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Weight Calculations for Panel Surveys with Sub-Sampling and Split-Off Tracking / Kristen Himelein
World Bank Open Knowledge Repository (formerly "World Bank E-Library Publications") Available online
View online- Format:
- Book
- Government document
- Author/Creator:
- Himelein, Kristen
- Series:
- Policy research working papers.
- World Bank e-Library.
- Language:
- English
- Subjects (All):
- Attrition.
- Housing & Human Habitats.
- Panel surveys.
- Poverty Reduction.
- Science Education.
- Scientific Research & Science Parks.
- Small Area Estimation Poverty Mapping.
- Statistical & Mathematical Sciences.
- Survey weights.
- Tracking surveys.
- Local Subjects:
- Attrition.
- Housing & Human Habitats.
- Panel surveys.
- Poverty Reduction.
- Science Education.
- Scientific Research & Science Parks.
- Small Area Estimation Poverty Mapping.
- Statistical & Mathematical Sciences.
- Survey weights.
- Tracking surveys.
- Physical Description:
- 1 online resource (14 pages)
- Place of Publication:
- Washington, D.C., The World Bank, 2013
- System Details:
- data file
- Summary:
- The Living Standards Measurement Study-Integrated Surveys on Agriculture project collects agricultural and livelihood data in seven countries in Sub-Saharan Africa. In order to maintain representativeness as much as possible over multiple rounds of data collection, a sub-sample of households are selected to have members that have left the household tracked and interviewed in their new location with their new household members. Since the sub-sampling occurs at the level of the household but tracking occurs at the level of the individual, a number of issues arise with the correct calculation for the sub-sampling and attrition corrections. This paper is based on the panel weight calculations for the initial rounds of the Integrated Surveys on Agriculture surveys in Uganda and Tanzania, and describes the methodology used for calculating the weight components related to sub-sampling, tracking, and attrition, as well as the criteria used for trimming and post-stratification. It also addresses complications resulting from members previously classified as having attrited from the sample returning in later rounds.
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