Data Deprivation
The Millennium Development Goal of halving the incidence of extreme poverty from its 1990 level will be achieved in 2015, and the international development community is now moving to a new goal of “ending extreme poverty.” However, the data needed to monitor progress remain severely limited. During the 10 year period between 2002 and 2011, as many as 57 countries have zero or only one poverty estimate. This paper refers to such lack of poverty data as “data deprivation,” because the poor are often socially marginalized and voiceless, and the collection of objective and quantitative data is crucial in locating them and formulating policy to help them exit extreme deprivation. This paper studies the extent of data deprivation and proposes targets for ending data deprivation by 2030—the year by when the international community aims to end extreme poverty. According to the analysis in this paper, this target is ambitious but possible, and achieving it is necessary to be able to declare the end of extreme poverty with confidence.
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dig-okr-10986218672024-08-08T13:26:37Z Data Deprivation Another Deprivation to End Serajuddin, Umar Uematsu, Hiroki Wieser, Christina Yoshida, Nobuo Dabalen, Andrew PREDICTIONS DATA PROCESSING POVERTY LINE CALCULATION ERRORS TELECOMMUNICATION INCOME POVERTY ESTIMATES POVERTY RATES NATIONAL POVERTY LINE POVERTY MONITORING FINANCIAL RESOURCES INFORMATION CONSUMPTION DATA PROGRAMS MONITORING DATA MONITORING STANDARD MEASUREMENT NATIONAL POVERTY IMPACTS CAPACITY BUILDING VARIABLES PRICE TIME PERIOD GLOBAL POVERTY QUALITY SUSTAINABLE DEVELOPMENT POVERTY MEASURES OPEN ACCESS COMPUTER ECONOMIC SHOCK REGION POVERTY REDUCTION ECONOMIC ACTIVITY TIME PERIODS DATA TECHNICAL ASSISTANCE SAMPLING ERRORS COORDINATION MECHANISMS TARGETS INTERNATIONAL COMPARISON DATA COLLECTION METHODS WEB HOUSEHOLD SURVEYS INDICATORS DATA ACCESS RESEARCH SOCIAL INDICATORS SOCIAL DEVELOPMENT DATABASES USERS TECHNOLOGY AVAILABILITY OF DATA POVERTY LINES POVERTY DATA CONSUMPTION RELIABILITY CLIMATE CHANGE TRANSPARENCY POVERTY REDUCTION PROGRAM POVERTY MEASUREMENT REDUCTION IN POVERTY RESULTS PURCHASING POWER METADATA POVERTY MONITORING EFFORTS TELECOMMUNICATION SYSTEMS MEASUREMENT PRIVATE SECTOR COUNTING SURVEYS RESULT POOR POPULATION REGIONS NETWORK EXTREME POVERTY STATISTICS RISK HUMAN RESOURCES POVERTY RURAL AREAS SAMPLING PERFORMANCE GLOBAL STANDARD IMPUTATION FINANCIAL SUPPORT CONSUMER PRICE INDEX PRECISION POVERTY’ DATA REGIONAL TRENDS POVERTY RATE DATABASE POVERTY ACROSS COUNTRIES OUTCOMES ECONOMIC SHOCKS TARGET PRICES USES INNOVATIONS HUMAN DEVELOPMENT The Millennium Development Goal of halving the incidence of extreme poverty from its 1990 level will be achieved in 2015, and the international development community is now moving to a new goal of “ending extreme poverty.” However, the data needed to monitor progress remain severely limited. During the 10 year period between 2002 and 2011, as many as 57 countries have zero or only one poverty estimate. This paper refers to such lack of poverty data as “data deprivation,” because the poor are often socially marginalized and voiceless, and the collection of objective and quantitative data is crucial in locating them and formulating policy to help them exit extreme deprivation. This paper studies the extent of data deprivation and proposes targets for ending data deprivation by 2030—the year by when the international community aims to end extreme poverty. According to the analysis in this paper, this target is ambitious but possible, and achieving it is necessary to be able to declare the end of extreme poverty with confidence. 