Multidimensional Wellbeing in Mozambique Vincenzo Salvucci University of Copenhagen and MPD/DNEAP.

Slides:



Advertisements
Similar presentations
Water and Sanitation MICS3 Data Analysis and Report Writing.
Advertisements

Household Questionnaire WATER AND SANITATION MODULE.
The Wealth Index MICS3 Data Analysis and Report Writing Workshop.
MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Household Questionnaire: Water and Sanitation.
UNICEF Global Study of Child Poverty & Disparities Data issues and preliminary findings for Nepal, India and Bangladesh Shailen Nandy School for Policy.
Wealth Index Sierra Leone CFSVA Objectives To define the wealth index To explain how to identify the appropriate variables to include in the wealth.
Multidmensional Poverty Measurement: The Mexican Wave Gonzalo Hernández Licona March, 2014.
Approaches to using MICS for Equity/Poverty Analysis
Giving all children a chance George Washington University April 2011 Jaime Saavedra Poverty Reduction and Equity THE WORLD BANK.
WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation, (JMP) Media Round Table
University of Oxford Centre for the Analysis of South African Social Policy What can Social Science Contribute to Neighbourhood renewal? Indices of Multiple.
11 The Multidimensional Poverty Index: Achievements, Conceptual, and Empirical Issues Caroline Dotter Stephan Klasen Universität Göttingen Milorad Kovacevic.
Presented by: Wosen Gezahegn, Amref Health Africa- Ethiopia
Multiple Overlapping Deprivation Analysis (MODA)
Approaches to using MICS for Equity/Poverty Analysis
Measuring Socioeconomic Status REACHING THE POOR Washington DC – Feb , 2004 Magnus Lindelow, The World Bank Abdo Yazbeck, The World Bank.
Measuring socio-economic impact of post-disaster shelter Developing a standardized methodology Shelter Meeting 09a, Geneva May 2009 Simone van Dijk Alexander.
An Introductory Overview to Multi Criteria Evaluation GEOG 5161: Research Design Professor Kenneth E. Foote Petra Norlund 2010.
Absolute Poverty After the World Summit on Social Development in Copenhagen in 1995, 117 countries adopted a declaration and programme of action which.
UNICEF THE GHANA SITUATION. UNICEF GHANA – Current Situation Data Sources The JMP based the 2004 coverage estimates on data from five nationally representative.
Multidimensional Poverty Index Human Development Report Office
UNICEF Report Card 10: Measuring Child Poverty CANADIAN COMPANION (excerpts)
Achieving the Water Targets for the Millennium Development Goals Keynote Speech World Water Day Seminar Miracle Grand Hotel 22 March 2012.
Discrepancies between National and International Data on Improved Drinking Water and Sanitation : Bangladesh Experience By A Y M Ekamul Hoque Director.
Water quality monitoring pre+post th Session of Joint Task Force on Environmental Indicators UNECE, Palais des Nations Geneva, 30 October 2012 Rifat.
1 21ST SESSION OF AFRICAN COMMSION FOR AGRICULTURE STATISTICS WORKSHOPWORKSHOP HELD IN ACCRA, GHANA, 28 – 31 OCTOBER 2009 By Lubili Marco Gambamala National.
WHO/UNICEF Joint Monitoring Programme Rifat Hossain Effective Collection of water and sanitation data from housing censuses Joint UNECE/Eurostat Meeting.
Applying expert knowledge to measure multidimensional rural poverty in Chittagong (Bangladesh) Melania Salazar- Ordóñez; Lorenzo Estepa- Mohedano; Rosa.
Overview Measuring Inequality Measuring Absolute Poverty
Using an asset index to assess trends in poverty in seven Sub- Saharan African countries Frikkie Booysen, Servaas van der Berg, Ronelle Burger, Gideon.
Reducing inequalities and poverty: Insights from Multidimensional Measurement Sabina Alkire 16 October 2012, 4 th OECD Forum, New Delhi.
Ecological Safety in Kyrgyzstan - Challenges and new solutions to sustainable sanitationBishkek, November 2008 Institute for Hygiene & Public Health,
