Estimating Small Area Poverty and Welfare Indicators in Timor-Leste Using Satellite Imagery Data
This report is structured as follows: an in-depth explanation of the FHSAE method is presented in section two. Section three reviews the sub-district level data used in this study, which includes imprecise TL-SLS and DHS direct estimates, as well as satellite imagery data used in this study. The variable selection method used for the FHSAE model in this model is explained in section four. Section five provides the results of the FHSAE exercise on poverty estimates, average real per capita consumption and welfare index, presenting them in the graphical maps. Section six concludes.
Main Authors: | , , , |
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Format: | Report biblioteca |
Language: | English |
Published: |
World Bank, Washington, DC
2020-09-28
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Subjects: | SMALL AREA ESTIMATE, SATELLITE IMAGERY, POVERTY MEASUREMENT, POVERTY MAPPING, LIVING STANDARDS, DEMOGRAPHIC AND HEALTH SURVEY, GEOSPATIAL ANALYSIS, POVERTY RATE, CONSUMPTION, WEALTH INDEX, |
Online Access: | http://documents.worldbank.org/curated/en/586981601882059142/Timor-Leste-Poverty-Monitoring-and-Analysis-Estimating-Small-Area-Poverty-and-Welfare-Indicators https://hdl.handle.net/10986/34614 |
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Summary: | This report is structured as follows: an
in-depth explanation of the FHSAE method is presented in
section two. Section three reviews the sub-district level
data used in this study, which includes imprecise TL-SLS and
DHS direct estimates, as well as satellite imagery data used
in this study. The variable selection method used for the
FHSAE model in this model is explained in section four.
Section five provides the results of the FHSAE exercise on
poverty estimates, average real per capita consumption and
welfare index, presenting them in the graphical maps.
Section six concludes. |
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