SlideShare a Scribd company logo
1 of 18
Paris, September 19 – 21, 2018
Global Multidimensional
Poverty Index in Jordan
Maha Dawas
Department of Statistic
Head of Poverty Statistic Division
Jordan
Introduction
The Oxford Poverty and Human Development Initiative
(OPHI) of Oxford University and the Human Development
Report Office of the United Nations Development Programme
(UNDP) launched in July 2010 a new poverty measure that
gives a “multidimensional” picture of people living in poverty
which its creators say could help target development resources
more effectively.
What is the global MPI?
The global Multidimensional Poverty Index (MPI) is an
international measure of acute poverty covering over 100
developing countries. It complements traditional income-
based poverty measures by capturing the severe
deprivations that each person faces at the same time with
respect to education, health and living standards.
What does the global MPI measure
 The MPI uses 10 indicators to measure three critical dimensions of
poverty at the household level: education, health and living standard in 104
developing countries.
The MPI also reflects the intensity of poverty – the sum of weighted
deprivations that each household faces at the same time. A person who is
deprived in 70% of the indicators is clearly worse off than someone who is
deprived in 40% of the indicators.
Dimensions, Indicators and Weight of MPI
Dimension Indicator Deprived if….. Weight
Education
Years of Schools
No household member aged 10 years or older has completed five
years of schooling. 1/6
Child School
Attendance
Any school - age child is not attending school up to the age at
which he/she would complete class 8. 1/6
Health
Child Mortality
Any child has died in the family in the five-year period preceding
the survey. 1/6
Nutrition
Any adult under 70 years of age or any child for whom there is
nutritional information is undernourished in terms of weight for
age.
1/6
Living
Standard
Electricity The household has no electricity. 1/18
Improved Sanitation
The household’s sanitation facility is not improved is improved but
shared with other households. 1/18
Improved Drinking
Water
The household does not have access to improved drinking water
(according to MDG guidelines) or safe drinking water is at least a
30-minute walk from home, round trip. 1/18
Flooring
The household has a dirt, sand, dung, or ‘other’ (unspecified)
type of floor. 1/18
Cooking Fuel The household cooks with dung, wood, or charcoal. 1/18
Assets Ownership
The household does not own more than one of these assets: radio,
TV, telephone, bicycle, motorbike, or refrigerator, and does not
own a car or truck.
1/18
How to Apply the Alkire Foster Method
11 Steps to a Multidimensional Poverty Measure:
Step 1: Choose Unit of Analysis. The unit of analysis
is most commonly an individual or household but
could also be a community, school, clinic, firm,
district, or other unit.
Step 2: Choose Dimensions.
Step3: Choose Indicators. Indicators are chosen for
each dimension on the principles of accuracy (using as
many indicators as necessary so that analysis can
properly guide policy).
Step 4: Set Poverty Lines. A poverty cutoff is set for each
dimension. This step establishes the first cutoff in the
methodology. Every person can then be identified as
deprived or non deprived with respect to each dimension.
Step 5: Count the Number of Deprivations for Each
Person.
Step 6: Set the Second Cutoff. Assuming equal weights for
simplicity, set a second identification cutoff, k, which gives
the number of dimensions in which a person must be
deprived in order to be considered multidimensionally
poor.
Count./
Step 7: Apply Cutoff k to Obtain the Set of Poor
Persons and Censor All Non poor Data. The focus is
now on the profile of the poor and the dimensions in
which they are deprived. All information on the non
poor is replaced with zeros (0).
Step 8: Calculate the Headcount, H. Divide the
number of poor people by the total number of people.
Step 9: Calculate the Average Poverty Gap, A. A is
the average number of deprivations a poor person
suffers.
Count./
Step 10: Calculate the Adjusted Headcount, M0.
Multidimensional poverty is measured by the adjusted
headcount, M0, which is calculated as H times A. Headcount
poverty is multiplied by the „average‟ number of dimensions in
which all poor people are deprived to reflect the breadth of
deprivations.
Step 11: Decompose by Group and Break Down by Dimension.
The adjusted headcount M0 can be decomposed by population
subgroup (such as region, rural/ urban, or ethnicity). After
constructing M0 for each subgroup of the sample, we can break
M0 apart to study the contribution of each dimension to overall
poverty.
Count./
Source of Data
The data used for MPI modeling are
from the DHS Survey for Jordan,
collected in 2009 and 2012.
8/27/201812
Key Finding
8/27/201813
Multidimensional
Poverty Index
(MPI=H*A)
Percentage of Poor People (H)
)K = 33.3%(
Average Intensity Across the
Poor(A)
0.006 1.7% 35.0%
Table show that Jordan‟s multidimensional poverty rate for 2012 is
1.7 per cent of the population. The average intensity of deprivation,
which reflects the share of deprivations each poor person
experiences on average, is 35 per cent. Since MPI is the product of
the percentage of poor people (H) and the average intensity of
poverty (A), it yields an index of 0.006, which shows that poor
people in Jordan experience 6/10th of the deprivations that would be
experienced if all people were deprived in all indicators.
8/27/201814
Region MPI = (H*A)
H (Incidence )
K = 33.3%
A (Intensity)
Central 0.005 1.6% 34.9%
North 0.006 1.8% 35.5%
South 0.008 2.2% 34.2%
Urban/Rural MPI = (H*A)
H (Incidence )
K = 33.3% A (Intensity)
Urban 0.006 1.7% 34.7%
Rural 0.007 1.8% 36.2%
Time period
Region
MPIT HT (Incidence ) AT (Intensity)
2007
National
0.013 3.6 35.5
2009 0.011 3.1 34.6
2007
Urban
0.012 3.4 35.0
2009 0.010 2.8 34.5
2007
Rural
0.017 4.5 37.1
2009 0.015 4.3 34.9
Comparative Poverty Measures
1.7%
0%
2%
4%
6%
8%
10%
12%
14%
16%
MPI (H) 2012 National poverty line 2010
14.4%
Poverty Measure
ProportionofPopulation
IAOS 2018 - Global Multidimensional Poverty Index in Jordan, M. Dawas

