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The extent to which means-tested transfers, social insurance, and tax credits fill the gap between a family's private resources and the poverty threshold is a periodic barometer of the social safety net. Using data on families from the Current Population Survey I examine how the level and composition of before- and after-tax and after-transfer poverty gaps changed in response to changes in the policy and economic landscapes over the past two decades. The estimates presented here indicate not only dramatic changes in the level and sources of income maintenance programs filling the poverty gap, but also dramatic changes in which demographic groups successfully fill the gap. From the peak-to-peak business-cycle years of 1979 to 1999, the fraction of the gap left unfilled among non-elderly families in poverty has expanded by 25 percent, while the unfilled gap has increased by 50 percent among single female-headed families, families headed by non-whites, and families residing in the Northeast. In a given year the poor in the South fill considerably less of the poverty gap with cash welfare, but make up for much of the shortfall with higher payments of food stamps, SSI, and SSDI. Over time the poor in all regions of the country have substituted SSI, SSDI, and the EITC for cash welfare. Indeed, by 1999 the unfilled gap for families with related children present would be one-fifth larger without the EITC. With the exception of married-couple families, this apparent rate of replacement of disability payments and tax credits for cash welfare is less than one for one, leaving most poor families, especially non-white families and single female-headed families, financially more vulnerable today than in previous decades.

This paper examined the inclusive growth position of sub-Saharan Africa (SSA) through the metrics of poverty-gap, bottom20 and employment. Through these indicators, the study investigated the effects of domestic-investment on inclusive-growth and established the moderating impact of governance in the domestic investment-inclusive growth nexus. It further accounted for potential nonlinearity and investigated the governance threshold that moderates domestic investment-inclusive growth relationships.

Using a sample of 41-SSA countries, the paper employed the fixed effect (FE) with the Driscoll and Kraay nonparametric consistent covariance matrix estimator, the generalized method of moments (GMM) and the dynamic-panel threshold techniques.

The poverty-gap metric showed that with increasing GDP-growth, the income of the poor falls below the poverty-line, suggesting that GDP-growth episodes may have widened the poverty-gap and contributed minimally to reducing it. Findings revealed insignificant effects of GDP-growth on the bottom-20 metric while the employment-metric indicated that the “jobless-growth” phenomenon remained valid. The authors essentially established that economic growth has not been inclusive but the complementary roles played by domestic-investments and governance are essential requirements for achieving inclusive growth. The threshold-modeling indicated that countries in the upper-regime of governance gained more in reducing poverty gaps, increasing income shared by the bottom-quintile and improving employment for every percentage increase in investment. The authors confirmed nonlinearity and showed that there exists a governance threshold that respective governments in Africa must reach for domestic-investment to enhance inclusive growth.

The paper accounted for cross-sectional dependence, nonlinearity and the governance threshold needed for domestic-investment to stimulate inclusive growth.

The impacts of median income and other variables on the Sen index of poverty in the United States are investigated using panel data with fixed time period and cross sectional effects. Estimates for the Sen index and its decomposed components – the headcount ratio, poverty gap ratio, and Gini coefficient among the poor reveal that median income among state/regions and across time systematically influences the Sen index and each of its components. However, the results reveal that labor market and demographic control variables have quite different effects on the distinct components of the Sen index.

The main purpose of this paper is to construct a poverty profile for Sri Lanka, and examine the micro‐level determinants and correlates of poverty.

The study is based on the latest Sri Lanka Integrated Survey commissioned by the World Bank. The unconditional poverty profile was constructed using three different poverty measures (poverty headcount, average poverty gap and squared poverty gap), nested in the Foster‐Greer‐Thorbecke index. The conditional poverty profile was constructed on the basis of a multivariate analysis of poverty correlates. Partial correlates of poverty are computed using two comparable methodologies. First, a logistic regression was estimated, with the probability of a household being in poverty as the dependent variable and a set of economic and demographic variables as correlates. Second, the quantile regression approach was utilized to examine the correlates of per capita consumption at different points on the distribution.

The empirical findings are broadly encouraging. The estimation results show that the education of the household head, being salary employed and being engaged in business have a significant positive effect on the standard of living. The probability of being poor increases with the household size, household head being female, living in a rural area, and being a casual wage earner. These findings indicate the importance of a set of policies which are super pro‐poor, namely increasing school enrolment and achievement, effective family planning programs to reduce the birth rate and dependency load within households, and granting priorities for specific cohorts (children‐, elderly‐, rural‐ and female‐headed households) in targeted interventions.

This is the first study that examines the probable determinants and correlates of Sri Lankan poverty in a multivariate framework employing both logit and quantile regressions.

Empirical research on the relationship between financial inclusion and economic growth has neglected the influence of religion or secularism. This study aims to investigate the effect of financial inclusion on economic growth in religious and secular countries.

The financial inclusion indicators are the number of automated teller machines (ATMs)per 100,000 adults and the number of bank branches per 100,000 adults. These two indicators are the accessibility dimension of financial inclusion based on physical points of service. The two-stage least square (2SLS) regression method was used to analyze the effect of financial inclusion on real gross domestic product (GDP) per capita growth and real GDP growth in religious and secular countries.