2015-05-07T21:58:04Z 2015-05-07T21:58:04Z 2015-04 Working Paper Document de travail Documento de trabajo http://documents.worldbank.org/curated/en/2015/04/24426058/data-deprivation-another-deprivation-end https://hdl.handle.net/10986/21867 English en_US Policy Research Working Paper;No. 7252 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank application/pdf World Bank, Washington, DC |
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Banco Mundial |
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Estados Unidos |
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US |
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Bibliográfico |
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biblioteca |
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America del Norte |
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Biblioteca del Banco Mundial |
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English en_US |
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PREDICTIONS DATA PROCESSING POVERTY LINE CALCULATION ERRORS TELECOMMUNICATION INCOME POVERTY ESTIMATES POVERTY RATES NATIONAL POVERTY LINE POVERTY MONITORING FINANCIAL RESOURCES INFORMATION CONSUMPTION DATA PROGRAMS MONITORING DATA MONITORING STANDARD MEASUREMENT NATIONAL POVERTY IMPACTS CAPACITY BUILDING VARIABLES PRICE TIME PERIOD GLOBAL POVERTY QUALITY SUSTAINABLE DEVELOPMENT POVERTY MEASURES OPEN ACCESS COMPUTER ECONOMIC SHOCK REGION POVERTY REDUCTION ECONOMIC ACTIVITY TIME PERIODS DATA TECHNICAL ASSISTANCE SAMPLING ERRORS COORDINATION MECHANISMS TARGETS INTERNATIONAL COMPARISON DATA COLLECTION METHODS WEB HOUSEHOLD SURVEYS INDICATORS DATA ACCESS RESEARCH SOCIAL INDICATORS SOCIAL DEVELOPMENT DATABASES USERS TECHNOLOGY AVAILABILITY OF DATA POVERTY LINES POVERTY DATA CONSUMPTION RELIABILITY CLIMATE CHANGE TRANSPARENCY POVERTY REDUCTION PROGRAM POVERTY MEASUREMENT REDUCTION IN POVERTY RESULTS PURCHASING POWER METADATA POVERTY MONITORING EFFORTS TELECOMMUNICATION SYSTEMS MEASUREMENT PRIVATE SECTOR COUNTING SURVEYS RESULT POOR POPULATION REGIONS NETWORK EXTREME POVERTY STATISTICS RISK HUMAN RESOURCES POVERTY RURAL AREAS SAMPLING PERFORMANCE GLOBAL STANDARD IMPUTATION FINANCIAL SUPPORT CONSUMER PRICE INDEX PRECISION POVERTY’ DATA REGIONAL TRENDS POVERTY RATE DATABASE POVERTY ACROSS COUNTRIES OUTCOMES ECONOMIC SHOCKS TARGET PRICES USES INNOVATIONS HUMAN DEVELOPMENT PREDICTIONS DATA PROCESSING POVERTY LINE CALCULATION ERRORS TELECOMMUNICATION INCOME POVERTY ESTIMATES POVERTY RATES NATIONAL POVERTY LINE POVERTY MONITORING FINANCIAL RESOURCES INFORMATION CONSUMPTION DATA PROGRAMS MONITORING DATA MONITORING STANDARD MEASUREMENT NATIONAL POVERTY IMPACTS CAPACITY BUILDING VARIABLES PRICE TIME PERIOD GLOBAL POVERTY QUALITY SUSTAINABLE DEVELOPMENT POVERTY MEASURES OPEN ACCESS COMPUTER ECONOMIC SHOCK REGION POVERTY REDUCTION ECONOMIC ACTIVITY TIME PERIODS DATA TECHNICAL ASSISTANCE SAMPLING ERRORS COORDINATION MECHANISMS TARGETS INTERNATIONAL COMPARISON DATA COLLECTION METHODS WEB HOUSEHOLD SURVEYS INDICATORS DATA ACCESS RESEARCH SOCIAL INDICATORS SOCIAL DEVELOPMENT