More Related Content

What's hot

Measures of poverty
Measures of povertyMeasures of poverty
Measures of povertyMalik Saif
 
Economic conditions and lived poverty in Bostwana
Economic conditions and lived poverty in BostwanaEconomic conditions and lived poverty in Bostwana
Economic conditions and lived poverty in BostwanaAfrobarometer
 
Active Ageing Index, in regional policy monitoring
Active Ageing Index, in regional policy monitoringActive Ageing Index, in regional policy monitoring
Active Ageing Index, in regional policy monitoringSergio Murillo Corzo
 
Policy Uses of Well-being and Sustainable Development Indicators in Latin Ame...
Policy Uses of Well-being and Sustainable Development Indicators in Latin Ame...Policy Uses of Well-being and Sustainable Development Indicators in Latin Ame...
Policy Uses of Well-being and Sustainable Development Indicators in Latin Ame...StatsCommunications
 
Poverty - BAF
Poverty - BAFPoverty - BAF
Poverty - BAFJay Mehta
 
4a Co-Living - Tiago Miranda - Social design projects
4a Co-Living - Tiago Miranda - Social design projects4a Co-Living - Tiago Miranda - Social design projects
4a Co-Living - Tiago Miranda - Social design projectsCasa Netural
 
The Law on social development and the introduction of multidimensional povert...
The Law on social development and the introduction of multidimensional povert...The Law on social development and the introduction of multidimensional povert...
The Law on social development and the introduction of multidimensional povert...UNICEF Algérie
 
Human Development Report 2014
Human Development Report 2014Human Development Report 2014
Human Development Report 2014UNDP Türkiye
 
The impact of public policies on the reduction of inequality, CNES (Algérie).
The impact of public policies on the reduction of inequality, CNES (Algérie).The impact of public policies on the reduction of inequality, CNES (Algérie).
The impact of public policies on the reduction of inequality, CNES (Algérie).UNICEF Algérie
 
Human poverty index
Human poverty indexHuman poverty index
Human poverty indexsravlinmary
 

What's hot (12)

Measures of poverty
Measures of povertyMeasures of poverty
Measures of poverty
 
Economic conditions and lived poverty in Bostwana
Economic conditions and lived poverty in BostwanaEconomic conditions and lived poverty in Bostwana
Economic conditions and lived poverty in Bostwana
 
Active Ageing Index, in regional policy monitoring
Active Ageing Index, in regional policy monitoringActive Ageing Index, in regional policy monitoring
Active Ageing Index, in regional policy monitoring
 
Policy Uses of Well-being and Sustainable Development Indicators in Latin Ame...
Policy Uses of Well-being and Sustainable Development Indicators in Latin Ame...Policy Uses of Well-being and Sustainable Development Indicators in Latin Ame...
Policy Uses of Well-being and Sustainable Development Indicators in Latin Ame...
 
Poverty - BAF
Poverty - BAFPoverty - BAF
Poverty - BAF
 
4a Co-Living - Tiago Miranda - Social design projects
4a Co-Living - Tiago Miranda - Social design projects4a Co-Living - Tiago Miranda - Social design projects
4a Co-Living - Tiago Miranda - Social design projects
 
The Law on social development and the introduction of multidimensional povert...
The Law on social development and the introduction of multidimensional povert...The Law on social development and the introduction of multidimensional povert...
The Law on social development and the introduction of multidimensional povert...
 
