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DESIGUALDAD DE INGRESOS, MOVILIDAD SOCIAL
Y TENDENCIAS DE LA CLASE MEDIA EN CHILE Y EN LA OCDE
INEQUALITY, SOCIAL MOBILITY AND MIDDLE CLASS TRENDS
IN CHILE AND OECD COUNTRIESSANTIAGO, 26 DE ENERO 2018
MINISTERIO DE DESARROLLO SOCIAL DE CHILE
Michael Förster – Céline Thévenot
OECD/COPE
http://oe.cd/cope 2
Inequality – in the heart of international policy discourse and policy debate
2008 2011 2015
• “Inequality can no longer be treated as an afterthought. We need to focus the debate on how the benefits of growth are distributed” (A. Gurría, OECD)
• “This is the first time that the World Bank Group has set a target for income inequality” (Jim Yong Kim, World Bank)
• “Reducing excessive inequality is not just morally and politically correct, but it is good economics” (C. Lagarde, IMF)
OECD/COPE
http://oe.cd/cope 3
Large differences in levels of income inequality across OECD countries
Source: OECD Income Distribution Database (www.oecd.org/social/income-distribution-database.htm), as at 1-September-2017Note: the Gini coefficient ranges from 0 (perfect equality) to 1 (perfect inequality). Income refers to cash disposable income adjusted for household size. Data refer to 2016 or latest year available.
0.20
0.25
0.30
0.35
0.40
0.45 Gini coefficient of income inequality
OECD/COPE
http://oe.cd/cope 4
Rather than continuous long-term trends, “episodes” of inequality changes
Long-term trends in inequality of disposable income (Gini coefficient)
Source: OECD Income Distribution Database, www.oecd.org/social/income-distribution-database.htm.Note: Income refers to disposable income adjusted for household size. New income definition from 2011. Trend data have been chain-linked.
OECD/COPE
http://oe.cd/cope 5
Chile ranks among the lowest in the OECD in terms of indicators of gender equality:
• Employment and pay gaps between men and women
• Women in management positions
• Share of women on boards of directors
Gender inequality remains a serious issue
0
5
10
15
20
25
30
35
40
45Gender pay gap
(%)
2015 2010
Gender pay gap in 2010 and 2015
Source: OECD Employment Database for OECD countries, Colombia and Costa Rica (NENE for Chile); and OECD Secretariat calculations based on the EncuestaPermanente de Hogares (EPH) for Argentina, the Pesquisa Nacional por Amostra de Domicílio (PNAD) for Brazil.
OECD/COPE
http://oe.cd/cope 6
The consequences of high inequality: why do we care?
Social concerns
Political concerns
Ethical concerns
Economic concerns
OECD/COPE
http://oe.cd/cope 7
1. Higher income inequality lowers subsequent economic growth in the long-term
Increasing income inequality by 1 Gini point lowers the growth rate of GDP per capita by ~0.12 %-points per year
2. This is driven by disparities at the lower end of the distribution, incl. lower middle classes, not just the poor
3. Redistribution through taxes and transfers does notnecessarily lead to bad growth outcomes
4. Prominent mechanism: high inequality hinders skills investment by the lower middle class and harms education outcomes, in terms of quantity and quality
(How) does inequality affect growth: main findings from the recent OECD study
OECD/COPE
http://oe.cd/cope 8Note: Low PEB: neither parent has attained upper secondary education; Medium PEB: at least one parent has attained secondary and post-secondary, non-tertiary education; High PEB: at least one parent has attained tertiary education. The bars indicate 95% confidence intervals.
