This report presents the results of small area estimation techniques to improve sample survey estimates of poverty, caloric intake and malnutrition for Nepal. This is the first time that statistical techniques have been used to estimate indicators of socio-economic status at region, district, and sub-district (ilaka) level across the country. Planners, researchers, and development partners have all identified a requirement for estimates of poverty and related indicators at local level. With the goal of addressing this need, Poverty Mapping was included as an integral component of the Nepal Living Standards Survey 2003-04 Project (NLSS-II). It is hoped that the results of this exercise will prove useful to those tasked with planning resource allocation at a local level. The approach of poverty mapping through use of small area estimation techniques has been extended to include measures of caloric intake, stunting, wasting, and underweight. The methodology involves detailed analysis of NLSS-II and Nepal Demographic and Health Survey 2001 (NDHS). The data from these two sample surveys have been regressed against data of the National Population Census 2001. In addition to census and sample survey variables, the regression model also included variables derived from spatial data stored in Geographic Information System (GIS) format. The results of the small area estimation techniques have been spatially referenced, which facilitates their presentation on maps, either alone or in combination with other relevant spatial data, such as: access to infrastructure and public services; agro-ecological conditions; public spending and others.It is the product of a close collaboration between the Government of Nepal, represented by the National Planning Commission Secretariat and the Central Bureau of Statistics, the United Nations World Food Programme, and the World Bank.In Nepal’s efforts to reach the targets of the Millennium Development Goals (MDG) and the Poverty Reduction Strategy Paper (PRSP), it will be necessary to target resources toward the most deprived and vulnerable areas. Through the combination of survey and census data, this study has created estimates of several measures of well-being at the sub district level and mapped their distributions using Geographic Information Systems (GIS) technology.
#Poverty #Malnutrition #PRSP #CensusData #GIS #SocioEconomicStatus #MDG #FoodAndNutrition
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Publisher:
GoN, CBS, WB, WFP
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(2006
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Type / Script:
Progress Report
in English
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Keywords:
POVERTY MAPING, CALORIC INTAKE, MALNUTRITION, DEMOGRAPHIC HEALTH SURVEY, MULTIVARIATE ANALYSIS, TECHNICAL DISCUSSION, DATA SOURCES, METHODOLOGY, INFRASTURCTURE DEVELOPMENT, CALORIES, PROTEIN DEFICIENCY, FOOD AND NUTRITION,VITAMIN DEFICIENCY
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Thematic Group:
WFP
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Food and Emergency humanitarian logistict support
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Thesaurus:
10.01.00
- Food And Nutrition
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Reference Link:
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