Human Development Report 2014
Human Development Report 2014Human Development Report 2014
Human Development Report 2014
 
The impact of public policies on the reduction of inequality, CNES (Algérie).
The impact of public policies on the reduction of inequality, CNES (Algérie).The impact of public policies on the reduction of inequality, CNES (Algérie).
The impact of public policies on the reduction of inequality, CNES (Algérie).
 
MPI_Abdul Hameed
MPI_Abdul HameedMPI_Abdul Hameed
MPI_Abdul Hameed
 
Hpi
HpiHpi
Hpi
 
Human poverty index
Human poverty indexHuman poverty index
Human poverty index
 

Similar to IAOS 2018 - Global Multidimensional Poverty Index in Jordan, M. Dawas

Cartagena Data Festival 2015: Making older people count Pt 1
Cartagena Data Festival 2015: Making older people count Pt 1Cartagena Data Festival 2015: Making older people count Pt 1
Cartagena Data Festival 2015: Making older people count Pt 1HelpAge International
 
Mec-105 2015-16 Free Ignou Assignment
Mec-105 2015-16 Free Ignou AssignmentMec-105 2015-16 Free Ignou Assignment
Mec-105 2015-16 Free Ignou AssignmentRahul Singh
 
Economics: Poverty, Inequality & Development
Economics: Poverty, Inequality & Development Economics: Poverty, Inequality & Development
Economics: Poverty, Inequality & Development Lilliene Alleje
 
Equity in the Basic Education Opportunities in Egypt
Equity in the Basic Education Opportunities in EgyptEquity in the Basic Education Opportunities in Egypt
Equity in the Basic Education Opportunities in EgyptEman Refaat
 
Unstacking global poverty -data for high impact action.pdf
Unstacking global poverty -data for high impact action.pdfUnstacking global poverty -data for high impact action.pdf
Unstacking global poverty -data for high impact action.pdfChristina Parmionova
 
14 Development Definitions And Measuring Development
14 Development Definitions And Measuring Development14 Development Definitions And Measuring Development
14 Development Definitions And Measuring DevelopmentEcumene
 
Child Poverty Eradication and Sustainable Development: A Reality Check
Child Poverty Eradication and Sustainable Development: A Reality CheckChild Poverty Eradication and Sustainable Development: A Reality Check
Child Poverty Eradication and Sustainable Development: A Reality CheckSustainability Knowledge Group
 
Social Justice in Egypt from a Poverty Perspective
Social Justice in Egypt from a Poverty Perspective Social Justice in Egypt from a Poverty Perspective
Social Justice in Egypt from a Poverty Perspective Dcode EFC
 
Lecture4_Poverty_Presentation_8.8.22.pptx
Lecture4_Poverty_Presentation_8.8.22.pptxLecture4_Poverty_Presentation_8.8.22.pptx
Lecture4_Poverty_Presentation_8.8.22.pptxMikhailSetiawan1
 
Session 6 b presentazione multidim pov
Session 6 b presentazione multidim povSession 6 b presentazione multidim pov
Session 6 b presentazione multidim povIARIW 2014
 
HUMAN DEVELOPMENT INDEX AND ITS MEASUREMENT
HUMAN DEVELOPMENT INDEX AND ITS MEASUREMENTHUMAN DEVELOPMENT INDEX AND ITS MEASUREMENT
HUMAN DEVELOPMENT INDEX AND ITS MEASUREMENTarslan_bzu
 
2016 the-sustainable-development-goals-report-2016 from the UN
2016 the-sustainable-development-goals-report-2016 from the UN2016 the-sustainable-development-goals-report-2016 from the UN
2016 the-sustainable-development-goals-report-2016 from the UNLausanne Montreux Congress
 
The Sustainable Development Goals Report 2016
The Sustainable Development Goals Report 2016The Sustainable Development Goals Report 2016
The Sustainable Development Goals Report 2016Peerasak C.
 
