THE PURSUIT OF GENDER EQUALITY : AN UPHILL BATTLE

Similar documents
OECD ECONOMIC SURVEY OF LITHUANIA 2018 Promoting inclusive growth

Supplementary figures

FOREWORD, EXECUTIVE SUMMARY AND CHAPTER 1

DANMARKS NATIONALBANK

Off to a Good Start? Youth Labour Market Transitions in OECD Countries

What Are the Social Outcomes of Education?

Which policies for improved access to employment? Main findings of the OECD project JOBS for YOUTH

Russian Federation. OECD average. Portugal. United States. Estonia. New Zealand. Slovak Republic. Latvia. Poland

Education and Wage Inequality in Europe. Fifth EU Framework Programme for Research. Centre des Conferences Brussels. Final Meeting 22 nd Sept 2005.

Reform agenda for 2017: Overview and country notes

Labor Market Laws and Intra-European Migration

Francis Green and Golo Henseke

Globalization, Technology and the Decline in Labor Share of Income. Mitali Das Strategy, Policy and Research Department. IMF

TRANSITION FROM SCHOOL TO WORK: WHERE ARE THE YEAR-OLDS?

Inventory of OECD Integrity and Anti-Corruption Related Data

2019 OECD ECONOMIC SURVEY OF THE SLOVAK REPUBLIC

How does education affect the economy?

Economic Policy Reforms: Going for Growth 2018

OECD Affordable Housing Database OECD - Social Policy Division - Directorate of Employment, Labour and Social Affairs

Working Party on Territorial Indicators

How many students study abroad and where do they go?

2.2. From social efficiency to social welfare - Equity issues (Stiglitz ch.5, Gruber ch.2)

Parents, Schools and Human Capital. Differences across Countries

A Competitive Denmark:

Global Imbalances 2017 External Sector Report

Settling In 2018 Main Indicators of Immigrant Integration

GLOBAL MONITORING REPORT 2015/2016

MIC Forum: The Rise of the Middle Class

CO3.6: Percentage of immigrant children and their educational outcomes

Inclusion and Gender Equality in China

South-East Europe s path to convergence

Women at Work in G20 countries: Policy action since 2017

Data on gender pay gap by education level collected by UNECE

OECD SKILLS STRATEGY FLANDERS DIAGNOSTIC WORKSHOP

Big Government, Small Government and Corruption: an European Perspective. Alina Mungiu-Pippidi Hertie School of Governance

COUNTING IMMIGRANTS AND EXPATRIATES IN OECD COUNTRIES: A NEW PERSPECTIVE*

Widening of Inequality in Japan: Its Implications

The current and future status of women s rights

GENDER AND RACE IN THE LABOR MARKET

Who wants to be an entrepreneur?

Measuring Social Inclusion

2. Welfare economics and the rationale for public intervention 2.3. Equity: From Social Efficiency to Social Welfare

EDUCATION OUTCOMES EXPENDITURE ON EDUCATION INTERNATIONAL STUDENT ASSESSMENT TERTIARY ATTAINMENT

Equity and Excellence in Education from International Perspectives

Curing Europe s Growing Pains: Which Reforms?

Upgrading workers skills and competencies: policy strategies

Health Workforce and Migration : an OECD perspective

Asylum Levels and Trends: Europe and non-european Industrialized Countries, 2003

Council of Europe Annual Penal Statistics SPACE I & SPACE II Facts, figures and tendencies. Marcelo F. Aebi & Natalia Delgrande

XII BGK Conference. Discussion Panel : Strategic Directions for Regional Development. Emilia Skrok Jan Gąska

Globalisation and flexicurity

WORLDWIDE DISTRIBUTION OF PRIVATE FINANCIAL ASSETS

Who wants to be an entrepreneur?

