Creating a Poverty Map for Azerbaijan
"Poverty maps"-that is, graphic representations of spatially disaggregated estimates of welfare-are being increasingly used to geographically target scarce resources. But the development of detailed poverty maps in many low resource settings is hampered because of data constraints. Data on...
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| Format: | Policy Research Working Paper |
| Language: | English |
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World Bank, Washington, DC
2012
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| Online Access: | http://documents.worldbank.org/curated/en/2005/12/6464547/creating-poverty-map-azerbaijan http://hdl.handle.net/10986/8545 |
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okr-10986-85452021-04-23T14:02:43Z Creating a Poverty Map for Azerbaijan Baschieri, Angela Falkingham, Jane Hornby, Duncan Hutton, Craig ACCESS TO SERVICES ADULT EQUIVALENCE ADULT EQUIVALENT CAPACITY BUILDING CENSUS DATA CHILD SCHOOLING CLEAN WATER COMPONENTS CONFIDENCE INTERVAL CONSUMER DEMAND CONSUMPTION AGGREGATE CONSUMPTION EXPENDITURE CONSUMPTION EXPENDITURES CONSUMPTION MEASURE CORRELATION COEFFICIENT CORRELATION COEFFICIENTS DEVELOPMENT ISSUES DURABLE GOODS EQUIVALENCE SCALE EQUIVALENCE SCALES EXTERNALITY FINANCIAL RESOURCES FOOD CONSUMPTION FOOD PRICES HEALTH EXPENDITURE HIGHER INCIDENCE OF POVERTY HOUSEHOLD BUDGET HOUSEHOLD BUDGET SURVEY HOUSEHOLD CHARACTERISTICS HOUSEHOLD CONSUMPTION HOUSEHOLD EXPENDITURE HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD WELFARE HOUSING INCOME INCOME DATA LIVING STANDARDS NON-FOOD CONSUMPTION OBLAST LEVEL PER CAPITA CONSUMPTION PER CAPITA MEASURE POLICY RESEARCH POPULATION CENSUS POPULATION SIZE POVERTY ANALYSIS POVERTY ESTIMATES POVERTY INCIDENCE POVERTY LEVELS POVERTY LINE POVERTY MAP POVERTY MAPPING POVERTY MAPS POVERTY MEASURES POVERTY RATES PROGRAMMATIC POVERTY ASSESSMENT RANDOM SAMPLE REGIONAL POVERTY MEASURES RELATIVE POVERTY LINE RENTAL VALUE RURAL AREA RURAL AREAS RURAL HOUSEHOLDS RURAL POPULATION SCHOOLING SPATIAL VARIATION STANDARD ERRORS SURVEY DATA TECHNICAL ASSISTANCE URBAN AREA URBAN AREAS VILLAGE LEVEL WEALTH WELFARE INDICATOR WELFARE INDICATORS WELFARE MEASURE "Poverty maps"-that is, graphic representations of spatially disaggregated estimates of welfare-are being increasingly used to geographically target scarce resources. But the development of detailed poverty maps in many low resource settings is hampered because of data constraints. Data on income or consumption are often unavailable and, where they are, direct survey estimates for small areas are likely to yield unacceptably large standard errors due to limited sample sizes. Census data offer the required level of coverage but do not generally contain the appropriate information. This has led to the development of a range of alternative methods aimed either at combining survey data with unit record data from the census to produce estimates of income or expenditure for small areas or at developing alternative welfare rankings, such as asset indices, using existing census data. This paper develops a set of poverty maps for Azerbaijan that can be used by different users. Two alternative approaches to the measurement and mapping of welfare are adopted. First, a map is derived using imputed household consumption. This involves combining information from the 2002 Household Budget Survey (HBS) with 1999 census data. Second, an alternative map is constructed using an asset index based on data from the 1999 census to produce estimates of welfare at the rayon level. This provides a unique opportunity to compare the welfare rankings obtained at the regional level under the two alternative approaches. In order to visually present the spatially disgaggregated estimates of welfare in Azerbaijan, this paper has also produced a digital census map of Azerbaijan. This involved matching the census enumeration areas to a digital settlement map of Azerbaijan. Therefore, it is now possible for the State Statistical Committee of Azerbaijan to display graphically the results of the 1999 census of Azerbaijan along with other data. 2012-06-20T18:16:28Z 2012-06-20T18:16:28Z 2005-12 http://documents.worldbank.org/curated/en/2005/12/6464547/creating-poverty-map-azerbaijan http://hdl.handle.net/10986/8545 English Policy Research Working Paper; No. 3793 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research Europe and Central Asia Azerbaijan |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