The sustainable development goals report 2016
The sustainable development goals report 2016The sustainable development goals report 2016
The sustainable development goals report 2016Global Citizen Network
 
The Sustainable Development Goals Report 2016
The Sustainable Development Goals Report 2016The Sustainable Development Goals Report 2016
The Sustainable Development Goals Report 2016Richard Hong
 
Rationale convergence planning
Rationale convergence planningRationale convergence planning
Rationale convergence planningLexi Ixel
 
An Interdisciplinary Perspective on Global Health and the SDGs - Prof. Sir An...
An Interdisciplinary Perspective on Global Health and the SDGs - Prof. Sir An...An Interdisciplinary Perspective on Global Health and the SDGs - Prof. Sir An...
An Interdisciplinary Perspective on Global Health and the SDGs - Prof. Sir An...LIDC
 

Similar to IAOS 2018 - Global Multidimensional Poverty Index in Jordan, M. Dawas (20)

Cartagena Data Festival 2015: Making older people count Pt 1
Cartagena Data Festival 2015: Making older people count Pt 1Cartagena Data Festival 2015: Making older people count Pt 1
Cartagena Data Festival 2015: Making older people count Pt 1
 
HDI ppt.pptx
HDI ppt.pptxHDI ppt.pptx
HDI ppt.pptx
 
Mec-105 2015-16 Free Ignou Assignment
Mec-105 2015-16 Free Ignou AssignmentMec-105 2015-16 Free Ignou Assignment
Mec-105 2015-16 Free Ignou Assignment
 
Economics: Poverty, Inequality & Development
Economics: Poverty, Inequality & Development Economics: Poverty, Inequality & Development
Economics: Poverty, Inequality & Development
 
Equity in the Basic Education Opportunities in Egypt
Equity in the Basic Education Opportunities in EgyptEquity in the Basic Education Opportunities in Egypt
Equity in the Basic Education Opportunities in Egypt
 
Unstacking global poverty -data for high impact action.pdf
Unstacking global poverty -data for high impact action.pdfUnstacking global poverty -data for high impact action.pdf
Unstacking global poverty -data for high impact action.pdf
 
14 Development Definitions And Measuring Development
14 Development Definitions And Measuring Development14 Development Definitions And Measuring Development
14 Development Definitions And Measuring Development
 
Child Poverty Eradication and Sustainable Development: A Reality Check
Child Poverty Eradication and Sustainable Development: A Reality CheckChild Poverty Eradication and Sustainable Development: A Reality Check
Child Poverty Eradication and Sustainable Development: A Reality Check
 
Poverty
PovertyPoverty
Poverty
 
Social Justice in Egypt from a Poverty Perspective
Social Justice in Egypt from a Poverty Perspective Social Justice in Egypt from a Poverty Perspective
Social Justice in Egypt from a Poverty Perspective
 
Lecture4_Poverty_Presentation_8.8.22.pptx
Lecture4_Poverty_Presentation_8.8.22.pptxLecture4_Poverty_Presentation_8.8.22.pptx
Lecture4_Poverty_Presentation_8.8.22.pptx
 
Session 6 b presentazione multidim pov
Session 6 b presentazione multidim povSession 6 b presentazione multidim pov
Session 6 b presentazione multidim pov
 
HUMAN DEVELOPMENT INDEX AND ITS MEASUREMENT
HUMAN DEVELOPMENT INDEX AND ITS MEASUREMENTHUMAN DEVELOPMENT INDEX AND ITS MEASUREMENT
HUMAN DEVELOPMENT INDEX AND ITS MEASUREMENT
 
2016 the-sustainable-development-goals-report-2016 from the UN
2016 the-sustainable-development-goals-report-2016 from the UN2016 the-sustainable-development-goals-report-2016 from the UN
2016 the-sustainable-development-goals-report-2016 from the UN
 
The Sustainable Development Goals Report 2016
The Sustainable Development Goals Report 2016The Sustainable Development Goals Report 2016
The Sustainable Development Goals Report 2016
 
The sustainable development goals report 2016
The sustainable development goals report 2016The sustainable development goals report 2016
The sustainable development goals report 2016
 
The Sustainable Development Goals Report 2016
The Sustainable Development Goals Report 2016The Sustainable Development Goals Report 2016
The Sustainable Development Goals Report 2016
 
Sdgs and Mdgs
Sdgs and MdgsSdgs and Mdgs
Sdgs and Mdgs
 
Rationale convergence planning
Rationale convergence planningRationale convergence planning
Rationale convergence planning
 
An Interdisciplinary Perspective on Global Health and the SDGs - Prof. Sir An...
An Interdisciplinary Perspective on Global Health and the SDGs - Prof. Sir An...An Interdisciplinary Perspective on Global Health and the SDGs - Prof. Sir An...
An Interdisciplinary Perspective on Global Health and the SDGs - Prof. Sir An...
 