Evaluating migration policy effectiveness

Course: Economic Policy with an Emphasis on Tax Policy

OECD/EU INDICATORS OF IMMIGRANT INTEGRATION: Findings and reflections

PISA 2015 in Hong Kong Result Release Figures and Appendices Accompanying Press Release

ISSUE BRIEF: U.S. Immigration Priorities in a Global Context

USING, DEVELOPING, AND ACTIVATING THE SKILLS OF IMMIGRANTS AND THEIR CHILDREN

Is This Time Different? The Opportunities and Challenges of Artificial Intelligence

The Math Gender Gap: The Role of Culture. Natalia Nollenberger, Nuria Rodriguez-Planas, Almudena Sevilla. Online Appendix

ASYLUM LEVELS AND TRENDS IN INDUSTRIALIZED COUNTRIES, 2005

The High Cost of Low Educational Performance. Eric A. Hanushek Ludger Woessmann

SPACE I 2016 Facts & Numbers

PISA 2009 in Hong Kong Result Release Figures and tables accompanying press release article

Education, financial markets and economic growth

Avoiding unemployment is not enough

A Global Perspective on Socioeconomic Differences in Learning Outcomes

Improving International Migration Statistics Selected examples from OECD

Who wants to be an entrepreneur?

Emerging Asian economies lead Global Pay Gap rankings

DOES SERVICES OFFSHORING CONTRIBUTE TO JOBS POLARIZATION? Hildegunn Kyvik Nordås, OECD 1

Executive summary. Part I. Major trends in wages

SPACE I 2015 Facts & Figures

ICT Strategic Study Part 1 Sectoral Outline May 2015

Intellectual Assets in Japan View from the OECD

What s happening to income inequality?

QGIS.org - Donations and Sponsorship Analysis 2016

A GAtewAy to A Bet ter Life Education aspirations around the World September 2013

Children, Adolescents, Youth and Migration: Access to Education and the Challenge of Social Cohesion

Measuring the impact of entrepreneurship policies: the contribution of the Index of Systemic Conditions for Dynamic Entrepreneurship (ICSEd-Prodem)

IS THE CASE FOR CENTRAL BANK INDEPENDENCE DEAD?

The Pursuit of Gender Equality

BRAND. Cross-national evidence on the relationship between education and attitudes towards immigrants: Past initiatives and.

Education Quality and Economic Development

The economic outlook for Europe and Central Asia, including the impact of China

Family Values and the Regulation of Labor

SKILLS, MOBILITY, AND GROWTH

The Transmission of Economic Status and Inequality: U.S. Mexico in Comparative Perspective

How Does Aid Support Women s Economic Empowerment?

Gender pay gap in public services: an initial report

International investment resumes retreat

Family Values and the Regulation of Labor

Public consultation on the EU s labour migration policies and the EU Blue Card

EU Innovation strategy

How do the performance and well-being of students with an immigrant background compare across countries? PISA in Focus #82

Making Trade Work for All

Mapping physical therapy research

HIGHLIGHTS. There is a clear trend in the OECD area towards. which is reflected in the economic and innovative performance of certain OECD countries.

Migration and Integration

Transcription:

THE PURSUIT OF GENDER EQUALITY : AN UPHILL BATTLE Canberra 16/17 November 217 Willem Adema, DPhil Senior Economist, OECD Social Policy Division Directorate Employment, Labour and Social Affairs

Some progress, but much left to do! What have OECD countries and other Adherents achieved since the adoption of the OECD Gender Recommendations? Some progress, e.g. fathers taking leave, pay transparency initiatives, and women in leadership. But, overall gender inequalities in various social and economic outcomes persist. 2

Gender equality is not only a fundamental human right. It is also a keystone of a prosperous, modern economy that provides sustainable inclusive growth Increases in educational attainment accounted for about half of economic growth since 196, and that owes a lot to bringing more girls and young women to higher levels of education. In the face of sluggish growth, ageing societies and increasing educational attainment of young women, the cost of inaction is high: reducing the gender gap in labour force participation by 25% by 225 could add 1 percentage point to projected baseline GDP growth across the OECD over the period 213-25, and almost 2.5 percentage points if such gaps were halved by 225. 3