Average years of schoolingby parental educational background (PEB) and
inequality
11
12
13
14
20 25 30 35
Year
s o
f sc
ho
olin
g
Inequality (Gini coefficient)
Low PEB Medium PEB High PEB
Increasing inequality by ~5-6 Gini pts. (the current differential between Chile and the US) is associated with less average schooling of low PEB individuals by ~half a year
Source: OECD (2015), “In It Together”
Higher inequality hinders skills investment by the lower middle class and lowers social mobility
Average numeracy scoreby parental educational background (PEB) and
inequality
240
250
260
270
280
290
300
20 25 30 35
Nu
mer
acy
Sco
re
Inequality (Gini coefficient)
Low PEB Medium PEB High PEB
OECD/COPE
http://oe.cd/cope 9
The main drivers of rising inequalities
Off-setting factors• Increase in education
• Female labour market participation
Direct drivers
• Changes in employment patterns and working conditions
• Weaker redistribution via the tax/benefit system
Lesser culprit
• Changing demography and family structures
Institutional effects• Changes in product and labour
market regulations and institutions
Indirect effects• Skill-biased technological
change
• Globalisation (trade, FDI)
OECD/COPE
http://oe.cd/cope 10
1a. Increasing non-standard work contributed to job polarisation and higher inequality
Percentage change in employment shares of task categories,
1995/98-2013
Source: OECD (2015), “In It Together”, http://www.oecd.org/social/in-it-together-why-less-inequality-benefits-all-9789264235120-en.htm Note: Abstract occupations (ISCO88: 12-34); Routine (ISCO88: 41-42, 52, 71-74, 81-82 and 93); Non-routine manual (ISCO88: 51 83 and 91). The overall sample restricted to workers aged 15-64, excluding employers as well as students working part-time.
• Today, one third of jobs are “non-standard”, and 43% of working households include a non-standard worker
• More than half of all jobs created since 1995 were non-standard jobs
OECD/COPE
http://oe.cd/cope 11
1.b Measures of job quality suggest that non-standard workers are worse off
• hourly wages are lower (-30% for temporary workers);
• job insecurity (probability to lose ones job) is higher;
• they provide less training;
• and report a higher level of job strain.
• they do not necessarily improve labour market prospects, e.g. by a higher probability to move to a more stable job
• “stepping-stone” effects do exist, but mostly for prime-age and older workers
OECD/COPE
http://oe.cd/cope 12
1.c Informal work matters, in low-income, but also many middle-income countries
• The level of informality in Chile, although lower for Latin American standards, is high compared to other OECD countries.
• Particular measure: the share of people not contributing to social security
0
10
20
30
40
50
60
70
80
90
IDN(b) IND MEX COL TUR ZAF ARG CRI BRA UrbanCHN(a)
CHL RUS
2011-12 2007-08
%
Incidence of informality in selected low- and middle-income countries
Note: Informality is defined to include: i) employees who do not pay social contribution, except for Colombia where contract status is used; and ii) self-employed who do not pay social contributions (Brazil, Chile, China, India, Indonesia, Turkey) or whose business is not registered ( Argentina, Colombia, Costa Rica, Mexico, South Africa).. a) The figures for China are for 2008 and 2009. b) All figures for Indonesia are for 2007.Source: OECD calculations based on national household and labour force surveys (EPH: Argentina, PNAD: Brazil, CASEN: Chile, UHS: China, GEIH: Colombia, ENHAO: Costa Rica, NSS: India, SAKERNAS: Indonesia, ENIGH: Mexico, NIDS: South Africa), the EU-SILC national files (Turkey) and the European Social Survey (Russia).. See OECD Employment Outlook 2015, Chapter 5.
