Income, Deprivation and Poverty: a longitudinal analysis Richard Berthoud and Mark Bryan Institute for Social and Economic Research University of Essex.

Slides:



Advertisements
Similar presentations
The Dynamics of Deprivation Richard Berthoud and Mark Bryan ESDS Conference on Social Inequality June 2005 Department for Work and Pensions Families and.
Advertisements

Trends in the employment of disabled people in Britain Richard Berthoud Institute for Social and Economic Research University of Essex General Lifestyle.
Unemployment, Well-Being and Institutions. The Intricacies of using the standard unemployment rate (UR) as an Indicator for contemporaneous Labour Markets.
Attitudes to inequality: a cohort perspective Márton Medgyesi, TÁRKI, Social Research Institute GINI Project, Year 1 Conference 4-5 February, 2011, University.
Nonresponse bias in studies of residential mobility Elizabeth Washbrook, Paul Clarke and Fiona Steele University of Bristol Research Methods Festival,
Poverty and social exclusion of the elderly AIM Work Package 8 Cok Vrooman WP 8.1: Social exclusion of the elderly; a comparative study of EU Member States,
1 The distribution of the State budget – 2008: social services are one-third of the total budget Total budget: NIS 323 billion Not including debt servicing.
OPHI Oxford Poverty & Human Development Initiative Department of International Development Queen Elizabeth House, University of Oxford
Medicare Prescription Drug Coverage: Who Knew? (who sought and who intended) Presented at Academy Health Seattle WA June 25, 2006 Christopher Koepke, PhD.
Vision: to create a world in which older people flourish About Age NI Mission: to improve and enhance the lives of older people.
Persistence of Social Exclusion Among Older People in Australia Riyana Miranti* and Peng Yu** * National Centre for Social and Economic Modelling (NATSEM),
Risk of Low Birth Weight Associated with Family Poverty in Korea Bong Joo Lee Se Hee Lim Department of Social Welfare, Seoul National University. A Paper.
Population Response to Employment Growth in the Gulf Coast Region: Assessing the Oil and Gas Related Employment on Population Change Troy C. Blanchard.
HOW TO MEASURE EXTREME POVERTY IN THE EU SECONDARY ANALYSIS 22 September 2009.
1 WELL-BEING AND ADJUSTMENT OF SPONSORED AGING IMMIGRANTS Shireen Surood, PhD Supervisor, Research & Evaluation Information & Evaluation Services Addiction.
RESEARCH METHODS Lecture 19
Part 4: Partial Regression and Correlation 4-1/24 Econometrics I Professor William Greene Stern School of Business Department of Economics.
MAXIMISING POTENTIAL IN THE WORKPLACE A lunchtime seminar series about employment relations & the world of work London, 31 March 2005
Issues in the treatment of housing costs in poverty measures Mark Stephens, Chris Leishman, Kirsten Besemer.
Public symposium Is Japan an Equal Society? Policies against poverty and social exclusion Keio University Tokyo 7 January 2012.
Poverty in the UK. Lesson Objectives I will get the opportunity to develop my understanding of the difference between two measures of poverty: absolute.
Health inequalities in later life: material or psychosocial pathways Anne McMunn & James Nazroo UCL
The distribution of the State budget Total budget: 298 billion NIS, 2005 chart 1.
Introduction to EU-SILC
MEASURING INCOME AND POVERTY AT A NATIONAL LEVEL Sian Rasdale Social Justice Analysis, Scottish Government.
Linking lives through time Living alone and mental health: a longitudinal study Zhiqiang Feng, Peteke Feijten, Paul Boyle Longitudinal Studies.
Measurement and analysis of household welfare: possible approaches using GGS data L. Ovcharova, A. Pishniak, D. Popova Independent Institute.
Does Inequality Matter in China? Lina Song University of Nottingham.
EE325 Introductory Econometrics1 Welcome to EE325 Introductory Econometrics Introduction Why study Econometrics? What is Econometrics? Methodology of Econometrics.
Purpose of Health Inequity Report
Inter-Generational Transfer of Household Poverty in KwaZulu Natal: Evidence from KIDS (1993 – 2004) Antonie Pool University of the Free State TIPS Conference,
Denbighshire’s Anti-poverty Statement and action plan 2009 to 2012 National Association of Welfare Rights Advisers Workshop 5/03/2010 Poverty Estimates.
Living arrangements, health and well-being: A European Perspective UPTAP Meeting 21 st March 2007 Harriet Young and Emily Grundy London School of Hygiene.
Accessible Transport & Social Inclusion National Transport Strategy Conference 30 May 2006 Dunblane.
Poverty The United States is one of the richest nations in the world. Yet not all share equally in this prosperity.
Demographic Trends: Carl Onubogu. Average household income Percentage of population over 25 with less than high school education Percentage.
Economics and Statistics Administration U.S. CENSUS BUREAU U.S. Department of Commerce Assessing the “Year of Naturalization” Data in the American Community.
Using the ESEC to describe health inequalities in Europe Anton Kunst Department of Public Health
Eurostat Introduction to EU-SILC. Eurostat AGENDA 1.Scope of the instrument 2.Organization of the data 3.Main statistical concepts 4.Information sources.
Changing Economic Vulnerability of Thai elderly in 2002 & 2007 (Target Journal: IPSR Journal) ANLAYA SMUSENEETO.
Early Motherhood in the UK: Micro and Macro Determinants Denise Hawkes and Heather Joshi Centre for Longitudinal Research Institute of Education University.
The Internet and Politics Agenda for Today Review and discuss article by Bonchek how the Net affects interest groups how to identify the causal argument.
Social Issues in the UK Health and Wealth Inequalities
City of Lakewood Department of Human Services Division of Aging: Senior Supportive Services Problem Identification Resource Navigation Ongoing Support.
Living arrangements, health and well-being: A European Perspective UPTAP-ONS Meeting Southampton University 19 th December 2007 Harriet Young and Emily.
Poverty and Income Inequality in Edinburgh September 2015.
How do you use observed data to predict unobserved data? Hours watching TV Test score.
Mismatches and matches in address information from the Census and the BSO: A longitudinal perspective Ian Shuttleworth and Brian Foley, Queen’s.
Exploring Your Region’s Economic & Demographic Foundation Exploring Your Region’s Economic & Demographic Foundation Module Two.
Linear Models Binary Logistic Regression. One-Way IVR 2 Hawaiian Bats Examine data.frame on HO Section 1.1 Questions –Is subspecies related to canine.
Nick Bailey University of Glasgow Employment, poverty and social exclusion.
Eurostat experience on the harmonisation of data at European level Ian DENNIS Eurostat unit F3 European Seminar, 18 th January 2007.
“Neighborhood Social Planning and Development” NEBSOC WORK PACKAGES (DATA COLLECTION STRATEGY) & 3.2 (DEEPENING AND IDENTIFICATION OF THE SOCIAL.
DISCRIMINANT ANALYSIS. Discriminant Analysis  Discriminant analysis builds a predictive model for group membership. The model is composed of a discriminant.
Exploring the potential of the ESEC for describing class differences in health in European populations Anton Kunst on behalf of the Dutch team January.
Social disparities in private renting amongst young families in England and Wales, Rory Coulter Housing, Wealth and Welfare.
MINIMUM INCOME AND INCLUSION POLICY Challenges of a precarious inclusion model Brussels 6 April 2016.
Effect of Concurrent, Lagged, and Cumulative Exposure to Poverty on Children’s Health from 5- through 41 Months Béatrice Nikiéma, Lise Gauvin, Louise Séguin.
Trends in attitudes toward income equalization across European countries. Do changing economic conditions matter? Renzo Carriero and Marianna Filandri.
Attitude: Does a little thing make a big difference? An analysis of the Westpac-Melbourne Institute consumer sentiment index and its component indices.
Chapter 8 Part I Answers The explanatory variable (x) is initial drop, measured in feet, and the response variable (y) is duration, measured in seconds.
EU indicators on social inclusion and social protection and the EU 2020 poverty and social exclusion target – state of play Kornelia Kozovska Secretariat.
Public policy and European society University of Castellanza
Conducting of EU - SILC in the Republic of Macedonia, 2010
Regional poverty statistics – state of play
Immediate activity No discussion, no notes, no books
Analysis of Economic Situation
Multiple Linear Regression
Autoregressive and Growth Curve Models
Presentation transcript:

Income, Deprivation and Poverty: a longitudinal analysis Richard Berthoud and Mark Bryan Institute for Social and Economic Research University of Essex

The poor shall be taken to mean persons.... whose resources.... are so limited as to exclude them from the minimum way of life of member states in which they live. (European Union 1984) Agreed processLack of resources  Exclusion from minimum way of life Interpretation 1“Poverty”Outcome of poverty Interpretation 2Cause of poverty“Poverty” How do you measure poverty?

The poor shall be taken to mean persons.... whose resources.... are so limited as to exclude them from the minimum way of life of member states in which they live. (European Union 1984) Agreed processLack of resources  Exclusion from minimum way of life Interpretation 1“Poverty”Outcome of poverty Interpretation 2Cause of poverty“Poverty” How do you measure poverty?

BHPS data Nine waves: Household level variables: deprivation scores, net income, household structure etc Follow individuals over time Below pension age 6,590 individuals from 2,279 original households, 50,159 person wave observations

Components of the deprivation index Daily living (don’t have/can’t afford) Financial strainDurables (don’t have) HolidayNo savingCar FurnitureHousing paymentsColour TV ClothesDifficulty managingVideo MeatWashing machine VisitorsDishwasher Microwave Computer Hi fi Cable/satellite Telephone Cronbach’s α = 0.75

Deprivation score plotted by income

Trends in daily living deprivation score :

Summary of a pooled cross-sectional regression equation predicting deprivation scores Group of covariates Variance explained Log of income 14.1% Age 0.8% Family composition 4.5% Health 2.0% Education 0.8% Income sources 7.2% Housing tenure 6.8% Region 1.0% Overall 37.5%

Cross-sectional and longitudinal relationships between log income and deprivation Coefficientt-ratioVariance explained Cross-section % Between effects % Within effectsCurrent % Lagged

Cross-sectional and longitudinal relationships between log income and deprivation Coefficientt-ratioVariance explained Cross-section % Between effects % Within effectsCurrent % Lagged

Cross-sectional and longitudinal relationships between log income and deprivation Coefficientt-ratioVariance explained Cross-section % Between effects % Within effectsCurrent Lagged %

Conclusions Two measurement issues –Very low incomes –Deprivation over time The dynamics of deprivation –Longitudinal relationship much weaker –Focus on longer term incomes Poverty is less common, but more serious and more intransigent than one-off measures record

Further information R. Berthoud, M. Bryan and E. Bardasi, The Dynamics of Deprivation, DWP Research Report 219, Department for Work and Pensions, 2004 Shorter article on request from