Precision, time, and cost: a comparison of three sampling designs in an emergency setting

The conventional method to collect data on the health, nutrition, and food security status of a population affected by an emergency is a 30 × 30 cluster survey. This sampling method can be time and resource intensive and, accordingly, may not be the most appropriate one when data are needed rapidly for decision making. In this study, we compare the precision, time and cost of the 30 × 30 cluster survey with two alternative sampling designs: a 33 × 6 cluster design (33 clusters, 6 observations per cluster) and a 67 × 3 cluster design (67 clusters, 3 observations per cluster). Data for each sampling design were collected concurrently in West Darfur, Sudan in September-October 2005 in an emergency setting. Results of the study show the 30 × 30 design to provide more precise results (i.e. narrower 95% confidence intervals) than the 33 × 6 and 67 × 3 design for most child-level indicators. Exceptions are indicators of immunization and vitamin A capsule supplementation coverage which show a high intra-cluster correlation. Although the 33 × 6 and 67 × 3 designs provide wider confidence intervals than the 30 × 30 design for child anthropometric indicators, the 33 × 6 and 67 × 3 designs provide the opportunity to conduct a LQAS hypothesis test to detect whether or not a critical threshold of global acute malnutrition prevalence has been exceeded, whereas the 30 × 30 design does not. For the household-level indicators tested in this study, the 67 × 3 design provides the most precise results. However, our results show that neither the 33 × 6 nor the 67 × 3 design are appropriate for assessing indicators of mortality. In this field application, data collection for the 33 × 6 and 67 × 3 designs required substantially less time and cost than that required for the 30 × 30 design. The findings of this study suggest the 33 × 6 and 67 × 3 designs can provide useful time- and resource-saving alternatives to the 30 × 30 method of data collection in emergency settings

Targeting Transfers: Innovative Solutions to Familiar Problems

Summaries The case for targeting cash or in?kind transfers to the poor – that it maximises cost?effectiveness and equitable allocation of scarce public resources – is partially offset by the administrative, social and political costs that targeting introduces. This article examines practical applications of three alternative targeting mechanisms: self?targeting, individual assessment, and group characteristics. It finds that current international ‘conventional wisdom’ – which favours, for example, introducing gender quotas to public works projects and minimising administration costs to maximise transfers to beneficiaries – often leads to perverse outcomes, which have motivated innovative modifications in specific local contexts

Productive Safety Net Program and Children's Time Use Between Work and Schooling in Ethiopia

Government, non-government, and donor organizations have developed a social assistance program known as Productive Safety Net Program (PSNP) which has two sub-programs namely public work program (PWP) and Direct Support Program (DSP). PSNP is designed to reduce the vulnerability of poor people to drought and it targets household and in most cases without considering ex ante the issue of intra-household resource distribution. This paper assesses, using Young Lives Survey data, the impacts of the Productive Safety Net Program (PSNP) and the Agricultural Extension Program (AEP) on time use between work and schooling as well as highest grade completed by 12-year-old children in rural and urban Ethiopia. Empirically the study used propensity score matching techniques to estimate the impact of PSNP and AEP on child welfare measured by time use in various types of work, schooling, and studying. We found that PWP in rural areas increases child work for pay, reduces children’s time spent on child care and household chores and total hours of time children spent on work all kind of work combined, and increases girls spending on study. The DSP in rural and urban areas reduces time children spent on paid and unpaid work, and increases the highest grade completed by boys in urban areas. On the other hand, AEP in rural areas was effective in reducing child work for pay and total work, increasing time girls spent on schooling and highest grade completed by girls