OECD/COPE
http://oe.cd/cope 13
2a. Redistribution through income taxes and cash benefits plays an important role in OECD countries
Gini coefficient of disposable and market income: impact of taxes and transfers,working-age population, 2015
Source: OECD Income Distribution Database, www.oecd.org/social/income-distribution-database.htm,
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.50
Portugal UK Chile OECD
Inequality beforetransfers and taxes (market income)
Inequality aftertransfers and beforetaxes (gross income)
Inequality aftertransfers and taxes (disposableincome)
- 25%
-30%-23%
-5%
OECD/COPE
http://oe.cd/cope 14
2.b…, but redistribution became weaker in most OECD countries until the onset of the crisis
Source: OECD Income Distribution Database, www.oecd.org/social/income-distribution-database.htm,
Trends in market income inequality reduction, working-age population
OECD/COPE
http://oe.cd/cope 15
2.c Better targeting is not a panacea …, but it is a design issue in some countries
Source: OECD Income Distribution Database, www.oecd.org/social/income-distribution-database.htm,
Share of social benefits going to the bottom and top 20% of the working-age population
OECD/COPE
http://oe.cd/cope 16
2.d However, very different distributive patterns of pensions versus other cash benefits
0
10
20
30
40
50
60
I II III IV V
TRRSS Monetary subsidies* Pensions**
Source: Ministry of Social Development, Social Observatory, based on Casen 2015.• TRRSS includes monetary subsidies plus old system pensions, Dipreca and Capredena pensions.• ** Old system pensions, Dipreca and Capredena Pensions
Distribution of Cash Transfers by quintile of disposable income, 2015
Working-age population
OECD/COPE
http://oe.cd/cope 17
2.e Trends in the size of the fiscal sector2000-2015, per cent of GDP
Source: National Accounts at a Glance, OECD Revenue Statistics : Comparative tables
2000 2016
2000 2016 2000 2016
“Under Pressure” :
A squeezed Middle Class ?
OECD/COPE
http://oe.cd/cope 19
Middle class self-identification changed greatly in some OECD countries
Percentage of population reporting belonging to the middle class, 2000 -2017
Source: Latinobarometro for Chile, EKOS for Canada, Gallup for the United States. German General Social Survey (ALLBUS) for Germany, World Values Survey for Australia and Japan.
20
30
40
50
60
70
80
2000 2005 2010 2015
United States Canada Germany Chile Japan
OECD/COPE
http://oe.cd/cope 20
Most people self-identify with the middle class and live in middle-income households
Share of population in middle-income group (y-axis) and those who self-identify as “middle class” (x-axis), most recent year
Source: Eurobarometer 2014 for European countries, World Value Survey for Australia (2012), Brazil (2014), India (2011), Korea (2010), Mexico (2012),and Switzerland(2007),, EKOS for Canada (2017), Latinobarometro for Chile (2015) and Gallup for the United States (2017). Note: middle income group: those between 75% and 200% of median income
Middle income group
OECD/COPE
http://oe.cd/cope 22
The “global elephant” and the Chilean “hockey stick”
Source: Panel A. Lakner, C., and Milanovic, B. (2015) and OECD Income Distribution Database. Panel B. Pew Research Center (2015)
Annual growth incidence curve
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 99100
World (1988-2008, 2011 PPP) average
Chile (1996-2011, 2011 PPP) average
OECD/COPE
http://oe.cd/cope 23
Housing prices have increased faster than middle incomes
Average evolution of real incomes and housing prices in OECD countries, 1980-2013 (1980 = 100)
Average evolution of real incomes and housing prices in Chile, 2006-2015 (2006 = 100)
Source: Data from OECD.stat, real median income and real house price.
100
150
200
250
1980-1984 1985-1989 1990-1994 1995-1999 2000-2004 2005-2007 2008-2010 2011-2013
Real median household Income Real mean housing prices
100
120
140
160
180
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Real median household Income Real mean housing prices
OECD/COPE
http://oe.cd/cope 24
• Governments in OECD countries are increasingly concerned with policies that provide a better deal for the middle class
• OECD middle class experienced less growth than the “global middle class” and the “global elite”
• Middle income households are older and have fewer children today than in the past
• Middle-skill jobs decline has been compounded by the spread of non-standard work and fears of job automation
• Middle-income families are struggling to maintain their standards of living and make ends meet
Some key findings from the ongoing OECD project
ADRESSING SOCIAL MOBILITY
OECD/COPE
http://oe.cd/cope 26
What is mobility?