The OECD Recommendations on Gender Equality in Education, Employment, Entrepreneurship and Public Life include measures to: Provide equal access to quality education and opportunities, e.g. work on curricula, STEM initiatives. Promote work/life balance, address discrimination, women in leadership positions, eliminate gender pay gaps Source: http://www.oecd.org/gender/. Reduce barriers to gender inequality in entrepreneurship, e.g. access to finance, mentoring and coaching supports Address gender issues in the implementation and evaluation of laws and budgets, public leadership positions Based on these principles the OECD pushes for change in countries and other international fora, e.g. G7, G2 and initiatives, e.g. EPIC. 4

The Pursuit s assessment is based on specific questionnaires and a wide range of OECD work Gender Equality Questionnaires The OECD Gender Portal www.oecd.org/gender/ The ABC of Gender Equality in Education, Education at a Glance and OECD PISA. Economic Surveys, e.g. Austria, India, Sweden en Canada - forthcoming Employment Outlook, Dare to Share, Building an Inclusive Mexico Entrepreneurship at a Glance, Inclusive Business Creation: a Good Practice Compendium Toolkit for implementing Gender Equality in Public Life SIGI 218, GENDERNET - Gender Marker 5

The Uphill Battle: the Persistent Gender Gaps in Education, Employment, Entrepreneurship and Public life 6

Boys are often more likely than girls to be all-round low achievers Proportion (%) of students that are all-round low achievers in PISA reading, mathematics, and science, by gender, 215 Girls Boys ( ) % all-round low achievers 5 45 4 35 3 25 2 15 1 5 Note: In countries marked with an asterisk (*), the gender gap in the proportion of all-round low-achievers is statistically significant at the 5% level. Source: OECD PISA 215 Database, http://www.oecd.org/pisa/data/ and OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris. http://dx.doi.org/1.1787/888933574399. 7

Young women obtain higher levels of educational attainment than young men in almost all OECD countries Gender gap (male minus female) in the share of the population that has attained tertiary education, 25-34 year olds, 215 or latest available year Gender gap (percentage points) 5-5 -1-15 -2-25 -3 Note: Data for Chile refer to 213 and for France to 214. "Tertiary education" includes all types of tertiary-level qualifications i.e. short-cycle tertiary qualifications (Levels 5 of the International Standard Classification of Education 211), bachelor or equivalent level qualifications (ISCED 211 Level 6), master or equivalent level qualifications (ISCED 211 level 7), and doctoral or equivalent level qualifications (ISCED 211 level 8). Source: OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris. http://dx.doi.org/1.1787/9789264281318-en 8

The wider the gender education gap in favour of women, the more pronounced gender egalitarian attitudes are Scatterplot between the gender gap in the in the share of 25-34 year olds that have attained at least upper secondary education and the proportion (%) of 25-34 year olds that agree with the statement: "A preschool child is likely to suffer if his or her mother works" Proportion (%) of 25-34 year -olds that agree with the statement 8 7 6 TUR a CHN AUT KOR CHL MEX RUS LVA a 5 4 CHE ISR ZAF LTU a DEU USA 3 CZE POL SVK GBR FRA 2 IRL DNK SVN FIN 1 AUS NOR SWE ISL a -1-7.5-5 -2.5 2.5 5 7.5 1 12.5 15 Gender gap (percentage point) in the share of 25-34 year-olds that have attained at least upper secondary education Notes: Data on the gender gap in the share of 25-34 year olds that have attained at least upper secondary education refer to 215, except for China (21), Chile and the Russian Federation (213), and France (214). Data on attitudes refer to 212. Data on attitudes for Germany refer to West Germany only. a) Iceland, Latvia, Lithuania and Turkey are considered outliers and are excluded from the calculation of the line of best fit. Source: OECD (216), Education at a Glance 216: OECD Indicators, http://dx.doi.org/1.1787/eag-216-en, and OECD Secretariat calculations based on International Social Survey Programme (ISSP) 212, www.issp.org/; See: OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris, http://dx.doi.org/1.1787/888933574152. 9

But young men and women choose different fields of study. Female share (%) of new entrants into tertiary education, by field of education, OECD average, 214 Female share (%) of entrants 1 9 8 78.2 75.3 7 6 5 4 63.8 57.3 48.8 48.3 37.3 3 2 24.4 1 Education Health and welfare Humanities and arts Social sciences, business and law Services Agriculture Sciences Engineering, manufacturing and construction Source: OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris. http://dx.doi.org/1.1787/9789264281318-en 1