More from StatsCommunications

Globally inclusive approaches to measurement_Shigehiro Oishi.pdf
Globally inclusive approaches to measurement_Shigehiro Oishi.pdfGlobally inclusive approaches to measurement_Shigehiro Oishi.pdf
Globally inclusive approaches to measurement_Shigehiro Oishi.pdfStatsCommunications
 
Globally inclusive approaches to measurement_Erhabor Idemudia.pdf
Globally inclusive approaches to measurement_Erhabor Idemudia.pdfGlobally inclusive approaches to measurement_Erhabor Idemudia.pdf
Globally inclusive approaches to measurement_Erhabor Idemudia.pdfStatsCommunications
 
Globally inclusive approaches to measurement_Rosemary Goodyear.pdf
Globally inclusive approaches to measurement_Rosemary Goodyear.pdfGlobally inclusive approaches to measurement_Rosemary Goodyear.pdf
Globally inclusive approaches to measurement_Rosemary Goodyear.pdfStatsCommunications
 
A better understanding of domain satisfaction: Validity and policy use_Alessa...
A better understanding of domain satisfaction: Validity and policy use_Alessa...A better understanding of domain satisfaction: Validity and policy use_Alessa...
A better understanding of domain satisfaction: Validity and policy use_Alessa...StatsCommunications
 
A better understanding of domain satisfaction: Validity and policy use_Anthon...
A better understanding of domain satisfaction: Validity and policy use_Anthon...A better understanding of domain satisfaction: Validity and policy use_Anthon...
A better understanding of domain satisfaction: Validity and policy use_Anthon...StatsCommunications
 
A better understanding of domain satisfaction: Validity and policy use_Marian...
A better understanding of domain satisfaction: Validity and policy use_Marian...A better understanding of domain satisfaction: Validity and policy use_Marian...
A better understanding of domain satisfaction: Validity and policy use_Marian...StatsCommunications
 
Measuring subjective well-being in children and young people_Anna Visser.pdf
Measuring subjective well-being in children and young people_Anna Visser.pdfMeasuring subjective well-being in children and young people_Anna Visser.pdf
Measuring subjective well-being in children and young people_Anna Visser.pdfStatsCommunications
 
Measuring subjective well-being in children and young people_Oddrun Samdal.pdf
Measuring subjective well-being in children and young people_Oddrun Samdal.pdfMeasuring subjective well-being in children and young people_Oddrun Samdal.pdf
Measuring subjective well-being in children and young people_Oddrun Samdal.pdfStatsCommunications
 
Measuring subjective well-being in children and young people_Gwyther Rees.pdf
Measuring subjective well-being in children and young people_Gwyther Rees.pdfMeasuring subjective well-being in children and young people_Gwyther Rees.pdf
Measuring subjective well-being in children and young people_Gwyther Rees.pdfStatsCommunications
 
Measuring subjective well-being in children and young people_Sabrina Twilhaar...
Measuring subjective well-being in children and young people_Sabrina Twilhaar...Measuring subjective well-being in children and young people_Sabrina Twilhaar...
Measuring subjective well-being in children and young people_Sabrina Twilhaar...StatsCommunications
 
Towards a more comprehensive measure of eudaimonia_Nancy Hey.pdf
Towards a more comprehensive measure of eudaimonia_Nancy Hey.pdfTowards a more comprehensive measure of eudaimonia_Nancy Hey.pdf
Towards a more comprehensive measure of eudaimonia_Nancy Hey.pdfStatsCommunications
 
Towards a more comprehensive measure of eudaimonia_Carol Graham.pdf
Towards a more comprehensive measure of eudaimonia_Carol Graham.pdfTowards a more comprehensive measure of eudaimonia_Carol Graham.pdf
Towards a more comprehensive measure of eudaimonia_Carol Graham.pdfStatsCommunications
 
Towards a more comprehensive measure of eudaimonia_Carol Ryff.pdf
Towards a more comprehensive measure of eudaimonia_Carol Ryff.pdfTowards a more comprehensive measure of eudaimonia_Carol Ryff.pdf
Towards a more comprehensive measure of eudaimonia_Carol Ryff.pdfStatsCommunications
 
Revisiting affect: Which states to measure, and how_Lucia Macchia.pdf
Revisiting affect: Which states to measure, and how_Lucia Macchia.pdfRevisiting affect: Which states to measure, and how_Lucia Macchia.pdf
Revisiting affect: Which states to measure, and how_Lucia Macchia.pdfStatsCommunications
 
Revisiting affect: Which states to measure, and how_Conal Smith.pdf
Revisiting affect: Which states to measure, and how_Conal Smith.pdfRevisiting affect: Which states to measure, and how_Conal Smith.pdf
Revisiting affect: Which states to measure, and how_Conal Smith.pdfStatsCommunications
 
Revisiting affect: Which states to measure, and how_Arthur Stone.pdf
Revisiting affect: Which states to measure, and how_Arthur Stone.pdfRevisiting affect: Which states to measure, and how_Arthur Stone.pdf
Revisiting affect: Which states to measure, and how_Arthur Stone.pdfStatsCommunications
 