Intra-generational Inter-generational
OECD/COPE
http://oe.cd/cope 27
More and more people believe that social mobility has declined over time
Source: OECD Secretariat estimates based on ISSP 1987 to 2009 and Eurobarimeter 2011 and 2014
3135 38
30 2925
0
10
20
30
40
50
60
70
80
90
100
1987 1992 2009
"How important is having well-educated parents to get ahead?"
Not important
Important
20 17
3438
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2011 2014
Household Financial Situation
Changes in 5 past years: household financial situation
Got worse
Stayed about thesame
Improved
OECD/COPE
http://oe.cd/cope 28
OECD report on Social Mobility the bottom lines
There is no sign of greater income and social mobility today than two decades ago.
There is no trade-off between inequality and mobility –unequal societies are often less mobile.
Policies should aim at ensuring fair and equal opportunities for all. Social mobility is about incomes, but also about the transmission of health, education and social class over generations
A lack of social mobility – or its perception - can have social, political and economicconsequences.
Prospects of upward mobility matter for people’s well-being, in particular life satisfaction, their trust in societies and future prospects.
Societies lack of mobility because there is more rigidity at the bottom and especially at the top.
OECD/COPE
http://oe.cd/cope 29
0.150
0.200
0.250
0.300
0.350
0.400
0.450
0.500Gini coefficient
Cross-sectionnal inequality of annual incomes (average) (↗) Inequality of 4-year averaged incomes
Greater inequality is not associated withlarger mobility
Average income inequality and inequality of averaged incomes (4 years)
Data refer to the working-age population (18-65). Data refer to 2011-2014 for all countries except Switzerland (2009-2012), Japan, Germany, the United Kingdom and Ireland (2010-2013) Turkey (2008-2011) and Chile
(2006-2009). For the United States, as data is collected on a biannual basis, the result is based on the average between results for a 3 year- and a 5 year-panels. Source: Cross-National Equivalent File (CNEF), Ohio State
University, European Survey on incomes and living conditions (EU-SILC), Eurostat, National Statistics on Incomes and Living conditions (SRCV) for France, Income and Living Conditions Survey , Panel Casen
Survey, Chan et al. (2017) for China. OECD Secretariat calculation.
OECD/COPE
http://oe.cd/cope 30
Relative income changes at the bottom and the top of the distribution
Sticky floors at the bottom
Glass floors at the top
Sources : EU-SILC, CNEF, SRCV, KHPS, CASEN, NIDS
OECD/COPE
http://oe.cd/cope 31
Possible drivers of low-income persistence
Unemployment rate Temporary employment Early school leaving
Sources: National Labour Force surveys, Cross-National Equivalent File (CNEF), Ohio State University, European Survey on incomes and living conditions
(EU-SILC), Eurostat, National Statistics on Incomes and Living conditions (SRCV) for France, Income and Living Conditions Survey , Panel Casen
Survey. OECD Secretariat calculation. See Annex 2.1 for details on the data sources.
OECD/COPE
http://oe.cd/cope 32
Drivers of income mobility
• Labour market and household events
• Asymetry in the magnitude of the impact of labour market events
– positive labour market events have a direct impact on income
• the quality of job matter
– negative shocks - cushioned by safety nets
• Divorce and child birth can have a negative impact
0%
10%
20%
30%
40%
50%
60%
70%
Lose/quit a job Stay employed
Large income losses when losing a job
0%
10%
20%
30%
40%
50%
60%
70%
Sweden UnitedKingdom
France Spain Italy OECD average
Divorce No divorce
Large income losses when getting divorced
Sources: EU-SILC and CNEF
OECD/COPE
http://oe.cd/cope 33
Income dynamics and mobility over the life course : Key findings
• The rank order of countries with regard to inequality remains even when incomes are considered over a longer time period
• There is less mobility today than in the 1990s
• There are sticky floors at the bottom and glass floors at the top.
• Positional income mobility in emerging economies is not higher than in a typical OECD country – but there is more of a sticky floor
• Individual income trajectories are heterogeneous. There is a lot of unpredictability for incomes at the bottom of the distribution.