Sanitation in South Asia: Progress and Challenges Clarissa Brocklehurst Chief of Water, Sanitation and Hygiene, UNICEF SACOSAN April 2011.
The Global Study on Child Poverty and Disparity Influencing Policy First National Symposium on Child Poverty in Yemen November 2008 Alberto Minujin.
MULTI-DIMENSIONAL POVERTY (MPI) METHODS APPLIED TO THE SAINT LUCIA LABOUR FORCE SURVEY SOME IDEAS FOR THE DEVELOPMENT OF AN OECS MULTI-DIMENSIONAL POVERTY.
Xavier Mancero Statistics Division, ECLAC Seminar on poverty measurement Geneva, 5-6 May 2015.
Bangladesh OPHI Summer School 2013 Group: #8 Bangladesh 2.
Summer School on Multidimensional Poverty 8–19 July 2013 Institute for International Economic Policy (IIEP) George Washington University Washington, DC.
Monitoring the MDG sanitation target
Measuring Equality of Opportunity in Latin America: a new agenda Washington DC January, 2009 Jaime Saavedra Poverty Reduction and Gender Group Latin America.
 Strategic Objective K.2: Integrate gender concerns and perspectives in policies and programmes for sustainable development.
OPHI Oxford Poverty & Human Development Initiative Department of International Development Queen Elizabeth House, University of Oxford
Latin America - Argentina - Mexico To come - Brasil, Chile, Peru, El Salvador.
Well-being and multidimensional deprivation: some results from the OECD Better Life Initiative Nicolas Ruiz.
OPHI Oxford Poverty & Human Development Initiative Department of International Development Queen Elizabeth House, University of Oxford
WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation (JMP) Comparing national and international monitoring of the MDG drinking water and.
WHO UNICEF WHO and UNICEF Joint Monitoring Programme Slide 1 Current Developments in JMP How does the JMP monitor progress towards the MDG drinking-water.
UGANDA OPHI Summer School 2013 Group: 7 Chrystelle, Elizabeth, Harriet, Iva, Peter, Sara, Shebo.
Four elementary points about multidimensional poverty Francisco H. G. Ferreira Deputy Chief Economist, LCR.
NIGERIA OPHI Summer School 2013 Group: Francesca, Geofrey, Gibson, Ismael and Maria.
WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation (JMP) JMP Methodology and reconciling national and international monitoring of the.
WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation (JMP) Comparing national and international monitoring of the MDG drinking water and.
BOLIVIA OPHI Summer School 2013 Group 2: BOLIVIA.
Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Water and Sanitation MICS4 Data Dissemination and Further Analysis.
Experiences Monitoring Global Drinking Water and Sanitation targets Rolf Luyendijk Sr. Statistics and Monitoring Specialist Water and Sanitation UNICEF.
Constructing the Welfare Aggregate Part 2: Adjusting for Differences Across Individuals Salman Zaidi Washington DC, January 19th,
Workshop on MDG Monitoring Presentation on Indicator 7.8 & 7.9 By Mary M. Wanyonyi Kenya National Bureau Of Statistics (KNBS )
Presentation Overview 1. Why Focus on PEN in Lao PDR 2. Methodology 3. Poverty Indicators 4. Environment Indicators 5. Linkages between Poverty and Environment.
Understanding child deprivation in the European Union: the multiple overlapping deprivation analysis (EU-MODA) approach SPA Conference 2014 Yekaterina.
Towards A Development Index Framework to Measure and Manage Development.
Mapping MPI and Monetary Poverty: The Case of Uganda
Multidimensional Poverty Index (MPI) for the Northeastern Afghanistan
Table 1. Comparative Characteristics of Poorest of the Poor Households
KENYA SECTOR MINISTERS MEETING PAHO Washington DC
Vasco Nhabinde Johannesburg, October 2018
National Institute of Statistics of Rwanda (NISR)
National Multidimensional Poverty Index (NMPI)
Bangladesh Child-Focused
Poverty measurement in Mauritius
POVERTY MESUREMENT IN UGANDA
Presentation transcript:

Multidimensional Wellbeing in Mozambique Vincenzo Salvucci University of Copenhagen and MPD/DNEAP