Women do more unpaid work than men, while a better gender balance in unpaid work correlates with smaller gender employment gaps Mean average minutes per day in unpaid work, by gender, and female employment rates, 15-64 year-olds Mean average minutes of unpaid work per day 5 45 4 35 3 25 2 15 1 5 TUR TUR IND IND Female unpaid work ZAF ZAF MEX MEX POL ITA POL ITA KOR KOR DEU DEU Male unpaid work FRA FRA JPN JPN USA USA AUS AUS NZL GBR CHN CHN SWE SWE NZL GBR DNK NOR DNK NOR 2 25 3 35 4 45 5 55 6 65 7 75 8 Female employment rate, % Sources: OECD Gender Data Portal, http://www.oecd.org/gender/data/, and OECD Employment Database, http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase.htm, see OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris. http://dx.doi.org/1.1787/888933574931. 11

Women s labour force participation is below that of men, but most countries are making progress towards the G2 Brisbane 25*25 target on reducing such gaps Actual versus expected decline in gender gap in labour force participation, 212-216, percentage points Actual decline Expected decline 1.5 1.5 -.5-1 -1.5-2 -2.5-3 -3.5-4 -4.5 1.5 1..5. -.5-1. -1.5-2. -2.5-3. -3.5-4. -4.5 Note: The actual decline refers to the observed change in the gender gap between 212 and 216 (215 for Brazil and India). For 216, the data refer to Q2 for Argentina and an average of Q2 and Q3 for Saudi Arabia. The expected decline in the gender gap between 212 and 216 refers to the cumulated annual decline required in each country to achieve the G2 target (i.e. four-thirteenths of the overall target decline of 25% in the gender gap). For China, no recent data are available to calculate the actual decline in the gender gap and the data for 212 have been projected to calculate the expected decline in the gender gap. The data refer to the population aged 15 and over for India and 16-64 for the United States. Source: OECD calculations based on national labour force surveys and, for China, census data. 12

Men are twice as likely as women to be entrepreneurs Percent of workers who are employers, by sex, 15-64 year-olds, 216 or latest available Women Men % 1 9 8 7 6 5 4 3 2 1 Notes: Data for Australia, Chile, Canada, Mexico, New Zealand, the United States, and the OECD average refer to 215. Data for Australia, Chile, Israel, and Korea refer to 15+ year-olds, and for the United States to 16-64 year-olds. "Employers" are self-employed workers with their own employees. "Source: OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris. http://dx.doi.org/1.1787/888933575615. 13

Men are much more likely to spend more time at the workplace than women Percentage of employed with usual weekly working hours equal to or greater than 6 hours per week(a), by gender, 214 or latest available year % Men ( ) Women 3 25 2 15 1 5 Note: Data refer to usual weekly working hours in the main job only, except for Australia, New Zealand and Norway (usual weekly working hours in all jobs) and Japan and Korea (actual weekly working hours in all jobs). a) Data for Korea refer to actual weekly working hours equal to or greater than 54 hours per week. Source: OECD Secretariat calculations based on national household and labour force surveys; Pesquisa Nacional por Amostra de Domicílio (PNAD) for Brazil; the European Union Statistics on Income and Living Conditions (EU-SILC) survey for Turkey; and the European Social Survey (ESS) for the Russian Federation. See: OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris. http://dx.doi.org/1.1787/88893357381. 14

and when in employment, women are more likely to work part-time Percent of all employed in part-time employment, all ages, by sex, 216 or latest % Women Men 7 6 5 4 3 2 1 Note: Part-time employment is based on a common 3-usual-hour cut-off in the main job. Source: OECD Employment Database, http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase.htm 15