OECD/COPE
http://oe.cd/cope 34
Intra-generational Inter-generational
What is mobility?
OECD/COPE
http://oe.cd/cope 35
0
10
20
30
40
50
60
70
80
55-64 year-olds (↘) 25-34 year-olds
Considerable amount of upward mobility in education, though declining
Source: OECD PIAAC 2012 and 2015.
Percentage of people (non-students) whose educational attainment is higher than that of their parents (upward mobility)
OECD/COPE
http://oe.cd/cope 36
There are sticky floors in education in somecountries
Likelihood of educational attainment if neither parents have upper secondary schooling
Source: OECD calculations from PIAAC, 2012 and 2015; NIDS for South, IFLS for Indonesia and LS for China
OECD/COPE
http://oe.cd/cope 37
Parental health is associated with offspring health in all countries but only moderately
Relation between parental and children’s self-assessed health Explain beta coefficien
Relation between parental and children’s self-assessed health
OECD/COPE
http://oe.cd/cope 38
Intergenerational persistence in earnings isstrong in the OECD
Source: OECD calculations based on the GSOEP for Germany, the PSID for the US. Based on the ECHP and EUSILC 2011 module using the two-sample two-stage least squares estimator for Austria, Belgium, Ireland, Luxembourg, the Netherlands, Portugal, Spain, Greece, Italy, and the UK, based on the MHP and the EU-SILC 2011 module for Hungary, on CASEN for Chile. For other countries, estimates from Mendolia & Siminski (2015) for Australia, Chen et al. (2016) for Canada, Bratberg et al. (2007) for Denmark and Finland, Lefranc (2011) for France, Kim (2013) for Korea, Lefranc et al. (2012) for Japan, Jantti et al. (2006) for Norway and Sweden, Gibbons (2010) for New Zealand, Bauer (2006) for Switzerland, Mercan (2016) for Turkey, Chyi et al. (2014) for China, Ramirez-Zuloaga (2016) for Colombia, Hnatkovska et al. (2012) for India, Piraino (2014) for South Africa, Guimaraes Ferreira and Veloso (2006) for Brazil. All estimates except for Canada, Denmark, Finland, Norway and Sweden are based on two-sample two-stage least squares estimator.
Earnings elasticities between fathers’ and sons’, OECD and key partner countries
OECD/COPE
http://oe.cd/cope 39
Higher inequality may fuel lower social mobility
Source: OECD 2017, forthcoming). Note: Data refer to mid to late-2000s up to 2012. Intergenerational earnings mobility is proxied by the degree to which sons’ earnings are correlated with that of their fathers.
Far from perfect social mobilityChildren’ earnings depends on
parents’ earnings
Mobility negatively correlated
with income inequalityBut the association is weak, esp.
across European countries
DNKNOR
FINCAN
SWENLD
GBR
TUR
NZL
AUSJPNDEU
KOR
ESP
USA
CHE
PRT
FRA
GRC
IRLITA
COL
IND
AUT
BRA CHL
LUX
CHN
0.20
0.25
0.30
0.35
0.40
0.45
0.50
0.55
0.60
0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90
Gin
i co
effi
cien
t
Intergenerational earnings mobility
Income inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequalityIncome inequality BEL
HUN
OECD/COPE
http://oe.cd/cope 40
Income inequality reflects inequality of opportunity
OECD Economic Surveys: Chile 2015 - © OECD 2015 based on CASEN 2013
Intergenerational elasticity between father and son earnings across regions in Chile
Tarapacá
Antofagasta
Atacama
CoquimboValparaiso
Maule
O'Higgins Bio-Bio AraucanaLos Lagos
Aysén
Magallanes
MetropolitanaLos Rios
Arica y Parinacota
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.4 0.45 0.5 0.55 0.6
intergenerational earnings mobility
Gini after taxes and transfers
OECD/COPE
http://oe.cd/cope 41
Bringing the different dimensions of intergenerational mobility together
• Some countries / country groups fare better with regard to social mobility in all dimensions while the ranking of others depends on the particular dimension
Dimension of relative mobility Earnings Occupation Education Health
Nordics high high high high
LACs/EEs low - low -
Central European low low to avg low varies
Southern European high (exc. IT) low low avg
France low low to avg avg avg
USA avg high high low
Korea, Australia avg low high varies
Canada high to avg. high high high
UK avg high low average
OECD/COPE
http://oe.cd/cope 42
Key findings
• Absolute educational mobility has declined for the most recent generation
• High chances of upward mobility for those with lower educated parents, but with only limited chances of achieving tertiary education
• Parental health is associated with offspring health but only moderately
• Earnings mobility from one generation to the next is low in Chile and Central Continental European countries, and highest in the Nordic countries. It is very low in the Emerging Economies.
