribution based on new poverty functions is obtained. Furthermore, the stochastic orderings of new poverty indices are studied and their properties. In addition, the weighted poverty gap indices and stochastic dominance which involve the concept of inactivity incomes and its features are studied.

Reducing income inequality is one of the seventeen Sustainable Development Goals recently announced by United Nations. A relative poverty concept adopted by Organization for Economic Co-operation and Development countries is that a household is defined as poor if the household income is below 50 % of the household size-specific median household income. By delineating the impact of different factors relating to poverty measures help to develop more focused efforts in alleviating poverty. The paper uses a decomposition analysis to examine the impact of population dynamics on changes in poverty measures in Hong Kong, a Special Administrative Region of China, over the period 2009-2014. The poverty rate, size, and gap are separately considered in the analysis. Decomposing the changes in poverty rate and size shows that demographic trends in the whole population (ageing and shrinking household size and population growth) contributed to the rise in the respective measures even though the overall poverty rate had declined during 2009-2014. For the decomposition of the change in the monthly total poverty gap, the majority of the overall increase was contributed by increases in the average gap within subgroups, with only a small contribution made by changes in age and household size within the poor population. The effectiveness of recurrent cash intervention by the Hong Kong government in poverty alleviation is assessed, and its positive impact in reducing poverty rate, size and gap is verified. The limitations in the use of the relative poverty line are also discussed. [ABSTRACT FROM AUTHOR]

The relationships between poverty and children’s health have been well documented, but the diverse and dynamic nature of poverty has not been thoroughly explored. Drawing on cumulative disadvantage and human capital theory, we examined to what extent the duration and depth of poverty, as well as the level of material hardship, affected changes in physical health among children over time. Data came from eight waves of the Korea Welfare Panel Study between 2006 and 2013. Using children who were under age 10 at baseline (N = 1657, Observations = 13,256), we conducted random coefficient regression in a multilevel growth curve framework to examine poverty group differences in intra-individual change in health status. Results showed that chronically poor children were most likely to have poor health. Children in households located far below the poverty line were most likely to be in poor health at baseline, while near-poor children’s health got significantly worse over time. Material hardship also had a significant impact on child health. [ABSTRACT FROM PUBLISHER]

In this study, we examine the impact of the 2008 Global Crisis on poverty gap across the globe. We look at the populations living on less than $1.25, $2, $2.50, $4, and $5 a day. We find that before the crisis, the poverty gap had been declining especially for the relatively less-poor population (i.e. the population living on less than $4 or $5 a day). This improvement in the poverty gap stopped after the crisis. When we examine the rural poverty gap and the urban poverty gap pre- and postcrisis, we find similar results. During the pre-crisis period, both rural and urban poverty gap had declined, but after the crisis, this improvement stopped. Overall, we suggest policymakers to focus on both rural and urban poverty rates when facing an economic crisis. We also suggest policymakers to focus on protecting the relatively less-poor population (i.e. the population living on less than $4 or $5 a day) since this group is the one that suffers the most due to an economic crisis. [ABSTRACT FROM AUTHOR]