These gender gaps in employment participation have ramifications for career progression in private sector employment.. Female share of management employment and female share of labour force, all ages, 215 or latest available year Female share of managerial employment ( ) Female share of the labour force Female share (%) 6 5 4 3 2 1 Notes: Data for the United States refer to 213, and for Australia and Canada to 214. Data on managerial employment refer to he female share of the employed that hold jobs classified in International Standard Classification of Occupations (ISCO) 8 category one (as managers) (ISCO 88 category one for Canada, Chile, and the United States). "Source: OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris, http://dx.doi.org/1.1787/9789264281318-en. 16

and in the public sector, even though women often make up more than half of employees in central government Female share of employment in senior management in central government, and female share of all employment in central government, 215 or nearest available yeara % 9 8 7 6 5 4 3 2 1 Senior management in central government ( ) All central government Notes: Data coverage and the classification of occupations in central government sometimes vary across countries. For more detail and country-specific notes, please see OECD (217), Government at a Glance 217 (http://dx.doi.org/1.1787/gov_glance-217-en) Figure 3.8 and Annex D. a) Data for Italy and France refer to 214, and for the United Kingdom to 216. Data for senior management positions in Korea are for 216. Source: OECD (217), Government at a Glance 217, OECD Publishing, Paris, http://dx.doi.org/1.1787/gov_glance-217-en, see OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris, http://dx.doi.org/1.1787/888933574893. 17

These factors contribute to stability in the median monthly gender pay gap for full-time employees Gender pay gap (%) 6 5 4 3 2 1 Gender gap in median monthly earnings full-time employees, 21 and 215 or latest available 215 ( ) 21 Note: The gender gap in median monthly earnings is defined as the difference between male and female median monthly earnings divided by male median monthly earnings for fulltime employees. Full-time employees are defined as those individuals with usual weekly working hours equal to or greater than 3 hours per week. Data refer to weekly earnings for Australia, Canada, India, Ireland, the United Kingdom and the United States, and to hourly wages for Denmark, Greece, Iceland, New Zealand, Portugal and Spain. For years see OECD (217). Sources: OECD Employment Database (http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase.htm) for OECD countries, Colombia and Costa Rica; and OECD Secretariat calculations based on the Encuesta Permanente de Hogares (EPH) for Argentina, the Pesquisa Nacional por Amostra de Domicílio (PNAD) for Brazil, the National Sample Survey (NSS) for India, the National Labour Force Survey (SAKERNAS) for Indonesia, and the General Household Survey (GHS) for South Africa. See OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris, http://dx.doi.org/1.1787/888933574646. 18

Gender pay gaps are related to job and worker characteristics, but for a large part are unexplained Decomposition of the gender gap in mean monthly earnings, all employees, 214 or latest available Unexplained Long-hours Short-hours Job's characteristics Worker's characteristics 12% 1% 8% 6% 4% 2% % -2% Note: Countries are arranged from left to right in descending order of the proportion of the unexplained gender pay gap. The decomposition is performed using the Oaxaca-Blinder methodology, using the coefficients from a pooled model over both groups as a reference. Short-hours refer to a dummy variable equal to one in the case the individual works less than 3 hours per week in the main job. Longhours refer to composition effect of working more than 5 hours per week in the main job. Worker s characteristics refer to a full set of dummies for age categories, educational attainment groups and parenthood status. Job s characteristics refer to a full set of dummies for industry and occupation. Source: OECD estimates based on Household Income and Labour Dynamics (HILDA) for Australia, EU-SILC for EU countries, Current Population Survey Annual Social and Economic Supplement (CPS-ASEC) for the United States, see OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris, http://dx.doi.org/1.1787/888933574684... 19

With gender gaps diverging when children appear in households Gender gap in median hourly earnings, full-time employees, 25-44 year-olds, by presence of children, 214 % No children ( ) At least one child 6 5 4 3 2 1-1 -2 Note: The gender gap in median hourly earnings is defined as the difference between male and female median hourly earnings divided by male median hourly earnings. Full-time employees are defined as those individuals with usual weekly working hours equal to or greater than 3 hours per week. Countries are shown only if the sample size for full-time employed men and women (aged 25-44) with at least one child exceeds 2. Source: OECD Secretariat calculations based on the European Union Statistics on Income and Living Conditions (EU-SILC) survey for European Union countries, Iceland, Norway and Switzerland, the Household, Income and Labour Dynamics Survey (HILDA) for Australia, the Encuesta Nacional de Calidad de Vida (ECV) for Colombia, the Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH) for Mexico, and the United States Current Population Survey Annual Social and Economic Supplement (CPS-ASEC) for the United States, see OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris, http://dx.doi.org/1.1787/888933574722. 2