• There is high persistence in the top of the earnings distribution with 40% or more of the sons of rich fathers remaining in the top quantile.
Policy conclusions
OECD/COPE
http://oe.cd/cope 44
• Reform social protection (cash and in-kind) to adapt to changing labour markets
• Review taxation, e.g. forms of wealth taxes such as inheritance taxes
• Consider tax credits for low-income households
Current challenges for Chile
• Strengthen social spending
• Broadening the tax base for PIT
• Take income volatility into account (esp. at the bottom)
Examples
The United States Earned Income Tax Credit (EITC) has been credited with reductions in poverty and is also related to better health of children in recipient families through three channels: family income, maternal employment, and health insurance coverage.
Finland and other countries started reflexions and public debate abnout feasibility and effectiveness of a universal basic income.
Improving equality of opportunity through taxation and social protection
OECD/COPE
http://oe.cd/cope 45
• Invest in (affordable) early high-quality education and care and support to parenting skills
• Promote equal opportunities at school by supporting disadvantaged schools
• Encourage more equal access to higher education, especially to top schools
Challenges for Chile
• Develop high-quality childcare services
• Improve inclusiveness of education and maintain efforts to improve the performance of students
Examples:
• Support of mobility of school teachers and principals across school in Japanand Korea
• Specially-trained teachers to support struggling students in Finland
• Equal or greater educational resources in Canada provided to immigrant students.
Improving equity in education
OECD/COPE
http://oe.cd/cope 46
• Removing obstacles that limit women’s paid work and participation in the labour market
• Promote work-life balance, including smart workplace flexibility measures both for fathers and mothers
• Ensure equal pay
Current challenges for Chile
Fight discrimination, for example by empowering well-resourced specialized bodies to investigate compliance with regulations
Develop high-quality childcare services
Promote women in leadership positions in parliament and private companies
Examples• Campaign “Equilibrium Man Challenge” in Australia : web campaign about the work life
balance of men who took up flexible work arrangement for care reasons. • Australia and Chile started to include disclosure requirements in their corporate
governance codes and regulations compelling corporations to reveal the gender balance on their boards.
• In Austria, pay transparency rules have been implemented in 2011 and evaluated in 2015. Companies are required to report pay and indicate the minimum wage in job vacancies at the time of hiring.
Closing the gender gap
OECD/COPE
http://oe.cd/cope 47
• Strenghten active labour market policies to support returns to employment
• Ensure access to lifelong learning for the low-skilled
• Find the right balance between labour market flexibility and career mobility
Current challenges for Chile
Reduce informality
Strenghten and streamline collective bargaining
Improve workers training and lifelong learning system
Increase spending in ALMPs
Examples• Single standard contract applying only to new employment contracts, with employment
protection increasing with tenure (Italy)• Work experience phase, Australia: measures to help long term unemployed based on
skills acquisition and work experience• Intensive and specific case management and interventions, such as the individualised
action plans and employment service centres in Japan.• France introduced a compte personnel d’activité in 2017 (Individual training account)
which regroups the individual learning account, and gives entitlements for training.
Improving job quality and career mobility
OECD/COPE
http://oe.cd/cope 48
¡ Muchas gracias!
New release on February26th, by the SecretaryGeneral in Santiago