Measuring welfare for small but vulnerable groups poverty and disabiity in Uganda

When vulnerable population groups are numerically small -as is often the case, obtaining representative welfare estimates from non-purposive sample surveys becomes an issue. Building on a method developed by Elbers, Lanjouw and Lanjouw (2003) it is shown how, for census years, estimates of income poverty for small vulnerable populations can be derived by combining sample survey and population census information. The approach is illustrated for Uganda, for which poverty amongst households with disabled heads is determined. This is possibly the first time that, for a developing country, statistically representative information on income poverty amongst disabled people is generated.Poverty Assessment,VN-Acb Mis -- IFC-00535908,Health Monitoring&Evaluation,Health Economics&Finance,Social Protections&Assistance

Not Separate, Not Equal: Poverty and Inequality in Post-Apartheid South Africa

As South Africa conducts a review of the first ten years of its new democracy, the question remains as to whether the economic inequalities of the apartheid era are beginning to fade. Using new, comparable consumption aggregates for 1995 and 2000, this paper finds that real per capita household expenditures declined for those at the bottom end of the expenditure distribution during this period of low GDP growth. As a result, poverty, especially extreme poverty, increased. Inequality also increased, mainly due to a jump in inequality among the African population. Even among subgroups of the population that experienced healthy consumption growth, such as the Coloureds, the rate of poverty reduction was low because the distributional shifts were not pro-poor.http://deepblue.lib.umich.edu/bitstream/2027.42/40125/3/wp739.pd

Which inequality matters? Growth evidence based on small area welfare estimates in Uganda

Existing empirical studies onthe relation between inequality and growth have been criticized for their focus on income inequality and their use of cross-country data sets. Schipper and Hoogeveen use two sets of small area welfare estimates-often referred to as poverty maps-to estimate a model of rural per capita expenditure growth for Uganda between 1992 and 1999. They estimate the growth effects of expenditure and education inequality while controlling for other factors, such as initial levels of expenditure and human capital, family characteristics, and unobserved spatial heterogeneity. The authors correct standard errors to reflect the uncertainty due to the fact that they use estimates rather than observations. They find that per capita expenditure growth in rural Uganda is affected positively by the level of education as well as by the degree of education inequality. Expenditure inequality does not have a significant impact on growth.Inequality,Governance Indicators,Achieving Shared Growth,Health Monitoring&Evaluation,Poverty Impact Evaluation

Not Separate, Not Equal: Poverty and Inequality in Post-Apartheid South Africa

As South Africa conducts a review of the first ten years of its new democracy, the question remains as to whether the economic inequalities of the apartheid era are beginning to fade. Using new, comparable consumption aggregates for 1995 and 2000, this paper finds that real per capita household expenditures declined for those at the bottom end of the expenditure distribution during this period of low GDP growth. As a result, poverty, especially extreme poverty, increased. Inequality also increased, mainly due to a jump in inequality among the African population. Even among subgroups of the population that experienced healthy consumption growth, such as the Coloureds, the rate of poverty reduction was low because the distributional shifts were not pro-poor.Poverty, Inequality, South Africa

Growth, inequality, and simulated poverty paths for Tanzania, 1992-2002

Although Tanzania experienced relatively rapid growth in per capita GDP in the 1995–2001 period, household budget survey (HBS) data show only a modest and statistically insignificant decline in poverty between 1992 and 2001. To assess the likely trajectory of poverty rates over the course of the period, changes in poverty are simulated using unit-record HBS data and national accounts growth rates under varying assumptions for growth rates and inequality changes. To this end the projection approach of Datt and Walker (2002) is used along with an extension that is better suited to taking into account distributional changesobserved between the two household surveys. The simulations suggest that following increases in poverty during the economic slowdown of the early 1990s, recent growth in Tanzania has brought a decline in poverty, particularly in urban areas. Unless recent growth is sustained, the country will not meet its 2015 Millennium Development Goal (MDG). Poverty reduction is on track in urban areas, but reaching the MDG target for bringing down poverty in rural areas, where most Tanzanians live, requires sustaining high growth in rural output per capita.Public Health Promotion,Economic Conditions and Volatility,Environmental Economics&Policies,Health Monitoring&Evaluation,Economic Theory&Research,Achieving Shared Growth,Poverty Assessment,Governance Indicators,Economic Conditions and Volatility,Health Monitoring&Evaluation