1 Intro_Measuring SWB_Romina_Boarini.pdf
1 Intro_Measuring SWB_Romina_Boarini.pdf1 Intro_Measuring SWB_Romina_Boarini.pdf
1 Intro_Measuring SWB_Romina_Boarini.pdfStatsCommunications
 
Key-findings_On-Shaky-Ground-Income-Instability-and-Economic-Insecurity-in-Eu...
Key-findings_On-Shaky-Ground-Income-Instability-and-Economic-Insecurity-in-Eu...Key-findings_On-Shaky-Ground-Income-Instability-and-Economic-Insecurity-in-Eu...
Key-findings_On-Shaky-Ground-Income-Instability-and-Economic-Insecurity-in-Eu...StatsCommunications
 

More from StatsCommunications (20)

Globally inclusive approaches to measurement_Shigehiro Oishi.pdf
Globally inclusive approaches to measurement_Shigehiro Oishi.pdfGlobally inclusive approaches to measurement_Shigehiro Oishi.pdf
Globally inclusive approaches to measurement_Shigehiro Oishi.pdf
 
Globally inclusive approaches to measurement_Erhabor Idemudia.pdf
Globally inclusive approaches to measurement_Erhabor Idemudia.pdfGlobally inclusive approaches to measurement_Erhabor Idemudia.pdf
Globally inclusive approaches to measurement_Erhabor Idemudia.pdf
 
Globally inclusive approaches to measurement_Rosemary Goodyear.pdf
Globally inclusive approaches to measurement_Rosemary Goodyear.pdfGlobally inclusive approaches to measurement_Rosemary Goodyear.pdf
Globally inclusive approaches to measurement_Rosemary Goodyear.pdf
 
A better understanding of domain satisfaction: Validity and policy use_Alessa...
A better understanding of domain satisfaction: Validity and policy use_Alessa...A better understanding of domain satisfaction: Validity and policy use_Alessa...
A better understanding of domain satisfaction: Validity and policy use_Alessa...
 
A better understanding of domain satisfaction: Validity and policy use_Anthon...
A better understanding of domain satisfaction: Validity and policy use_Anthon...A better understanding of domain satisfaction: Validity and policy use_Anthon...
A better understanding of domain satisfaction: Validity and policy use_Anthon...
 
A better understanding of domain satisfaction: Validity and policy use_Marian...
A better understanding of domain satisfaction: Validity and policy use_Marian...A better understanding of domain satisfaction: Validity and policy use_Marian...
A better understanding of domain satisfaction: Validity and policy use_Marian...
 
Measuring subjective well-being in children and young people_Anna Visser.pdf
Measuring subjective well-being in children and young people_Anna Visser.pdfMeasuring subjective well-being in children and young people_Anna Visser.pdf
Measuring subjective well-being in children and young people_Anna Visser.pdf
 
Measuring subjective well-being in children and young people_Oddrun Samdal.pdf
Measuring subjective well-being in children and young people_Oddrun Samdal.pdfMeasuring subjective well-being in children and young people_Oddrun Samdal.pdf
Measuring subjective well-being in children and young people_Oddrun Samdal.pdf
 
Measuring subjective well-being in children and young people_Gwyther Rees.pdf
Measuring subjective well-being in children and young people_Gwyther Rees.pdfMeasuring subjective well-being in children and young people_Gwyther Rees.pdf
Measuring subjective well-being in children and young people_Gwyther Rees.pdf
 
Measuring subjective well-being in children and young people_Sabrina Twilhaar...
Measuring subjective well-being in children and young people_Sabrina Twilhaar...Measuring subjective well-being in children and young people_Sabrina Twilhaar...
Measuring subjective well-being in children and young people_Sabrina Twilhaar...
 
Towards a more comprehensive measure of eudaimonia_Nancy Hey.pdf
Towards a more comprehensive measure of eudaimonia_Nancy Hey.pdfTowards a more comprehensive measure of eudaimonia_Nancy Hey.pdf
Towards a more comprehensive measure of eudaimonia_Nancy Hey.pdf
 
Towards a more comprehensive measure of eudaimonia_Carol Graham.pdf
Towards a more comprehensive measure of eudaimonia_Carol Graham.pdfTowards a more comprehensive measure of eudaimonia_Carol Graham.pdf
Towards a more comprehensive measure of eudaimonia_Carol Graham.pdf
 
Towards a more comprehensive measure of eudaimonia_Carol Ryff.pdf
Towards a more comprehensive measure of eudaimonia_Carol Ryff.pdfTowards a more comprehensive measure of eudaimonia_Carol Ryff.pdf
Towards a more comprehensive measure of eudaimonia_Carol Ryff.pdf
 
