Assessing the Targeting Performance of Social Programs: Cape Verde

Budget constraints faced by governments in developing countries imply that the targeting performance of public subsidies and social programs (whether the subsidies are provided in cash or in kind) is important for reducing poverty. In this paper, we analyze the distributional properties of the main existing social programs in Cape Verde and assess whether various targeting systems (including proxy means testing and geographic targeting) could help to improve targeting performance.Poverty; social programs; targeting; Cape Verde; benefit incidence; geographic targeting; proxy means testing

Operational Poverty Targeting In Peru ? Proxy Means Testing With Non-Income Indicators

he measurement of per capita daily expenditures relative to a monetary poverty line, also known as ?sophisticated means testing?, is the most widely used approach to poverty assessment. However, it is reliant on the implementation of time- and cost-intensive household surveys. Hence, for operational purposes, it is not an effective method for targeting poor households with development services. This paper shows how to identify an alternative poverty assessment tool for Peru. The tool consists of a maximum of 15 indicators that are powerful predictors of per capita household expenditures. The indicators were selected out of a wide range of indicators used to gauge different poverty dimensions. The resultant poverty classification of households is based on the ?percent point function? of the predicted expenditures and validated by various accuracy measures and their confidence intervals. The results reveal that the 15 indicators correctly identify over 81 per cent of poor households when the national poverty line is employed as the benchmark. Thus, this tool might be considered, under certain conditions, as an alternative to the collection of detailed expenditure data. It offers an operational instrument for fairly accurate ex-ante poverty targeting and ex-post impact assessments.Poverty targeting, Targeting accuracy, Expenditure predictions, Percent point function, Latin America, Peru

Targeting social spending to the poor with proxy - means testing: Colombia's SISBEN system

While targeting can effectively channel resources to the poor, implementation details matter tremendously to distributive outcomes. Several key factors affect performance, including: data collection processes; information management; household assessment mechanisms; institutional arrangements; and monitoring and oversight mechanisms. This report conducts an in-depth assessment of key design and implementation factors and their potential impact on outcomes for the household targeting system SISBEN used in Colombia to target social programs to the poor and vulnerable.

Identification of poor households for premium exemptions in Ghana’s National Health Insurance Scheme: empirical analysis of three strategies

OBJECTIVES: To evaluate the effectiveness of three alternative strategies to identify poor households: means testing (MT), proxy means testing (PMT) and participatory wealth ranking (PWR) in urban, rural and semi-urban settings in Ghana. The primary motivation was to inform implementation of the National Health Insurance policy of premium exemptions for the poorest households. METHODS: Survey of 145-147 households per setting to collect data on consumption expenditure to estimate MT measures and of household assets to estimate PMT measures. We organized focus group discussions to derive PWR measures. We compared errors of inclusion and exclusion of PMT and PWR relative to MT, the latter being considered the gold standard measure to identify poor households. RESULTS: Compared to MT, the errors of exclusion and inclusion of PMT ranged between 0.46-0.63 and 0.21-0.36, respectively, and of PWR between 0.03-0.73 and 0.17-0.60, respectively, depending on the setting. CONCLUSION: Proxy means testing and PWR have considerable errors of exclusion and inclusion in comparison with MT. PWR is a subjective measure of poverty and has appeal because it reflects community's perceptions on poverty. However, as its definition of the poor varies across settings, its acceptability as a uniform strategy to identify the poor in Ghana may be questionable. PMT and MT are potential strategies to identify the poor, and their relative societal attractiveness should be judged in a broader economic analysis. This study also holds relevance to other programmes that require identification of the poor in low-income countries

Agriculture Income Assessment for the Purpose of Social Assistance: the Case of Ukraine

Ukraine belongs to the group of countries which are known for the widespread phenomenon of subsistence and semi-subsistence farming. Individual farmers are not obliged to produce financial reports and their incomes belong to the category of unobservable incomes. When checking the eligibility for social assistance the level of their incomes needs to be estimated. In a country, where poverty rate is quite high, the coverage of the poor with financial aid is relatively low and public finances under constant control, the importance of a fair and justified methodology for income imputation is particularly strong. In this situation, an outdated and unfair current system of agriculture income estimation in Ukraine calls for immediate changes. This paper presents recommendations for the Ukrainian government in the area of agriculture income imputation, where several methods of estimating farm income were proposed (including the one based on Household Budget Survey). The recommendations were preceded with the analysis of five countries' practices in this area: Kazakhstan, Kyrgyzstan, Moldova, Russia, and Poland. A review of different means testing methods, including direct means testing and proxy means testing, served as an introduction to the topic.subsistence and semi-subsistence farming, hard to verify income, farm household income, income (agro-income) imputation, means testing methods

Agriculture income assessment for the purpose of social assistance: The case of Ukraine

Ukraine belongs to the group of countries which are known for the widespread phenomenon of subsistence and semi-subsistence farming. Individual farmers are not obliged to produce financial reports and their incomes belong to the category of unobservable incomes. When checking the eligibility for social assistance the level of their incomes needs to be estimated. In a country, where poverty rate is quite high, the coverage of the poor with financial aid is relatively low and public finances under constant control, the importance of a fair and justified methodology for income imputation is particularly strong. In this situation, an outdated and unfair current system of agriculture income estimation in Ukraine calls for immediate changes. This paper presents recommendations for the Ukrainian government in the area of agriculture income imputation, where several methods of estimating farm income were proposed (including the one based on Household Budget Survey). The recommendations were preceded with the analysis of five countries' practices in this area: Kazakhstan, Kyrgyzstan, Moldova, Russia, and Poland. A review of different means testing methods, including direct means testing and proxy means testing, served as an introduction to the topic

An event service supporting autonomic management of ubiquitous systems for e-health

An event system suitable for very simple devices corresponding to a body area network for monitoring patients is presented. Event systems can be used both for self-management of the components as well as indicating alarms relating to patient health state. Traditional event systems emphasise scalability and complex event dissemination for internet based systems, whereas we are considering ubiquitous systems with wireless communication and mobile nodes which may join or leave the system over time intervals of minutes. Issues such as persistent delivery are also important. We describe the design, prototype implementation, and performance characteristics of an event system architecture targeted at this application domain

Implementation of Faceted Values in Node.JS.

Information flow analysis is the study of mechanisms by which developers may protect sensitive data within an ecosystem containing untrusted third-party code. Secure multi-execution is one such mechanism that reliably prevents undesirable information flows, but a programmer’s use of secure multi-execution is itself challenging and prone to error. Faceted values have been shown to provide an alternative to secure multi-execution which is, in theory, functionally equivalent. The purpose of this work is to show that the theory holds in practice by implementing usable faceted values in JavaScript via source code transformation. The primary contribution of this project is to provide a library that makes these transformations possible in any standard JavaScript runtime without requiring native support. We build a pipeline that takes JavaScript code with syntactic support for faceted values and, through source code transformation, produces platform-independent JavaScript code containing functional faceted values. Our findings include a method by which we may optimize the use of faceted values through static analysis of the program’s information flow