Unpacking the MPI : A Decomposition Approach of Changes in Multidimensional Poverty Headcounts
Multidimensional measures of poverty have become standard as complementary indicators of poverty in many countries. Multidimensional poverty calculations typically comprise three indices: the multidimensional headcount, the average deprivation shar...
| Main Authors: | , , , |
|---|---|
| Format: | Working Paper |
| Language: | English en_US |
| Published: |
World Bank, Washington, DC
2015
|
| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/2015/12/25669944/unpacking-mpi-decomposition-approach-changes-multidimensional-poverty-headcounts http://hdl.handle.net/10986/23478 |
| id |
okr-10986-23478 |
|---|---|
| recordtype |
oai_dc |
| spelling |
okr-10986-234782021-04-23T14:04:15Z Unpacking the MPI : A Decomposition Approach of Changes in Multidimensional Poverty Headcounts Pérez Pérez, Jorge Eduardo Rodriguez Castelan, Carlos Trujillo, Jose Daniel Valderrama, Daniel WASTE UNEMPLOYMENT EMPLOYMENT EQUITY HOUSEHOLD SIZE CROSS SECTION DATA POVERTY INDEX POVERTY MEASUREMENT INCOME LONGITUDINAL DATA CARE POVERTY RATES HEALTH EDUCATION COUNTERFACTUAL HEALTH INSURANCE INDEXES HEALTH EQUILIBRIUM RURAL MEASUREMENT SAMPLE SIZE CHILD LABOUR NUTRITION QUALITY SURVEYS MEASURES QUALITY OF LIFE POVERTY MEASURES INSURANCE POVERTY REDUCTION WEIGHT POVERTY INDICATORS CHILDREN EXERCISES STATISTICS EDUCATIONAL ATTAINMENT POVERTY HOUSEHOLD HEAD INCOME GROWTH DESCRIPTIVE STATISTICS INCIDENCE POPULATION OBSERVATION POVERTY DYNAMICS ACCESS TO HEALTH SERVICES HOUSEHOLD INCOME POOR POOR INDIVIDUALS INDICATORS RESEARCH OUTCOMES INDICATORS OF POVERTY HEALTH SERVICES POVERTY ANALYSIS HUMAN DEVELOPMENT INEQUALITY Multidimensional measures of poverty have become standard as complementary indicators of poverty in many countries. Multidimensional poverty calculations typically comprise three indices: the multidimensional headcount, the average deprivation share among the poor, and the adjusted headcount ratio. While several decomposition methodologies are available for the last index, less attention has been paid to decomposing the multidimensional headcount, despite the attention it receives from policy makers. This paper proposes an application of existing methodologies that decompose welfare aggregates--based on counterfactual simulations--to break up the changes of the multidimensional poverty headcount into the variation attributed to each of its dimensions. This paper examines the potential issues of using counterfactual simulations in this framework, proposes approaches to assess these issues in real applications, and suggests a methodology based on rank preservation within strata, which performs positively in simulations. The methodology is applied in the context of the recent reduction of multidimensional poverty in Colombia, finding that the dimensions associated with education and health are the main drivers behind the poverty decline. 2015-12-22T17:00:39Z 2015-12-22T17:00:39Z 2015-12 Working Paper http://documents.worldbank.org/curated/en/2015/12/25669944/unpacking-mpi-decomposition-approach-changes-multidimensional-poverty-headcounts http://hdl.handle.net/10986/23478 English en_US Policy Research Working Paper;No. 7514 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 Colombia |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
WASTE UNEMPLOYMENT EMPLOYMENT EQUITY HOUSEHOLD SIZE CROSS SECTION DATA POVERTY INDEX POVERTY MEASUREMENT INCOME LONGITUDINAL DATA CARE POVERTY RATES HEALTH EDUCATION COUNTERFACTUAL HEALTH INSURANCE INDEXES HEALTH EQUILIBRIUM RURAL MEASUREMENT SAMPLE SIZE CHILD LABOUR NUTRITION QUALITY SURVEYS MEASURES QUALITY OF LIFE POVERTY MEASURES INSURANCE POVERTY REDUCTION WEIGHT POVERTY INDICATORS CHILDREN EXERCISES STATISTICS EDUCATIONAL ATTAINMENT POVERTY HOUSEHOLD HEAD INCOME GROWTH DESCRIPTIVE STATISTICS INCIDENCE POPULATION OBSERVATION POVERTY DYNAMICS ACCESS TO HEALTH SERVICES HOUSEHOLD INCOME POOR POOR INDIVIDUALS INDICATORS RESEARCH OUTCOMES INDICATORS OF POVERTY HEALTH SERVICES POVERTY ANALYSIS HUMAN DEVELOPMENT INEQUALITY |