DATABASES USERS TECHNOLOGY AVAILABILITY OF DATA POVERTY LINES POVERTY DATA CONSUMPTION RELIABILITY CLIMATE CHANGE TRANSPARENCY POVERTY REDUCTION PROGRAM POVERTY MEASUREMENT REDUCTION IN POVERTY RESULTS PURCHASING POWER METADATA POVERTY MONITORING EFFORTS TELECOMMUNICATION SYSTEMS MEASUREMENT PRIVATE SECTOR COUNTING SURVEYS RESULT POOR POPULATION REGIONS NETWORK EXTREME POVERTY STATISTICS RISK HUMAN RESOURCES POVERTY RURAL AREAS SAMPLING PERFORMANCE GLOBAL STANDARD IMPUTATION FINANCIAL SUPPORT CONSUMER PRICE INDEX PRECISION POVERTY’ DATA REGIONAL TRENDS POVERTY RATE DATABASE POVERTY ACROSS COUNTRIES OUTCOMES ECONOMIC SHOCKS TARGET PRICES USES INNOVATIONS HUMAN DEVELOPMENT |
| spellingShingle |
PREDICTIONS DATA PROCESSING POVERTY LINE CALCULATION ERRORS TELECOMMUNICATION INCOME POVERTY ESTIMATES POVERTY RATES NATIONAL POVERTY LINE POVERTY MONITORING FINANCIAL RESOURCES INFORMATION CONSUMPTION DATA PROGRAMS MONITORING DATA MONITORING STANDARD MEASUREMENT NATIONAL POVERTY IMPACTS CAPACITY BUILDING VARIABLES PRICE TIME PERIOD GLOBAL POVERTY QUALITY SUSTAINABLE DEVELOPMENT POVERTY MEASURES OPEN ACCESS COMPUTER ECONOMIC SHOCK REGION POVERTY REDUCTION ECONOMIC ACTIVITY TIME PERIODS DATA TECHNICAL ASSISTANCE SAMPLING ERRORS COORDINATION MECHANISMS TARGETS INTERNATIONAL COMPARISON DATA COLLECTION METHODS WEB HOUSEHOLD SURVEYS INDICATORS DATA ACCESS RESEARCH SOCIAL INDICATORS SOCIAL DEVELOPMENT DATABASES USERS TECHNOLOGY AVAILABILITY OF DATA POVERTY LINES POVERTY DATA CONSUMPTION RELIABILITY CLIMATE CHANGE TRANSPARENCY POVERTY REDUCTION PROGRAM POVERTY MEASUREMENT REDUCTION IN POVERTY RESULTS PURCHASING POWER METADATA POVERTY MONITORING EFFORTS TELECOMMUNICATION SYSTEMS MEASUREMENT PRIVATE SECTOR COUNTING SURVEYS RESULT POOR POPULATION REGIONS NETWORK EXTREME POVERTY STATISTICS RISK HUMAN RESOURCES POVERTY RURAL AREAS SAMPLING PERFORMANCE GLOBAL STANDARD IMPUTATION FINANCIAL SUPPORT CONSUMER PRICE INDEX PRECISION POVERTY’ DATA REGIONAL TRENDS POVERTY RATE DATABASE POVERTY ACROSS COUNTRIES OUTCOMES ECONOMIC SHOCKS TARGET PRICES USES INNOVATIONS HUMAN DEVELOPMENT PREDICTIONS DATA PROCESSING POVERTY LINE CALCULATION ERRORS TELECOMMUNICATION INCOME POVERTY ESTIMATES POVERTY RATES NATIONAL POVERTY LINE POVERTY MONITORING FINANCIAL RESOURCES INFORMATION CONSUMPTION DATA PROGRAMS MONITORING DATA MONITORING STANDARD MEASUREMENT NATIONAL POVERTY IMPACTS CAPACITY BUILDING VARIABLES PRICE TIME PERIOD GLOBAL POVERTY QUALITY SUSTAINABLE DEVELOPMENT POVERTY MEASURES OPEN ACCESS COMPUTER ECONOMIC SHOCK REGION POVERTY REDUCTION ECONOMIC ACTIVITY TIME PERIODS DATA TECHNICAL ASSISTANCE SAMPLING ERRORS COORDINATION MECHANISMS TARGETS INTERNATIONAL COMPARISON DATA COLLECTION METHODS WEB HOUSEHOLD SURVEYS INDICATORS DATA ACCESS RESEARCH SOCIAL INDICATORS SOCIAL DEVELOPMENT DATABASES USERS TECHNOLOGY AVAILABILITY OF DATA POVERTY LINES POVERTY DATA CONSUMPTION RELIABILITY CLIMATE CHANGE TRANSPARENCY POVERTY REDUCTION PROGRAM POVERTY MEASUREMENT REDUCTION IN POVERTY RESULTS PURCHASING POWER METADATA POVERTY MONITORING EFFORTS TELECOMMUNICATION SYSTEMS MEASUREMENT PRIVATE SECTOR COUNTING SURVEYS RESULT POOR POPULATION REGIONS NETWORK EXTREME POVERTY STATISTICS RISK HUMAN RESOURCES POVERTY RURAL AREAS SAMPLING PERFORMANCE GLOBAL STANDARD IMPUTATION FINANCIAL SUPPORT CONSUMER PRICE INDEX PRECISION POVERTY’ DATA REGIONAL TRENDS POVERTY RATE DATABASE POVERTY ACROSS COUNTRIES OUTCOMES ECONOMIC SHOCKS TARGET PRICES USES INNOVATIONS HUMAN DEVELOPMENT Serajuddin, Umar Uematsu, Hiroki Wieser, Christina Yoshida, Nobuo Dabalen, Andrew Data Deprivation |