Earnings gaps leave women more exposed to financial risk than men Percentage of the recently separated population who experienced a large (2% or more) year-on-year decrease in their household disposable income, by sex, 28-11 % Women ( ) Men 9 8 7 6 5 4 3 2 1 Note: Working-age population. Equivalised household incomes, in real terms. Year-on-year observations were pooled from 27 to 213 for each country, and from 28 to 12 for the United States. Source: OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris. http://dx.doi.org/1.1787/88893357419. 21

Most ICT Specialists are men ICT specialists as a percentage of all male and female workers, 214 Notes: ICT specialists are defined as individuals employed in tasks related to developing, maintaining and operating ICT systems and where ICTs are the main part of their job. ICT specialists figures are based on the following ISCO-8 3-digits occupations: 133, 215, 25, 35, 742. The 'OECD28 Total' is the weighted average for all 28 OECD countries with available data.. "Source: OECD (216b), Skills for a Digital World: 216 Ministerial Meeting on the Digital Economy Background Report, OECD Digital Economy Papers, No. 25, OECD Publishing, Paris, http://dx.doi.org/1.1787/5jlwz83z3wnw-en, see Source: OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris. http://dx.doi.org/1.1787/888933575558. 22

The Uphill Battle: the Policy Response 23

Policy priorities, address: violence against women; gender pay gaps; and, the unequal sharing of unpaid work Number of adherent countries listing the following as one of the three most urgent gender equality issues needing to be addressed regarding in their country. Violence against women Women being paid less than men for the same work The unequal sharing of household tasks between men and women Low number of women in high levels of politics and business Facing prejudice due to stereotypes about men and women Other Women being more likely to be poor than men Women receiving lower pensions than men Higher drop-out rates among boys in education Lower life expectancy among men 5 1 15 2 25 Number of countries listing this as one of the three most urgent inequalities Note: 35 countries responded. Countries could select up to three top priority issues in their country. Source: OECD ELSAC Questionnaire on Progress in Implementing the 213 Gender Recommendation 24

Changing cultures, changing minds National strategies towards Violence Against women in Australia, Mexico and Sweden. A multifaceted Approach, including a focus on prevention, funding for services for women and initiatives to change community attitudes to violence and abuse. Evaluation is key, but most OECD countries do NOT have such a holistic approach Changing gender stereotypes, e.g. through curricula, Science, Technology, Engineering and Mathematics (STEM) Initiatives, public awareness campaigns Pay transparency initiatives, public information campaigns and greater transparency by employers. For example, the Australian Workplace Gender Equality Agency collects sex-disaggregated pay information from large employers and helps companies develop their gender equity objectives to help close the wage gap. 25

Almost half of OECD Countries have either introduced, plan to introduce or actively considering introducing gender budgeting Status of gender budgeting in OECD countries Introduced FIN Planned JPN ISR ISL BEL AUT NOR NLD MEX KOR AUS CAN CHL DNK EST ITA POL TUR PRT CZE SVK USA GBR CHE SVN Actively considering ESP SWE FRA DEU NZL GRC HUN IRL LUX Not planned Source: OECD (217), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris. http://dx.doi.org/1.1787/88893357476. 26

About one-third of OECD countries target at least 2 months of paid leave at fathers Duration of paid paternity leave and paid father-specific parental and home care leave(a), in weeks, 216 Father-specific parental and homecare leave Paternity leave 6 5 53 52 4 3 2 28 26 22 19 14 13 1 1 9 9 9 8 6 4 3 2 2 2 2 2 2 1 1 1 1 1.4.4.4 Source: OECD (217), The OECD Family Database, http://www.oecd.org/els/family/database.htm indicator PF2.1. 27