Revisiting affect: Which states to measure, and how_Lucia Macchia.pdf
Revisiting affect: Which states to measure, and how_Lucia Macchia.pdfRevisiting affect: Which states to measure, and how_Lucia Macchia.pdf
Revisiting affect: Which states to measure, and how_Lucia Macchia.pdf
 
Revisiting affect: Which states to measure, and how_Conal Smith.pdf
Revisiting affect: Which states to measure, and how_Conal Smith.pdfRevisiting affect: Which states to measure, and how_Conal Smith.pdf
Revisiting affect: Which states to measure, and how_Conal Smith.pdf
 
Revisiting affect: Which states to measure, and how_Arthur Stone.pdf
Revisiting affect: Which states to measure, and how_Arthur Stone.pdfRevisiting affect: Which states to measure, and how_Arthur Stone.pdf
Revisiting affect: Which states to measure, and how_Arthur Stone.pdf
 
1 Intro_Measuring SWB_Romina_Boarini.pdf
1 Intro_Measuring SWB_Romina_Boarini.pdf1 Intro_Measuring SWB_Romina_Boarini.pdf
1 Intro_Measuring SWB_Romina_Boarini.pdf
 
Key-findings_On-Shaky-Ground-Income-Instability-and-Economic-Insecurity-in-Eu...
Key-findings_On-Shaky-Ground-Income-Instability-and-Economic-Insecurity-in-Eu...Key-findings_On-Shaky-Ground-Income-Instability-and-Economic-Insecurity-in-Eu...
Key-findings_On-Shaky-Ground-Income-Instability-and-Economic-Insecurity-in-Eu...
 
Presentation Tatsuyoshi Oba.pdf
Presentation Tatsuyoshi Oba.pdfPresentation Tatsuyoshi Oba.pdf
Presentation Tatsuyoshi Oba.pdf
 
Amy slides.pdf
Amy slides.pdfAmy slides.pdf
Amy slides.pdf
 

Recently uploaded

Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Sapana Sha
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...Suhani Kapoor
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxJohnnyPlasten
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Aminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
Aminabad Call Girl Agent 9548273370 , Call Girls Service LucknowAminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
Aminabad Call Girl Agent 9548273370 , Call Girls Service Lucknowmakika9823
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...Florian Roscheck
 
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls DubaiDubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls Dubaihf8803863
 
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsappssapnasaifi408
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts ServiceSapana Sha
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Jack DiGiovanna
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfSocial Samosa
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfMarinCaroMartnezBerg
 
Digi Khata Problem along complete plan.pptx
Digi Khata Problem along complete plan.pptxDigi Khata Problem along complete plan.pptx
Digi Khata Problem along complete plan.pptxTanveerAhmed817946
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptxthyngster
 
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...Pooja Nehwal
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Delhi Call girls
 

Recently uploaded (20)

Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptx
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Aminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
Aminabad Call Girl Agent 9548273370 , Call Girls Service LucknowAminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
Aminabad Call Girl Agent 9548273370 , Call Girls Service Lucknow
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
 
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls DubaiDubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
 
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts Service
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 
Digi Khata Problem along complete plan.pptx
Digi Khata Problem along complete plan.pptxDigi Khata Problem along complete plan.pptx
Digi Khata Problem along complete plan.pptx
 
E-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptxE-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptx
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
 
Decoding Loan Approval: Predictive Modeling in Action
Decoding Loan Approval: Predictive Modeling in ActionDecoding Loan Approval: Predictive Modeling in Action
Decoding Loan Approval: Predictive Modeling in Action
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
 
