Differences between sources of government expenditure in education and health, Tanzania

Reliable data on government expenditure in priority sectors, such as health and education, is a key ingredient into the analysis of public policy effectiveness. This brief note has two primary goals: (i) to document the increasing divergence over time between various official Tanzanian data sources on spending in these two sectors, and (ii) to outline possible explanations for this divergence and highlight its consequences for social expenditure analysis

Multidimensional Poverty Measures from an Information Theory Perspective

This paper proposes to use an information theory approach to the design of multidimensional poverty indices. Traditional monetary approaches to poverty rely on the strong assumption that all relevant attributes of well-being are perfectly substitutable. Based on the idea of the essentiality of some attributes, scholars have recently suggested multidimensional poverty indices where the existence of a trade-off between attributes is relevant only for individuals who are below a poverty threshold in all of them (Bourguignon and Chakravarty 2003, Tsui 2002). The present paper proposes a method which encompasses both approaches and, moreover, it opens the door to an intermediate position which allows, to a certain extent, for substitution of attributes even in the case in which one or more (but not all) dimensions are above the set threshold. An application using individual well-being data from Indonesian households in 2000 is presented in order to compare the results under the different approaches.

Comparing Multidimensional Indices of Inequality: methods and application

The paper provides an examination into the measures of multidimensional inequality proposed in the past few years, their properties and majorization criteria. It offers a generalisation of Bourguignon index proposed so that it includes Tsui measures (1999) while preserving the virtues of Maasoumi’s method (1986) of explicitly acknowledging the role of parameters relevant of multivariate settings. An application to the Argentine data is provided to illustrate the decisions involved in the process of applying these measures and the usefulness of having appropriate criteria for the choice.Inequalities, Multidimensional Distributions, Well-being, Multivariate indices.

Multidimensional Poverty Measures from an Information Theory Perspective

This paper proposes to use an information theory approach to the design of multidimensional poverty indices. Traditional monetary approaches to poverty rely on the strong assumption that all relevant attributes of well-being are perfectly substitutable. Based on the idea of the essentiality of some attributes, scholars have recently suggested multidimensional poverty indices where the existence of a trade-off between attributes is relevant only for individuals who are below a poverty threshold in all of them (Bourguignon and Chakravarty 2003, Tsui 2002). The present paper proposes a method which encompasses both approaches and, moreover, it opens the door to an intermediate position which allows, to a certain extent, for substitution of attributes even in the case in which one or more (but not all) dimensions are above the set threshold. An application using individual well-being data from Indonesian households in 2000 is presented in order to compare the results under the different approaches.Multidimensional Poverty, Information Theory

Heterogenous peer effects, segregation and academic attainment

Socioeconomic segregation is often decried for denying poorer children the benefits of positive'peer effects'. Yet standard, linear-in-means models of peer effects (a) implicitly assume that segregation is zero sum, with gains and losses to rich and poor perfectly offsetting, and (b) rule out theories of'social distance'whereby peer effects are strongest among similar pairings. The paper exploits the random assignment of pupils between classes to identify more general peer effects in Argentine test-score data. Estimates violate both assumptions (a) and (b), and provide micro foundations for the correlations between school segregation, average test-scores, and test-score inequality in municipality-level data.Tertiary Education,Education For All,Secondary Education,Primary Education,Teaching and Learning

Employment: A proposal for internationally comparable indicators

Employment is the main source of income for most families in the world. While it is certainly not a new dimension of well-being, it is sometimes forgotten in human development studies and poverty reduction policies or, at least, not considered in the depth it deserves. This paper proposes seven indicators of employment to be added to multi-purpose household surveys which, we argue, are crucial to a comprehensive understanding of causes and implications of poverty around the world. Traditional approaches to labour market indicators present two main weaknesses. First, in most cases, they are not as relevant in the developing world as they are in developed economies, and hence do not provide an accurate picture of labour markets in these countries. Second, surveys that collect a broader set of questions on employment do not always include extensive questions on the household and its members. The indicators proposed are informal employment; income from employment (including self-employment earnings); occupational hazard; under/over employment; multiple activities; and discouraged unemployment. The aim is to complement ‘traditional’ indicators to provide a deeper understanding of both the quantity and quality of employment.

Measuring growth and poverty in Tanzania

Tanzania is not on track to meet its Millennium Development Goals target despite a growth record that – as reported – is impressive. Real GDP growth reached historically high levels between 2000-2006, yet this is set against only the slightest reduction in the poverty rate – from 35.7% in 2001 down to 33.4% in 2007

Income and beyond: Multidimensional poverty in six Latin American countries

This paper presents empirical results of a wide range of multidimensional poverty measures for: Argentina, Brazil, Chile, El Salvador, Mexico and Uruguay, for the period 1992–2006. Six dimensions are analysed: income, child attendance at school, education of the household head, sanitation, water and shelter. Over the study period, El Salvador, Brazil, Mexico and Chile experienced significant reductions of multidimensional poverty. In contrast, in urban Uruguay there was a small reduction in multidimensional poverty, while in urban Argentina the estimates did not change significantly. El Salvador, Brazil and Mexico together with rural areas of Chile display significantly higher and more simultaneous deprivations than urban areas of Argentina, Chile and Uruguay. In all countries, access to proper sanitation and education of the household head are the highest contributors to overall multidimensional poverty.Multidimensional poverty measurement, counting approach, Latin America, Unsatisfied Basic Needs, rural and urban areas.

The incidence of subsidies to residential public services in Argentina: The subsidy system in 2014 and some alternatives

More than a decade of energy and transport subsidies have weakened Argentina's fiscal capacity. Following the 2001 crisis, public services tariffs were frozen in an attempt to offset the negative effects on households' real purchasing power. However, these subsidies steadily increased over the years, particularly since 2006, becoming a significant fiscal burden. Though subsidies can be a tool to protect the poor, in Argentina they led to distortions and a large share have been absorbed by upper classes and non-residential consumers. This paper first analyzes the incidence of the 2014 system of residential federal subsidies to residential public services (defined as electricity, gas, water and transport) and then simulates the distributional impacts of alternative subsidy structures. Simulations on the electricity sector suggest that targeting consumption levels through a simple lifeline tariff is not sufficient to achieve a propoor incidence of subsidies. Instead, explicit targeting is necessary (though not sufficient) and needs to ensure comprehensive coverage of the poorest households. Similarly, on the transport sector show that the existing tariffs are not well-targeted, but that an expanded set of social programs could improve coverage of the poorest. Gas subsidy simulations showed that a social tariff would virtually eliminate the subsidy, suggesting that there is little overlap between the receipt of social programs and access to piped gas

Multidimensional Poverty Analysis: Looking for a Middle Ground

Widespread agreement that poverty is a multifaceted phenomenon, encompassing deprivations along multiple dimensions, clashes with often vociferous disagreement about how best to measure these deprivations. Drawing on the recent literature, this short note proposes three methodological alternatives to the false dichotomy between scalar indices of multidimensional poverty, on the one hand, and a dashboard approach that looks only at marginal distributions, on the other. These alternatives include simple Venn diagrams of the overlap of deprivations across dimensions, multivariate stochastic dominance analysis, and the analysis of copula functions, which capture the extent of interdependency across dimensions. Examples from the literature on both developing and developed countries are provided