Introducing a daddy quota and the use by fathers: the Iceland experience Male share (%) of parental leave benefit days used, Iceland, 1995-214 4 35 21: Introduction of one-month of fathers-only paid parental leave 3 25 2 22: Fathers-only paid parental leave extended to two months 15 1 23: Fathers-only paid parental leave extended to three months 5 1995 1996 1997 1998 1999 2 21 22 23 24 25 26 27 28 29 21 211 212 213 214 Source: Nordic Social Statistical Committee (NOSOSCO), http://nowbase.org/da 28

it takes time to change behaviour In Sweden, the one-month father quota was introduced in 1995 and now it is three months: in 216, 45% of leave takers were fathers but mothers took more than twice as many leave days. In Germany, the proportion of children with a father using leave went up from 2.8% to 34.2% for children born in 28 and in 214. In January 216 in Korea the daddy month was extended to three months, and the male share of parental leave users increased from 5.6% in 215 to 8.5% in 216. In 214, France introduced a father-specific parental leave benefit for at least 6 months, but payment rates are low at around 16% of avg. earnings: in December 216, 4.4% of benefit recipients were men. In Japan around 3% of men whose spouse had given birth applied or used parental in 215. 29

Childcare enrolment is just below OECD average Participation rates for -2 year-olds in formal childcare and pre-school services, 214 or latest available year Rate (%) 7 6 5 4 3 2 1 Note. Participation rates for -2 year-olds concern children up to and including 2 years of age and generally include children in centre-based services (e.g. nurseries or day care centres and pre-schools, both public and private), organised family day care, and care services provided by (paid) professional childminders, although exact definitions vary slightly across countries. Source: OECD Family Database (http://www.oecd.org/els/family/database.htm) Indicator PF3.2 for country-specific notes and more detail. 3

while participation in out-of-school-hours care is low in international comparison. Participation rates for 6- to 11-year-oldsa in centre-based out-of-school-hours (before and/or after school) care services, by age group (a), 214 or latest year available Participation rate % 1 9 8 7 6 5 4 3 2 1 6-8 year-olds 9-11 year-olds Total 6-11 year-olds ( ) Note: Data generally reflect the proportion of children who use centre-based out-of-school-hours care services for at least one hour during a usual week. Data generally cover the use of services offered before and/or after school hours only, and do not cover 'school-going' children who use centre-based care services only during school holidays or only on days when schools are closed. Exact definitions do vary slightly across countries. See OECD Family Database (http://www.oecd.org/els/family/database.htm) Indicator PF4.3. for country-specific notes and more detail. (a) Data for Australia refer to children aged 6 to 12 and the age groups 6 to 8 and 9 to 12, for Japan to children aged 7 to 11 and the age groups 7 to 8 and 9 to 11, and for the United States to children aged 5 to 11 and the age groups 5 to 8 and 9 to 11. 3.2 for country-specific notes and more detail. 31

Successfully pursuing gender equality There are no quick fixes and generating change requires a sustained effort across a range of areas. Changing gender stereotypes o o o Awareness campaigns and where needed strengthen laws against sexual harassment and VAW campaigns/initiatives on educational choices, career implications, workplace cultures Promote fathers taking leave to care for children Affirmative action measures, such as quota s and targets to increase gender equality in leadership positions 32

Successfully pursuing gender equality (Contd.) Reduce barriers to gender equality in paid and unpaid work: strengthen policies that make it easier for both mothers and fathers to work, including tax incentives to work, genderbalanced parental leave, good-quality childcare supports and out-of-school hours care. Opening-up entrepreneurship opportunities Strengthening the institutional framework for gender equality 33

Further information OECD (217) The Pursuit of Gender Equality: An Uphill Battle: oe.cd/gender217 OECD (217) Report on the Implementation of the OECD Gender Recommendation, Meeting of the OECD Council at Ministerial Level Paris, 7-8 June 217, http://www.oecd.org/mcm/documents/c-min-217-7- EN.pdf. OECD (217) Dare to Share: Germany's Experience Promoting Equal Partnership in Families: oe.cd/dts OECD (217), Building an Inclusive Mexico - Policies and Good Governance for Gender Equality, http://dx.doi.org/1.1787/9789264265493-en. OECD Gender Data Portal: www.oecd.org/gender @OECD_Social 34