Advanced analysis of the HLY 2005 values Carol Jagger, University of Leicester, UK and the EHLEIS team.

Slides:



Advertisements
Similar presentations
Progress of Task Force on Health Expectancies (TF-HE) Joint meeting of the Networks of CA and WPL July Jean-Marie Robine Carol Jagger.
Advertisements

Conference on Indicators, February 2010 Hans Steiner Federal Ministry of Labour, Social Affairs and Consumer Protection Political Relevance of EU-Social.
AME Education Sector Profile
1 Monitoring progress towards the objectives of the European Strategy for Social Protection and Social Inclusion Bucharest, 17 November 2009 EUROPEAN.
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.
1 Promoting Adequate and Sustainable Pensions through the Open Method of Co-ordination ADEQUACY, FINANCIAL SUSTAINABILITY and MODERNISATION European Commission.
Public policy and European society University of Castellanza Session 3(a) Inequality in Europe and the USA March
Developing Social Indicators in the UK and EU Elaine Squires United Kingdom representative - Social Protection Committee’s Indicator Sub-group.
The European Health Expectancy Monitoring Unit (EHEMU) An overview Jean-Marie Robine 2005.
Georg Fischer European Commission The European Social Policy debate EUROPEAN COMMISSION DG Employment and Social Affairs.
OECD, Directorate for Employment, Labour and Social Affairs Social Policy in the OECD: what lessons for Chile? National Social Security Meeting, Santiago.
Public policy and European society University of Castellanza Session 3(a) Inequality and poverty in Europe and the USA November
International Labour Organization Policy Brief on Employment and Social Protection Indicators Christina Behrendt (Social Protection Sector) Mariàngels.
Life expectancy in the EU 25 Jean-Marie Robine, Sophie Le Roy and the EHEMU team Europe Blanche XXVI Budapest November 2005.
1 THE PENSION GAP AND POVERTY OF ELDERLY WOMEN July 2008.
How we measure development WHAT FACTORS MIGHT WE CONSIDER WHEN COMPARING THE DEVELOPMENT OF COUNTRIES?
Estimating social inequalities in Healthy Life Expectancy: Challenges and opportunities Brussels, February 10 th 2012 Policy context and aim of the seminar.
European Health Expectancy Monitoring Unit (EHEMU) an update REVES 2006 Amsterdam, May 2006.
THE ECONOMIC INDICATORS 1.  An economic indicator is simply any economic statistic, such as the unemployment rate, GDP or the inflation rate, which indicate.
EU Commission Public Seminar April 24th, Economic Aspects of Ageing in Europe Dr. Brenda Gannon Irish Centre for Social Gerontology NUI Galway.
12 th Global Conference on Ageing June 11-13, 2014 The Economic Support System for Senior Citizens in India: Restating the Obvious K S James Institute.
What’s new in the Child Poverty Unit – Research and Measurement Team Research and Measurement Team Child Poverty Unit.
Measuring Development
The distribution of the State budget Total budget: 298 billion NIS, 2005 chart 1.
© 2013 Pearson. How long does it take to find a job?
The Perfect Storm Community Service Council of Greater Tulsa - October 2007.
Midlife working conditions and health later life – comparative analyses. Morten Wahrendorf International Centre for Life Course Studies in Society and.
Brent Diversity Profile Labour Market Work patterns in Brent May 2015.
STATISTICSSTATISTIQUECANADA Aboriginal Labour Force Survey Province of Alberta.
1 ESF 2000 – 2006 EX POST EVALUATION International Evaluation & Methodology Conference 6-7 May 2010 Budapest Anna Galazka European Commission, DG Employment,
Facing the challenge of increasing women’s participation on the European labour market NEUJOBS WORKING PAPER NO. D16.2C Agnieszka Chłoń-Domińczak Agnieszka.
Situation of disabled persons living in the EU countries Wojciech Bąba European Economic Integration Chair Cracow University of Economics.
Poverty Ms. C. Rughoobur Africa Statistics Day 18 November 2013.
Ecdc.europa.eu Richard Deiss, DG EAC, unit for studies, analysis, indicators EU 2020 education benchmarks Visit of Estonian delegation in Brussels, 1 June.
Integrating a Gender Perspective into Statistics Selected topic: Poverty Statistics S. Nunhuck Statistics Mauritius.