| spellingShingle |
WASTE UNEMPLOYMENT EMPLOYMENT EQUITY HOUSEHOLD SIZE CROSS SECTION DATA POVERTY INDEX POVERTY MEASUREMENT INCOME LONGITUDINAL DATA CARE POVERTY RATES HEALTH EDUCATION COUNTERFACTUAL HEALTH INSURANCE INDEXES HEALTH EQUILIBRIUM RURAL MEASUREMENT SAMPLE SIZE CHILD LABOUR NUTRITION QUALITY SURVEYS MEASURES QUALITY OF LIFE POVERTY MEASURES INSURANCE POVERTY REDUCTION WEIGHT POVERTY INDICATORS CHILDREN EXERCISES STATISTICS EDUCATIONAL ATTAINMENT POVERTY HOUSEHOLD HEAD INCOME GROWTH DESCRIPTIVE STATISTICS INCIDENCE POPULATION OBSERVATION POVERTY DYNAMICS ACCESS TO HEALTH SERVICES HOUSEHOLD INCOME POOR POOR INDIVIDUALS INDICATORS RESEARCH OUTCOMES INDICATORS OF POVERTY HEALTH SERVICES POVERTY ANALYSIS HUMAN DEVELOPMENT INEQUALITY Pérez Pérez, Jorge Eduardo Rodriguez Castelan, Carlos Trujillo, Jose Daniel Valderrama, Daniel Unpacking the MPI : A Decomposition Approach of Changes in Multidimensional Poverty Headcounts |
| geographic_facet |
Colombia |
| relation |
Policy Research Working Paper;No. 7514 |
| description |
Multidimensional measures of poverty
have become standard as complementary indicators of poverty
in many countries. Multidimensional poverty calculations
typically comprise three indices: the multidimensional
headcount, the average deprivation share among the poor, and
the adjusted headcount ratio. While several decomposition
methodologies are available for the last index, less
attention has been paid to decomposing the multidimensional
headcount, despite the attention it receives from policy
makers. This paper proposes an application of existing
methodologies that decompose welfare aggregates--based on
counterfactual simulations--to break up the changes of the
multidimensional poverty headcount into the variation
attributed to each of its dimensions. This paper examines
the potential issues of using counterfactual simulations in
this framework, proposes approaches to assess these issues
in real applications, and suggests a methodology based on
rank preservation within strata, which performs positively
in simulations. The methodology is applied in the context of
the recent reduction of multidimensional poverty in
Colombia, finding that the dimensions associated with
education and health are the main drivers behind the poverty decline. |
| format |
Working Paper |
| author |
Pérez Pérez, Jorge Eduardo Rodriguez Castelan, Carlos Trujillo, Jose Daniel Valderrama, Daniel |
| author_facet |
Pérez Pérez, Jorge Eduardo Rodriguez Castelan, Carlos Trujillo, Jose Daniel Valderrama, Daniel |
| author_sort |
Pérez Pérez, Jorge Eduardo |
| title |
Unpacking the MPI : A Decomposition Approach of Changes in Multidimensional Poverty Headcounts |
| title_short |
Unpacking the MPI : A Decomposition Approach of Changes in Multidimensional Poverty Headcounts |
| title_full |
Unpacking the MPI : A Decomposition Approach of Changes in Multidimensional Poverty Headcounts |
| title_fullStr |
Unpacking the MPI : A Decomposition Approach of Changes in Multidimensional Poverty Headcounts |
| title_full_unstemmed |
Unpacking the MPI : A Decomposition Approach of Changes in Multidimensional Poverty Headcounts |
| title_sort |
unpacking the mpi : a decomposition approach of changes in multidimensional poverty headcounts |
| publisher |
World Bank, Washington, DC |
| publishDate |
2015 |
| url |
http://documents.worldbank.org/curated/en/2015/12/25669944/unpacking-mpi-decomposition-approach-changes-multidimensional-poverty-headcounts http://hdl.handle.net/10986/23478 |
| _version_ |
1764453955754000384 |