ACCESS TO SERVICES ADULT EQUIVALENCE ADULT EQUIVALENT CAPACITY BUILDING CENSUS DATA CHILD SCHOOLING CLEAN WATER COMPONENTS CONFIDENCE INTERVAL CONSUMER DEMAND CONSUMPTION AGGREGATE CONSUMPTION EXPENDITURE CONSUMPTION EXPENDITURES CONSUMPTION MEASURE CORRELATION COEFFICIENT CORRELATION COEFFICIENTS DEVELOPMENT ISSUES DURABLE GOODS EQUIVALENCE SCALE EQUIVALENCE SCALES EXTERNALITY FINANCIAL RESOURCES FOOD CONSUMPTION FOOD PRICES HEALTH EXPENDITURE HIGHER INCIDENCE OF POVERTY HOUSEHOLD BUDGET HOUSEHOLD BUDGET SURVEY HOUSEHOLD CHARACTERISTICS HOUSEHOLD CONSUMPTION HOUSEHOLD EXPENDITURE HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD WELFARE HOUSING INCOME INCOME DATA LIVING STANDARDS NON-FOOD CONSUMPTION OBLAST LEVEL PER CAPITA CONSUMPTION PER CAPITA MEASURE POLICY RESEARCH POPULATION CENSUS POPULATION SIZE POVERTY ANALYSIS POVERTY ESTIMATES POVERTY INCIDENCE POVERTY LEVELS POVERTY LINE POVERTY MAP POVERTY MAPPING POVERTY MAPS POVERTY MEASURES POVERTY RATES PROGRAMMATIC POVERTY ASSESSMENT RANDOM SAMPLE REGIONAL POVERTY MEASURES RELATIVE POVERTY LINE RENTAL VALUE RURAL AREA RURAL AREAS RURAL HOUSEHOLDS RURAL POPULATION SCHOOLING SPATIAL VARIATION STANDARD ERRORS SURVEY DATA TECHNICAL ASSISTANCE URBAN AREA URBAN AREAS VILLAGE LEVEL WEALTH WELFARE INDICATOR WELFARE INDICATORS WELFARE MEASURE |
| spellingShingle |
ACCESS TO SERVICES ADULT EQUIVALENCE ADULT EQUIVALENT CAPACITY BUILDING CENSUS DATA CHILD SCHOOLING CLEAN WATER COMPONENTS CONFIDENCE INTERVAL CONSUMER DEMAND CONSUMPTION AGGREGATE CONSUMPTION EXPENDITURE CONSUMPTION EXPENDITURES CONSUMPTION MEASURE CORRELATION COEFFICIENT CORRELATION COEFFICIENTS DEVELOPMENT ISSUES DURABLE GOODS EQUIVALENCE SCALE EQUIVALENCE SCALES EXTERNALITY FINANCIAL RESOURCES FOOD CONSUMPTION FOOD PRICES HEALTH EXPENDITURE HIGHER INCIDENCE OF POVERTY HOUSEHOLD BUDGET HOUSEHOLD BUDGET SURVEY HOUSEHOLD CHARACTERISTICS HOUSEHOLD CONSUMPTION HOUSEHOLD EXPENDITURE HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD WELFARE HOUSING INCOME INCOME DATA LIVING STANDARDS NON-FOOD CONSUMPTION OBLAST LEVEL PER CAPITA CONSUMPTION PER CAPITA MEASURE POLICY RESEARCH POPULATION CENSUS POPULATION SIZE POVERTY ANALYSIS POVERTY ESTIMATES POVERTY INCIDENCE POVERTY LEVELS POVERTY LINE POVERTY MAP POVERTY MAPPING POVERTY MAPS POVERTY MEASURES POVERTY RATES PROGRAMMATIC POVERTY ASSESSMENT RANDOM SAMPLE REGIONAL POVERTY MEASURES RELATIVE POVERTY LINE RENTAL VALUE RURAL AREA RURAL AREAS RURAL HOUSEHOLDS RURAL POPULATION SCHOOLING SPATIAL VARIATION STANDARD ERRORS SURVEY DATA TECHNICAL ASSISTANCE URBAN AREA URBAN AREAS VILLAGE LEVEL WEALTH WELFARE INDICATOR WELFARE INDICATORS WELFARE MEASURE Baschieri, Angela Falkingham, Jane Hornby, Duncan Hutton, Craig Creating a Poverty Map for Azerbaijan |
| geographic_facet |
Europe and Central Asia Azerbaijan |
| relation |
Policy Research Working Paper; No. 3793 |
| description |
"Poverty maps"-that is, graphic representations of spatially disaggregated estimates of welfare-are being increasingly used to geographically target scarce resources. But the development of detailed poverty maps in many low resource settings is hampered because of data constraints. Data on income or consumption are often unavailable and, where they are, direct survey estimates for small areas are likely to yield unacceptably large standard errors due to limited sample sizes. Census data offer the required level of coverage but do not generally contain the appropriate information. This has led to the development of a range of alternative methods aimed either at combining survey data with unit record data from the census to produce estimates of income or expenditure for small areas or at developing alternative welfare rankings, such as asset indices, using existing census data. This paper develops a set of poverty maps for Azerbaijan that can be used by different users. Two alternative approaches to the measurement and mapping of welfare are adopted. First, a map is derived using imputed household consumption. This involves combining information from the 2002 Household Budget Survey (HBS) with 1999 census data. Second, an alternative map is constructed using an asset index based on data from the 1999 census to produce estimates of welfare at the rayon level. This provides a unique opportunity to compare the welfare rankings obtained at the regional level under the two alternative approaches. In order to visually present the spatially disgaggregated estimates of welfare in Azerbaijan, this paper has also produced a digital census map of Azerbaijan. This involved matching the census enumeration areas to a digital settlement map of Azerbaijan. Therefore, it is now possible for the State Statistical Committee of Azerbaijan to display graphically the results of the 1999 census of Azerbaijan along with other data. |
| format |
Publications & Research :: Policy Research Working Paper |
| author |
Baschieri, Angela Falkingham, Jane Hornby, Duncan Hutton, Craig |
| author_facet |
Baschieri, Angela Falkingham, Jane Hornby, Duncan Hutton, Craig |
| author_sort |
Baschieri, Angela |
| title |
Creating a Poverty Map for Azerbaijan |
| title_short |
Creating a Poverty Map for Azerbaijan |
| title_full |
Creating a Poverty Map for Azerbaijan |
| title_fullStr |
Creating a Poverty Map for Azerbaijan |
| title_full_unstemmed |
Creating a Poverty Map for Azerbaijan |
| title_sort |
creating a poverty map for azerbaijan |
| publisher |
World Bank, Washington, DC |
| publishDate |
2012 |
| url |
http://documents.worldbank.org/curated/en/2005/12/6464547/creating-poverty-map-azerbaijan http://hdl.handle.net/10986/8545 |
| _version_ |
1764408083339018240 |