1 Survey of Health, Ageing and Retirement in Europe Andrzej Ryś - Director Public Health European Commission DG SANCO 28 November 2008.
Europe 2020 Joint Assessment Framework draft proposal.
The Role of the Fiscal Policy in Poverty Reduction Youngsun Koh Korea Development Institute.
Module 6: Quantifying gaps and measuring coverage ILO, 2013.
Analysis of unemployment and monetary poverty in European countries Analýza nezamestnanosti a monetárnej chudoby v krajinách Európy Ing. Iveta Stankovičová,
GENDER INDICATORS International Conference on Reconciliation: “Tips to top reconciliation: work it out, home it in: por una conciliación compartida”
Trade Union Training on Youth Employment for Leaders of National Youth Committees in Asia and the Pacific Region Bangkok May 2004.
Educational standards and economic and social development Organisation for Economic Cooperation and Development (OECD) Lisbon Council Brussels, 14 September.
Inflation Report May Output and supply Chart 3.1 Measures of aggregate output (a) (a) Market sector output is a Bank estimate. It excludes output.
البيانات المتوفرة وغير المتوفرة للنوع الاجتماعى. GIsIn Economy, poverty and hungerComments Labour force participation rate (or economic activity rate)
Public policy and European society University of Castellanza Session 3(a) Inequality in Europe and the USA March
Boris MAJCEN Joint programming initiative More Years, Better Lives and Federal Ministry of Science, Research and Economy Conference „Demographic Change.
Time, Money and Inequality in International Perspective Lars Osberg -Dalhousie University -I.S.E.R. U of Essex.
Scottish Executive’s Futures Work Strategy Unit November 2006.
Changes in the context of evaluation and assessment: the impact of the European Lifelong Learning strategy Romuald Normand, Institute of Education Lyon,
1 Sweden Education at a Glance 2015 Thomas Weko Release date: 24 November 2015.
EU Countries with Flat tax system Lithuania24% Latvia25% Estonia22% Slovakia19% Bulgaria(from 1 January)10% Romania16%
1 Labour market changes: trends and prospects Stéphan Vincent-Lancrin Analyst OECD/CERI Centre for Educational Research and Innovation How might the changing.
Tax and Social Policy – Asia Pooja Rangaprasad, Financial Transparency Coalition 13 August 2015.
Single Outcome Agreements and Purpose Targets: measuring progress Euan Carmichael Office of the Chief Economic Adviser 20 th March 2009.
Progress of Task Force on Health Expectancies (TF-HE) Joint meeting of the Networks of CA and WPL Jan Carol Jagger Jean-Marie Robine.
1 Going for Growth Jean-Philippe Cotis OECD Chief Economist TÜSİAD-KOÇ UNIVERSITY ECONOMIC RESEARCH FORUM INTERNATIONAL CONFERENCE ON SUSTAINABLE GROWTH.
1 Black Sea Conference on Shared Growth and Regional Integration Highlights of the 2009 Joint Report on Social Protection and Social Inclusion Athens,
CEPS, 1 Place du Congrès, 1000 Brussels, , 1 The Key Role of Education in Employment and Competitiveness THE LISBON STRATEGY.
Hungarian National Strategy Report on Social Protection and Social inclusion Györgyi Vajda Social Inclusion Unit Ministry of Social Affairs and.
ACTIVE AGEING Definition: Giving opportunities to the millions of healthy older people to take an active part in society and use their experience to the.
Analysis of the Egyptian Labour Market with a Special Focus on MDG Employment Indicators Dr. Magued Osman.
ASPECTS OF THE GENDER INEQUALITY ISSUE IN KNOWLEDGE SOCIETY CAREERS IRIMIE SABINA MORARU ROLAND CIOCA LUCIAN BOATCA MARIA - ELENA UNIVERSITY OF PETROSANI.
Coordination of health care in the EU Jakub Wtorek European Commission Directorate General for Employment, Social Affairs and Inclusion Unit: Active Ageing,
Are the European pension systems adequate and sustainable? Jakub Wtorek European Commission Directorate General for Employment, Social Affairs and Inclusion.
KEY INDICATORS OF THE LABOUR MARKET - KILM
Main macroeconomic indicators for EU
Public policy and European society University of Castellanza
Europe 2020 Joint Assessment Framework
HELLENIC STATISTICAL AUTHORITY
Presentation transcript:

Advanced analysis of the HLY 2005 values Carol Jagger, University of Leicester, UK and the EHLEIS team

Lisbon Strategy In 2001 additional target set: – To increase the proportion of older people ( aged 55-64) in the workforce to 50% by 2010 In 2004 Healthy Life Years (HLY) added to the list of structural indicators “Increasing healthy life years will be a crucial factor in achieving this objective (of modernising social protection systems and strengthening pensions and healthcare).” (2005 Spring Council)

Healthy productive life in the EU Focus on Healthy Life Years at age 50 – Are countries with highest life expectancies the healthiest? – What is the variation in Healthy Life Years at age 50? – What factors explain differences among countries (wealth, health expenditure, employment, education)? – What is the potential for increasing the size of the older workforce?

Are countries with highest life expectancies the healthiest?

Life years and Healthy Life Years

What is the variation in Healthy Life Years at age 50?

Variation in Healthy Life Years

What factors explain differences among countries?

Methods Relevant macro-level factors, structural and sustainable indicators, for each country were obtained from the Europa Eurostat website: wealth and expenditure (GDP, poverty risk for aged 65+, inequality of income distribution, expenditure on elderly care), labour force participation (employment rate of older workers, long term unemployment rate, mean exit age from labour force), education (life-long learning, low education attainment), and were To investigate the relationships between HLY50 and country specific structural indicators meta-regression models were fitted each structural indicator was entered singly separate models for males and females Models for all the EU25 countries together, then EU15 and EU10 separately scatter plots of all relationships were assessed visually to ascertain if any relationships were the result of just one or two data points. –

Indicators: definition and quality IndicatorDefinitionQuality grade* Gross domestic product (GDP) GDP per capita in Purchasing Power Standards, (EU-25=100). A Expenditure on elderly care The share of social protection expenditure devoted to old age care (covering care allowance, accommodation, and assistance in carrying out daily tasks) as a percentage of GDP. Not available Poverty risk for 65+ yrs Persons aged 65 years and over with an equivalised disposable income below the risk-of-poverty threshold, which is set at 60% of the national median equivalised disposable income after social transfers, as a percentage of all aged 65 years and over. C Inequality of income distribution The ratio of total income received by the 20% of the population with the highest income (top quintile) to that received by the 20% of the population with the lowest income (lowest quintile). C Employment rate of older workers Employed persons aged years as a percentage of the total population of the same age group. A Long term unemployment rate Long-term unemployed (12 months and more) as a percentage of the total active population. A Mean exit age from the labour force Mean exit age from the labour force weighted by the probability of withdrawal from the labour market. Not available Life-long learning Percentage of the adult population aged years participating in education and training over the four weeks prior to the survey. Not available Low education attainment Percentage of the population aged years having completed at most lower secondary education (International Standard Classification of Education level of 2 or less). Not available

What factors explain difference? EU25EU15EU10 Macro indicatorMFMFMF GDP per capita ++ Expenditure on elderly care ++++ Poverty risk for >65yrs (%) Inequality of income distribution Employment rate of older workers - Long term unemployment rate - Mean exit age from labour force + Life-long learning (%) + Low education attainment (%) +++

Health expenditure and HLY50

Low education attainment and HLY50

What is the potential to increase the size of the older workforce?

Key messages Women live on average 6 years longer than men but most of the extra years are with moderate or severe activity limitations. At age 50 the expected HLY are 17.6 for men and 19.1 for women on average in the EU25 Gaps between Member States reach 14.5 years for men and 13.7 years for women, underlying that the labour force participation of older workers cannot be expected to be uniform throughout all MS.

Full paper Inequalities in healthy life years in the 25 countries of the European Union in 2005: a cross-national meta-regression analysis Carol Jagger, Clare Gillies, Francesco Moscone, Emmanuelle Cambois, Herman Van Oyen, Wilma Nusselder, Jean-Marie Robine, and the EHLEIS team Lancet, published online November 17, 2008 DOI: /S (08)

Advanced analysis of the HLY 2005 values Carol Jagger, University of Leicester, UK and the EHLEIS team