Changes in inequality and poverty in Latin America: Looking beyond income to health and education

This paper uses Demographic and Health Survey data from six Latin American countries to analyze levels and trends of inequality for two important non-income measures of wellbeing, childrenz s stature and adult womenq s educational attainment. Our purpose is to determine whether the worrying trend of increasing income inequality in Latin America is also found in non-income dimensions of well-being. We find that it is not. Almost across the board, health inequality, measured by childreni s stature, and education inequality, measured by young womeni s years of schooling, have fallen in these countries in the late 1980s and 1990s, often dramatically. Further, by decomposing changes in non-income dimensions of poverty into shifts in the mean and changes in the distribution of health and education, we show that reduced inequality has contributed to significant reductions in education poverty, and to a lesser extent, health poverty. This, too, is a very different result from the income inequality literature.inequality, poverty, health, education, Latin America

Three dimensional scattering center imaging techniques

Two methods to image scattering centers in 3-D are presented. The first method uses 2-D images generated from Inverse Synthetic Aperture Radar (ISAR) measurements taken by two vertically offset antennas. This technique is shown to provide accurate 3-D imaging capability which can be added to an existing ISAR measurement system, requiring only the addition of a second antenna. The second technique uses target impulse responses generated from wideband radar measurements from three slightly different offset antennas. This technique is shown to identify the dominant scattering centers on a target in nearly real time. The number of measurements required to image a target using this technique is very small relative to traditional imaging techniques

Inequality and Poverty in Africa in an Era of Globalization: Looking Beyond Income to Health and Education

This paper describes changes over the past 15-20 years in non-income measures of wellbeing?education and health?in Africa. We expected to find, as we did in Latin America, that progress in the provision of public services and the focus of public spending in the social sector would contribute to declining poverty and inequality in health and education, even in an environment of stagnant or worsening levels of income poverty. Unfortunately, our results indicate that in the area of health, little progress is being made in terms of reducing pre-school age stunting, a clear manifestation of poor overall health. Likewise, our health inequality measure showed that while there were a few instances of reduced inequality along this dimension, there was, on balance, little evidence of success in improving equality of outcomes. Similar results were found in our examination of underweight women as an indicator of general current health status of adults. With regard to education, the story is somewhat more positive. However, the overall picture gives little cause for complacency or optimism that Africa has reaped, or will soon reap the potential benefits of the process of globalization.health, education, wellbeing, Africa

Expenditure incidence in Africa: microeconomic evidence

In this paper, we examine the progressivity of social sector expenditures in eight sub-Saharan African countries. We employ dominance tests, complemented by extended Gini/concentration coefficients, to determine whether health and education expenditures redistribute resources to the poor. We find that social services are poorly targeted. Among the services examined, primary education tends to be most progressive and university education is least progressive. The benefits associated with hospital care are also less progressive than other health facilities. Our results also show that, while concentration curves are a useful way to summarise information on the distributional benefits of government expenditures, statistical testing of differences in curves is important.

Reactions of tetrathiotetraimide

The aims of the work described in this thesis are to study the reactions of tetrathiotetraimide and to attempt to systematise its chemistry. Tetra- thiotetraimide is one of the series of sulphur imides S(_x)(NH)(_8-x) derived from octasulphur. The introduction describes the reported chemistry of all known imides derived from octasulphur up to the time of writing, and their behaviour is discussed in terms of seven reaction types. (i) Addition reactions with organic substrates (ii) Adduct formation with Lewis acids (iii) Hydrogen substitution (iv) Hydrogen abstraction (v) Oxidation to thionylimides (vi) Ring degradation (vii) Ring contraction e.g. to S(_4)N(_3)(^+) or (NSCl)(_3) The behaviour of tetrathiotetraimide has been investigated with four types of compounds; (i) metal halides (Lewis acids), (ii) other compounds containing reactive halogen, (iii) organometallic compounds, and (iv) oxygen compounds (all containing the group 0 ). Two new 1:1 adducts of tetrathiotetraimide with AlBr(_3) and A1C1(_3) are described, these are probably σ adducts via donor nitrogen. Ring contraction from the eight-membered (SN)(_4) ring to (a) the seven-membered ring cation S(_4)N(_3)(^+), and (b) the six-membered (SN)(_3) ring-by reaction with the halogens and several active halogen compounds is reported for the first time. Finally, the preparation of a tetrathiotetraimidolithium derivative, and its use as a possible reaction route to (SNX)(_4) derivatives, is discussed

Robust Multidimensional Spatial Poverty Comparisons in Ghana, Madagascar, and Uganda

We investigate spatial poverty comparisons in three African countries using multidimensional indicators of well-being. The work is analogous to the univariate stochastic dominance literature in that we seek poverty orderings that are robust to the choice of multidimensional poverty lines and indices. In addition, we wish to ensure that our comparisons are robust to aggregation procedures for multiple welfare variables. In contrast to earlier work, our methodology applies equally well to what can be defined as "union", "intersection", or "intermediate" approaches to dealing with multidimensional indicators of well-being. Further, unlike much of the stochastic dominance literature, we compute the sampling distributions of our poverty estimators in order to perform statistical tests of the difference in poverty measures. We apply our methods to two measures of well-being, the log of household expenditures per capita and children's height-for-age z-scores, using data from the 1988 Ghana Living Standards Survey, the 1993 Enquêtes Permanente auprès des Ménages i Madagascar, and the 1999 National Household Survey in Uganda. Bivariate poverty comparisons are at odds with univariate comparisons in several interesting ways. Most importantly, we cannot always conclude that poverty is lower in urban areas from one region compared to rural areas in another, even though univariate comparisons based on household expenditures per capita almost always lead to that conclusion.Multidimensional Poverty, Stochastic Dominance, Ghana, Madagascar, Uganda

Polarization: Robust Multidimensional Poverty Comparisons

We investigate how to make poverty comparisons using multidimensional indicators of well-being, showing in particular how to check whether the comparisons are robust to aggregation procedures and to the choice of multidimensional poverty lines. In contrast to earlier work, our methodology applies equally well to what can be defined as "union", "intersection" or "intermediate" approaches to dealing with multidimensional indicators of well-being. When one of two indicators is discrete, our methods specialize to those that have previously been developed to deal with household composition heterogeneity. To make these procedures of some practical usefulness, the paper is also the first to derive the sampling distribution of various multidimensional poverty estimators, including estimators of the "critical" poverty frontiers outside which multidimensional poverty comparisons can no longer be deemed ethically robust. The results are illustrated using data from a number of developing countries.Multidimensional Poverty, Stochastic Dominance