Bank branch contraction significantly increases economic growth in secular countries. Bank branch expansion combined with greater internet usage increases economic growth in secular countries while high ATM supply combined with greater internet usage decreases economic growth in secular countries. This study also finds that bank branch expansion, in the midst of a widening poverty gap, significantly increases economic growth in religious countries, implying that financial inclusion through bank branch expansion is effective in promoting economic growth in poor religious countries. It was also found that internet usage is a strong determinant of economic growth in secular countries.

Few studies in the literature examined the effect of financial inclusion on economic growth. But the literature has not examined how financial inclusion affects economic growth in religious and secular countries.

In this paper I investigate the nature of the differential in poverty by ethnicity in rural China using data from the Chinese Household Income Project in 2002. For that, I compare observed poverty with that in a counterfactual distribution in which ethnic minorities are given a set of relevant village and household characteristics of the Han majority. In particular, I investigate the importance of the location of minorities in explaining their higher poverty levels. The ethnic poverty differential does not change after equalizing the distribution of the population by geographical region (unless we use a higher poverty line). However, it is reduced after equalizing other locational characteristics of minorities (such as them living in less developed and mountainous areas), their larger number of children, their low education, and their fewer skilled non-agriculture workers. Finally, the ethnic per capita (log) income differential is shown to be higher for higher percentiles, with an increasing role of the geographical region as the main driver of these higher differentials.

This paper deals with poverty decompositions into subgroups defined with respect to intervals of income and the robustness of comparisons of the absolute contribution of such groups to poverty. For instance, world poverty estimates by the World Bank often distinguish between the extreme poor whose incomes are lower than $1.25 a day (in PPP terms) and the other poor with incomes between $1.25 and $2.5 a day. Existing dominance conditions can tell whether overall poverty and extreme poverty have declined in a robust manner when comparing countries at two points of time, but they cannot say anything for the contribution of the non-extreme poor to overall poverty. In the present paper we propose stochastic generalized dominance criteria to perform robust poverty ordering when the focus is placed on some interval of the poverty domain. Using generated data based on grouped data from World Bank’s PovcalNet tool, the paper finally investigates whether the robust decline of extreme poverty around the world during the last decades was also accompanied by a decline of the contribution of non-extreme poverty.

The purpose of this paper examines how the challenge of poverty can be effectively addressed by broadly adopting Islamic value based cooperative model (IVCM) where the members come together to overcome and eventually eradicate the curse of poverty for themselves and for their future generations.

The elimination of poverty by adopting IVCM and its impact on the cooperative members, as well as its effects on major macroeconomic variables, are examined on the theoretical ground by using the general equilibrium model of demand and supply-side variables.

The IVCM for the elimination of poverty reveals that the poverty gap can be eliminated through resource mobilization, as well as by creating new and additional income, wealth and resources through collaborative efforts. Through cooperative organizations based on Islamic values and principles, eventually, the entire poverty pool can enjoy income-earning opportunities through employment or self-employment, as well as promoting skills and education, leading to breaking the vicious cycle of poverty.

Cooperatives in general and Islamic cooperatives, in particular, are not new in the discourse about poverty. Indeed, there are cooperatives throughout the Muslim world and beyond and there are many studies related to cooperatives and their role in development. However, this might be the first theoretical contribution that models the role and impact of cooperatives in a macroeconomic framework, and thus, advances the scientific repertoire of knowledge and understanding about the related discourse by developing a rigorous mathematical model.

Using real-time data from the University of Luxembourg’s COME-HERE nationally representative panel survey, covering more than 8,000 individuals across France, Germany, Italy, Spain, and Sweden, the author investigates how income distributions and poverty rates have changed from January to September 2020. The author finds that poverty rates increased on average in all countries from January to May and partially recovered in September. The increase in poverty is heterogeneous across countries, with Italy being the most affected and France the least; within countries, COVID-19 contributed to exacerbating poverty differences across regions in Italy and Spain. With a set of poverty measures from the Foster–Greer–Thorbecke family, the author then explores the role of individual characteristics in shaping different poverty profiles across countries. Results suggest that poverty increased disproportionately more for young individuals, women, and respondents who had a job in January 2020 – with different intensities across countries.

Micro-businesses contribute to economic development by improving individual welfare. Women are the primary drivers and owners of such businesses in urban Ethiopia. The purpose of this study is to investigate the poverty status and determinants among women-owned micro-businesses.

The basic study units were women who owned micro-businesses. A sample of 384 women-owned micro-business was chosen using a stratified and systematic random sampling technique. Thirty-six participants were purposely chosen for in-depth interviews and focus group discussions. Questionnaires, in-depth interviews and focus group discussions were used to collect data. The poverty head count, poverty gap and poverty severity indices were computed to estimate poverty status. The major determinants of women’s poverty were investigated using a logistic regression model.

The overall poverty incidence, gap and severity were estimated to be 24.27%, 3.85%, and 1.11% respectively, among the women who owned micro-businesses. Eight of the 14 poverty determinants, including age, dependents, savings, remittance and the number of days and hours women work in their businesses, were found to have a significant effect on women’s poverty. The results suggest that local governments, technical and vocational training institutions should work together to reduce the impact of poverty-aggravating factors on women and increase the contribution of women-owned micro-businesses to poverty reduction.

This study addressed the poverty status of women who run micro-businesses, which is a crucial issue in Ethiopia’s urban context. It adds new knowledge to the issue of gendered economic participation, poverty reduction and poverty determinants in the Ethiopian context.