Introduction Measuring multidimensional wellbeing involves decisions regarding: – Dimensions/Indicators – Deprivation cutoffs – Relative importance/weights – Methodology for aggregation/synthetic index

Data Census (1997 and 2007) IAF/IOF (1996/97, 2002/03, 2008/09) DHS (1997, 2003, 2009, 2011) Others (MICS, TIA, etc.) Different indicators, definitions, representativity

Some studies MPI 2013 and 2014 – Based on DHS 2009 and 2011, respectively – Alkire-Foster methodology – National and provincial level A few DNEAP studies – Based on Census 1997 and 2007, IAF/IOF 1996/97 and 2008/09, DHS 1997, 2003, 2009, 2011 – FOD, Alkire-Foster, Fuzzy set methodology – Provincial, District, and Posto Admnistrativo level

A FIRST ORDER DOMINANCE APPROACH TO POVERTY MAPPING FOD principles – The state (0,1,1,0,0) is unambiguously better than (0,0,1,0,0) because the former state is always at least equivalent and is better than the latter in one instance – However, the states (1,0,1,0,0) and (1,1,0,0,0) are indeterminate – The FOD criterion is strict – No judgment is made as to the relative importance of dimension three versus all other dimensions

Safe water: – For 1997, not deprived when the water source is piped water inside or outside the house or the water source is standpipes. – For 2007, the water source should be piped water inside or outside the house/yard, spring water, hand pumped well water, or mineral/bottled water Sanitation: – For 1997, not deprived when there is a flush toilet or a latrine. – For 2007, having access to flush toilet, toilet with septic tank, or an improved latrine Education: Not deprived for households where at least one household member has some education Electricity: Not deprived for households with electricity for lighting Radio: Not deprived for households with a functioning radio

(a) Headcount ratio 1996/97 (b) Headcount ratio 2008/09 (c) 1996/97 – 2008/09 change

(a) Spatial FOD index 1997 (b) Spatial FOD index 2007 (c) Temporal FOD index

(a) Headcount ratio 1996/97 and spatial FOD index 1997 (b) Headcount ratio 2008/09 and spatial FOD index 2007 (c) Headcount ratio 2008/09 and 1996/97(d) Spatial FOD index 2007 and 1997

Poor/non-poor: consumption poverty indicator from the small area poverty analysis substitutes the radio indicator among the five FOD variables

(a) Spatial FOD index 1997 (b) Spatial FOD index 2007(c) Temporal FOD index

Serviços básicos e bem-estar em Moçambique, Sometimes studying individual dimensions is more useful for policy makers In this study we present an atlas of deprivation for several indicators Together with a multidimensional poverty index (using Alkire-Foster methodology)

Dimensions: – House type, floor, wall, and roof conditions – Sanitation – Safe water – Electricity – Access to information (radio) Census 1997 e 2007 Posto Administrativo level

Tabela

Multidimensional Poverty Index (M0_40)

Multidimensional Poverty in Mozambique: An Estimation Based on Two Different Methodologies Using the DHS 1997, 2003, 2009, and 2011 Here we compare FOD and Alkire-Foster methodology results Based on DHS data Provincial level and comparison over time

Dimensions: – Water: Deprived if drinking water is from an unprotected well, river, dam, lake, ponds, stream, canal or irrigation – Sanitation: Deprived if no toilet facility or use the bush or field – Information: Deprived if no radio or television – Electricity: Deprived if no electricity – Education: Deprived if any of the HH members have not completed primary education – Housing: Deprived if floor is made from earth, wooden planks, adobe, clay, palm or bamboo

M0 (MPI) – ranking Average domination (spatial FOD) – ranking

Temporal FOD Change in MPI

High correlation over time

Other metodologies exist Fuzzy

Conclusions Choices are important to drive the results Important that they are made explicit and discussed, and confronted with the relevant literature Relative importance of indicators/dimensions changes over time and across space – From country to country – Nampula rural/Maputo urban – 1997/2007 – Income groups

Conclusions Measuring multidimensional wellbeing is not substitute for consumption poverty estimates It complements the info available (more stable over time) Both estimates in the 4 th National Poverty Assessment using the IOF 2014/15

Thanks

Appendix Mapa