Suchergebnisse

Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines. Our results indicate that estimates of global poverty vary significantly when they are based alternately on data from household surveys versus national accounts but are relatively consistent across different estimation methods. The decline in poverty over

The United Nations World Food Programme (WFP) Cambodia, in close collaboration with various government institutions, has been conducting poverty analysis and mapping refinement. The main objectives of the refinement have been (i) to refine core poor areas in Cambodia, (ii) to identify priority areas for social sector interventions such as those targeted to adult and child education, health and nutrition interventions, and (iii) to identify priority areas for assisting variable population groups such as those in flood and drought prone areas, forest and fishing concession areas.

Cover -- Front Matter -- Acknowledgments -- Contents -- Executive Summary -- 1 Introduction -- 2 Needs for Small-Area Income and Poverty Estimates -- 3 Current SAIPE Models -- 4 Future Model Development: The Role of Surveys -- 5 Future Model Development: The Role of Administrative Records -- 6 Using Estimates in Allocation Formulas -- 7 Recommendations for Producers and Users -- APPENDIX Interactions Between Survey Estimates and Federal Funding Formulas -- References and Bibliography -- Biographical Sketches of Panel Members and Staff.