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.

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Main Authors: Purnamasari, Ririn, Wirapati, Bagus Arya, Alatas, Hamidah, Nasiir, Mercoledi
Format: Report biblioteca
Language:English
Published: World Bank, Washington, DC 2020-09-28
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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spelling dig-okr-10986346142024-08-07T18:47:03Z Estimating Small Area Poverty and Welfare Indicators in Timor-Leste Using Satellite Imagery Data Purnamasari, Ririn Wirapati, Bagus Arya Alatas, Hamidah Nasiir, Mercoledi SMALL AREA ESTIMATE SATELLITE IMAGERY POVERTY MEASUREMENT POVERTY MAPPING LIVING STANDARDS DEMOGRAPHIC AND HEALTH SURVEY GEOSPATIAL ANALYSIS POVERTY RATE CONSUMPTION WEALTH INDEX 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. 2020-10-14T13:33:51Z 2020-10-14T13:33:51Z 2020-09-28 Report Rapport Informe 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 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank application/pdf text/plain World Bank, Washington, DC
institution Banco Mundial
collection DSpace
country Estados Unidos
countrycode US
component Bibliográfico
access En linea
databasecode dig-okr
tag biblioteca
region America del Norte
libraryname Biblioteca del Banco Mundial
language English
topic SMALL AREA ESTIMATE
SATELLITE IMAGERY
POVERTY MEASUREMENT
POVERTY MAPPING
LIVING STANDARDS
DEMOGRAPHIC AND HEALTH SURVEY
GEOSPATIAL ANALYSIS
POVERTY RATE
CONSUMPTION
WEALTH INDEX
SMALL AREA ESTIMATE
SATELLITE IMAGERY
POVERTY MEASUREMENT
POVERTY MAPPING
LIVING STANDARDS
DEMOGRAPHIC AND HEALTH SURVEY
GEOSPATIAL ANALYSIS
POVERTY RATE
CONSUMPTION
WEALTH INDEX
spellingShingle SMALL AREA ESTIMATE
SATELLITE IMAGERY
POVERTY MEASUREMENT
POVERTY MAPPING
LIVING STANDARDS
DEMOGRAPHIC AND HEALTH SURVEY
GEOSPATIAL ANALYSIS
POVERTY RATE
CONSUMPTION
WEALTH INDEX
SMALL AREA ESTIMATE
SATELLITE IMAGERY
POVERTY MEASUREMENT
POVERTY MAPPING
LIVING STANDARDS
DEMOGRAPHIC AND HEALTH SURVEY
GEOSPATIAL ANALYSIS
POVERTY RATE
CONSUMPTION
WEALTH INDEX
Purnamasari, Ririn
Wirapati, Bagus Arya
Alatas, Hamidah
Nasiir, Mercoledi
Estimating Small Area Poverty and Welfare Indicators in Timor-Leste Using Satellite Imagery Data
description 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.
format Report
topic_facet SMALL AREA ESTIMATE
SATELLITE IMAGERY
POVERTY MEASUREMENT
POVERTY MAPPING
LIVING STANDARDS
DEMOGRAPHIC AND HEALTH SURVEY
GEOSPATIAL ANALYSIS
POVERTY RATE
CONSUMPTION
WEALTH INDEX
author Purnamasari, Ririn
Wirapati, Bagus Arya
Alatas, Hamidah
Nasiir, Mercoledi
author_facet Purnamasari, Ririn
Wirapati, Bagus Arya
Alatas, Hamidah
Nasiir, Mercoledi
author_sort Purnamasari, Ririn
title Estimating Small Area Poverty and Welfare Indicators in Timor-Leste Using Satellite Imagery Data
title_short Estimating Small Area Poverty and Welfare Indicators in Timor-Leste Using Satellite Imagery Data
title_full Estimating Small Area Poverty and Welfare Indicators in Timor-Leste Using Satellite Imagery Data
title_fullStr Estimating Small Area Poverty and Welfare Indicators in Timor-Leste Using Satellite Imagery Data
title_full_unstemmed Estimating Small Area Poverty and Welfare Indicators in Timor-Leste Using Satellite Imagery Data
title_sort estimating small area poverty and welfare indicators in timor-leste using satellite imagery data
publisher World Bank, Washington, DC
publishDate 2020-09-28
url 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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AT wirapatibagusarya estimatingsmallareapovertyandwelfareindicatorsintimorlesteusingsatelliteimagerydata
AT alatashamidah estimatingsmallareapovertyandwelfareindicatorsintimorlesteusingsatelliteimagerydata
AT nasiirmercoledi estimatingsmallareapovertyandwelfareindicatorsintimorlesteusingsatelliteimagerydata
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