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Abstract
The study profiled and compared household multidimensional poverty status and its determinants among urban and rural households in the Eastern Cape Province of South Africa, using information from a sample population of 3033 households interviewed from the Province during the General Household Survey conducted by the Statistics South Africa in 2014. Analytical techniques utilized include the recent multidimensional poverty index (MPI), descriptive statistics and Tobit regression. Findings reveal that multiple deprivations are found mostly in the rural area of the province; the multidimensional headcount is highest in the rural area, though the intensity of multidimensional poverty is almost similar in both geographical locations. The standard of living dimension is also the largest contribution to MPI in both locations. MPI has significant links with education attainment of household head, access to electricity and asset stock in both geographical locations, but is influenced by the gender of head, agriculture engagement and household monthly income in rural areas only. In order to improve households' multidimensional poverty status in both urban and rural locations, there is the need to take into account some significant variables such as education of head, increase electricity subsidy coverage during winter period, asset accumulation and increase in households' participation in agricultural activities, especially those residing in rural areas.

In this study, the definition of poverty and the determinants of poverty are discussed in detail. After examination of the poverty situations of all income groups according to World Bank classification have been analyzed separately by the method of regression. According to the analysis conducted by the method of dynamic panel generalized least square regression, impact on current poverty from the previous year and the current growth of poverty has been observed, yet the effects of inflation on poverty are controversial. The exchange rate is not included in the regression because the two-main macroeconomic discussed determinants of poverty in the literature are used in the regression as control variables that there is multicollinearity between exchange rate, growth and inflation. This study points out that in the struggle against the poverty, the most important contribution is gained with economic growth. Since high volatility in price level and exchange rates prevents the growth, inflation and exchange rate policies assessed in the perspective of the importance of growth policy.

AbstractUsing an improved poverty line, this paper provides incidence and trends of poverty and examines poverty dynamics in Nigeria using the General Household Survey panel data. Estimates show a considerably lower poverty incidence compared with previous figures. Poverty incidence, however, increased, albeit marginally, within the periods under study. Results from transition model indicate that small households and male‐headed households are less likely to remain in poverty, less likely to fall into poverty and more likely to stay non‐poor. Estimates from consumption growth model identify a low level of initial education, large initial household size and lack of economic opportunities as factors that keep households in poverty over time. Copyright © 2018 John Wiley & Sons, Ltd.

This article examines the relationship between tax credits and in-work poverty, drawing on the findings from a major national study on in-work poverty. We present an analysis of (i) the income packages of working families and (ii) the performance of tax credits in relation to anti-poverty objectives, drawing on data from the Households Below Average Income survey between 2004/5 and 2014/15. Our study generates five novel findings, including that tax credits reduce the poverty gap of recipient households by two-thirds; that tax credit cuts post-2010/11 have served to focus payments on single parent families and households with greater numbers of children; and that tax credits make up just one third of the social security income of working households. We argue that understanding in greater depth the interaction between tax credits and income adequacy amongst working families is necessary to provide a firmer foundation for an effective assault on in-work poverty.

"Estimates of poverty and inequality are often based on application of a single equivalence scale, despite the fact that a large number of different equivalence scales can be found in the literature. This paper describes a framework for sensitivity analysis which can be used to account for the variability of equivalence scales and allows to derive variance estimates of results of sensitivity analysis. Simulations show that this method yields reliable estimates. An empirical application reveals that accounting for both variability of equivalence scales and sampling variance leads to confidence intervals which are wide." (author's abstract)