| description |
The Millennium Development Goal of
halving the incidence of extreme poverty from its 1990 level
will be achieved in 2015, and the international development
community is now moving to a new goal of “ending extreme
poverty.” However, the data needed to monitor progress
remain severely limited. During the 10 year period between
2002 and 2011, as many as 57 countries have zero or only one
poverty estimate. This paper refers to such lack of poverty
data as “data deprivation,” because the poor are often
socially marginalized and voiceless, and the collection of
objective and quantitative data is crucial in locating them
and formulating policy to help them exit extreme
deprivation. This paper studies the extent of data
deprivation and proposes targets for ending data deprivation
by 2030—the year by when the international community aims to
end extreme poverty. According to the analysis in this
paper, this target is ambitious but possible, and achieving
it is necessary to be able to declare the end of extreme
poverty with confidence. |
| format |
Working Paper |
| topic_facet |
PREDICTIONS DATA PROCESSING POVERTY LINE CALCULATION ERRORS TELECOMMUNICATION INCOME POVERTY ESTIMATES POVERTY RATES NATIONAL POVERTY LINE POVERTY MONITORING FINANCIAL RESOURCES INFORMATION CONSUMPTION DATA PROGRAMS MONITORING DATA MONITORING STANDARD MEASUREMENT NATIONAL POVERTY IMPACTS CAPACITY BUILDING VARIABLES PRICE TIME PERIOD GLOBAL POVERTY QUALITY SUSTAINABLE DEVELOPMENT POVERTY MEASURES OPEN ACCESS COMPUTER ECONOMIC SHOCK REGION POVERTY REDUCTION ECONOMIC ACTIVITY TIME PERIODS DATA TECHNICAL ASSISTANCE SAMPLING ERRORS COORDINATION MECHANISMS TARGETS INTERNATIONAL COMPARISON DATA COLLECTION METHODS WEB HOUSEHOLD SURVEYS INDICATORS DATA ACCESS RESEARCH SOCIAL INDICATORS SOCIAL DEVELOPMENT DATABASES USERS TECHNOLOGY AVAILABILITY OF DATA POVERTY LINES POVERTY DATA CONSUMPTION RELIABILITY CLIMATE CHANGE TRANSPARENCY POVERTY REDUCTION PROGRAM POVERTY MEASUREMENT REDUCTION IN POVERTY RESULTS PURCHASING POWER METADATA POVERTY MONITORING EFFORTS TELECOMMUNICATION SYSTEMS MEASUREMENT PRIVATE SECTOR COUNTING SURVEYS RESULT POOR POPULATION REGIONS NETWORK EXTREME POVERTY STATISTICS RISK HUMAN RESOURCES POVERTY RURAL AREAS SAMPLING PERFORMANCE GLOBAL STANDARD IMPUTATION FINANCIAL SUPPORT CONSUMER PRICE INDEX PRECISION POVERTY’ DATA REGIONAL TRENDS POVERTY RATE DATABASE POVERTY ACROSS COUNTRIES OUTCOMES ECONOMIC SHOCKS TARGET PRICES USES INNOVATIONS HUMAN DEVELOPMENT |
| author |
Serajuddin, Umar Uematsu, Hiroki Wieser, Christina Yoshida, Nobuo Dabalen, Andrew |
| author_facet |
Serajuddin, Umar Uematsu, Hiroki Wieser, Christina Yoshida, Nobuo Dabalen, Andrew |
| author_sort |
Serajuddin, Umar |
| title |
Data Deprivation |
| title_short |
Data Deprivation |
| title_full |
Data Deprivation |
| title_fullStr |
Data Deprivation |
| title_full_unstemmed |
Data Deprivation |
| title_sort |
data deprivation |
| publisher |
World Bank, Washington, DC |
| publishDate |
2015-04 |
| url |
http://documents.worldbank.org/curated/en/2015/04/24426058/data-deprivation-another-deprivation-end https://hdl.handle.net/10986/21867 |
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1807157659318616064 |