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
 
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
 

IAOS 2018 - Global Multidimensional Poverty Index in Jordan, M. Dawas

  • 1. Paris, September 19 – 21, 2018 Global Multidimensional Poverty Index in Jordan Maha Dawas Department of Statistic Head of Poverty Statistic Division Jordan
  • 2. Introduction The Oxford Poverty and Human Development Initiative (OPHI) of Oxford University and the Human Development Report Office of the United Nations Development Programme (UNDP) launched in July 2010 a new poverty measure that gives a “multidimensional” picture of people living in poverty which its creators say could help target development resources more effectively.
  • 3. What is the global MPI? The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering over 100 developing countries. It complements traditional income- based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards.
  • 4. What does the global MPI measure  The MPI uses 10 indicators to measure three critical dimensions of poverty at the household level: education, health and living standard in 104 developing countries. The MPI also reflects the intensity of poverty – the sum of weighted deprivations that each household faces at the same time. A person who is deprived in 70% of the indicators is clearly worse off than someone who is deprived in 40% of the indicators.
  • 6. Dimension Indicator Deprived if….. Weight Education Years of Schools No household member aged 10 years or older has completed five years of schooling. 1/6 Child School Attendance Any school - age child is not attending school up to the age at which he/she would complete class 8. 1/6 Health Child Mortality Any child has died in the family in the five-year period preceding the survey. 1/6 Nutrition Any adult under 70 years of age or any child for whom there is nutritional information is undernourished in terms of weight for age. 1/6 Living Standard Electricity The household has no electricity. 1/18 Improved Sanitation The household’s sanitation facility is not improved is improved but shared with other households. 1/18 Improved Drinking Water The household does not have access to improved drinking water (according to MDG guidelines) or safe drinking water is at least a 30-minute walk from home, round trip. 1/18 Flooring The household has a dirt, sand, dung, or ‘other’ (unspecified) type of floor. 1/18 Cooking Fuel The household cooks with dung, wood, or charcoal. 1/18 Assets Ownership The household does not own more than one of these assets: radio, TV, telephone, bicycle, motorbike, or refrigerator, and does not own a car or truck. 1/18
  • 7. How to Apply the Alkire Foster Method 11 Steps to a Multidimensional Poverty Measure: Step 1: Choose Unit of Analysis. The unit of analysis is most commonly an individual or household but could also be a community, school, clinic, firm, district, or other unit. Step 2: Choose Dimensions. Step3: Choose Indicators. Indicators are chosen for each dimension on the principles of accuracy (using as many indicators as necessary so that analysis can properly guide policy).
  • 8. Step 4: Set Poverty Lines. A poverty cutoff is set for each dimension. This step establishes the first cutoff in the methodology. Every person can then be identified as deprived or non deprived with respect to each dimension. Step 5: Count the Number of Deprivations for Each Person. Step 6: Set the Second Cutoff. Assuming equal weights for simplicity, set a second identification cutoff, k, which gives the number of dimensions in which a person must be deprived in order to be considered multidimensionally poor. Count./
  • 9. Step 7: Apply Cutoff k to Obtain the Set of Poor Persons and Censor All Non poor Data. The focus is now on the profile of the poor and the dimensions in which they are deprived. All information on the non poor is replaced with zeros (0). Step 8: Calculate the Headcount, H. Divide the number of poor people by the total number of people. Step 9: Calculate the Average Poverty Gap, A. A is the average number of deprivations a poor person suffers. Count./
  • 10. Step 10: Calculate the Adjusted Headcount, M0. Multidimensional poverty is measured by the adjusted headcount, M0, which is calculated as H times A. Headcount poverty is multiplied by the „average‟ number of dimensions in which all poor people are deprived to reflect the breadth of deprivations. Step 11: Decompose by Group and Break Down by Dimension. The adjusted headcount M0 can be decomposed by population subgroup (such as region, rural/ urban, or ethnicity). After constructing M0 for each subgroup of the sample, we can break M0 apart to study the contribution of each dimension to overall poverty. Count./
  • 11. Source of Data The data used for MPI modeling are from the DHS Survey for Jordan, collected in 2009 and 2012.
  • 13. 8/27/201813 Multidimensional Poverty Index (MPI=H*A) Percentage of Poor People (H) )K = 33.3%( Average Intensity Across the Poor(A) 0.006 1.7% 35.0% Table show that Jordan‟s multidimensional poverty rate for 2012 is 1.7 per cent of the population. The average intensity of deprivation, which reflects the share of deprivations each poor person experiences on average, is 35 per cent. Since MPI is the product of the percentage of poor people (H) and the average intensity of poverty (A), it yields an index of 0.006, which shows that poor people in Jordan experience 6/10th of the deprivations that would be experienced if all people were deprived in all indicators.
  • 14. 8/27/201814 Region MPI = (H*A) H (Incidence ) K = 33.3% A (Intensity) Central 0.005 1.6% 34.9% North 0.006 1.8% 35.5% South 0.008 2.2% 34.2%
  • 15. Urban/Rural MPI = (H*A) H (Incidence ) K = 33.3% A (Intensity) Urban 0.006 1.7% 34.7% Rural 0.007 1.8% 36.2%
  • 16. Time period Region MPIT HT (Incidence ) AT (Intensity) 2007 National 0.013 3.6 35.5 2009 0.011 3.1 34.6 2007 Urban 0.012 3.4 35.0 2009 0.010 2.8 34.5 2007 Rural 0.017 4.5 37.1 2009 0.015 4.3 34.9
  • 17. Comparative Poverty Measures 1.7% 0% 2% 4% 6% 8% 10% 12% 14% 16% MPI (H) 2012 National poverty line 2010 14.4% Poverty Measure ProportionofPopulation