Primary Education in Togo

This chapter offers an overview of primary education in Togo, spanning the two last decades. Togo made important progress. School enrollment increased considerably and the percentage of school-aged children not attending school dropped significantly. At the same time, learning outcomes give reason for concern as the quality of education appears to be wanting. This challenge is not specific to Togo; it affects other African school systems as well though its seriousness varies from country to country

Policy Suggestions and Concluding Remarks

In this concluding chapter, we summarize the main findings and offer policy suggestions. As the outcome of inadequate learning goes hand in hand with the poor quality of teaching, policy interventions have to embrace programs that radically address the problem. Marginal policies by themselves are unlikely to be sufficient but can be combined with intensive programs aimed at reversing the inadequate learning outcomes. Identifying successful programs is likely to require an involved search process of trying different approaches and scaling up what works best

Student Learning and Teacher Competence

In this chapter, we analyze individual primary school children learning outcomes, using a unique dataset, the SDI dataset that comprises information about learning achievement for students, schools, and teachers. The novelty of the dataset is the collection of information from teachers, testing their knowledge in math, French, and non-verbal reasoning. Our results show that enrolling in a private school and living in an urban area are associated with better learning outcomes, even when the characteristics of the schools and teachers are controlled for. The results also show a worryingly low level of competency for teachers. Overall, the results point to a deep learning crisis, so deep that serious public action is needed to address it: changes at the margin are unlikely to suffice

Effects of acute nutritional ketosis during exercise in adults with glycogen storage disease typeIIIaare phenotype-specific:An investigator-initiated, randomized, crossover study

Glycogen storage disease type IIIa (GSDIIIa) is an inborn error of carbohydrate metabolism caused by a debranching enzyme deficiency. A subgroup of GSDIIIa patients develops severe myopathy. The purpose of this study was to investigate whether acute nutritional ketosis (ANK) in response to ketone-ester (KE) ingestion is effective to deliver oxidative substrate to exercising muscle in GSDIIIa patients. This was an investigator-initiated, researcher-blinded, randomized, crossover study in six adult GSDIIIa patients. Prior to exercise subjects ingested a carbohydrate drink (~66 g, CHO) or a ketone-ester (395 mg/kg, KE) + carbohydrate drink (30 g, KE + CHO). Subjects performed 15-minute cycling exercise on an upright ergometer followed by 10-minute supine cycling in a magnetic resonance (MR) scanner at two submaximal workloads (30% and 60% of individual maximum, respectively). Blood metabolites, indirect calorimetry data, and in vivo 31P-MR spectra from quadriceps muscle were collected during exercise. KE + CHO induced ANK in all six subjects with median peak βHB concentration of 2.6 mmol/L (range: 1.6-3.1). Subjects remained normoglycemic in both study arms, but delta glucose concentration was 2-fold lower in the KE + CHO arm. The respiratory exchange ratio did not increase in the KE + CHO arm when workload was doubled in subjects with overt myopathy. In vivo 31P MR spectra showed a favorable change in quadriceps energetic state during exercise in the KE + CHO arm compared to CHO in subjects with overt myopathy. Effects of ANK during exercise are phenotype-specific in adult GSDIIIa patients. ANK presents a promising therapy in GSDIIIa patients with a severe myopathic phenotype. Trial registration number: ClinicalTrials.gov identifier: NCT03011203

A many-analysts approach to the relation between religiosity and well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β=0.120). For the second research question, this was the case for 65% of the teams (median reported β=0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates