1 OECD Family Database www.oecd.org/els/social/family/database Inaugaral ISCI Conference, Chicago, USA 26-28 June, 2007 Annette Panzera OECD Social Policy Division
Jan 13, 2016
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OECD Family Database
www.oecd.org/els/social/family/database
Inaugaral ISCI Conference, Chicago, USA
26-28 June, 2007
Annette Panzera
OECD Social Policy Division
2
Presentation outline
• What is the OECD?– What do we produce?
• Structure of the database– Some example indicators– Other relevant OECD products
• The way ahead– Data gaps, how to fill them?– Other indicators to develop
3
What is the OECD and what does it do?
• The OECD exists to promote policies designed “to achieve the highest sustainable economic growth and employment and a rising standard of living”.
• To identify best practice, the OECD develops indicators focused on internationally comparable datasets which illustrate some vital differences in experience, across countries, over time and across different groups.
• Work on social policy at the OECD covers public pensions, social expenditure, tax/benefits systems, child well-being and policies relating to families and children– OECD Family database a new concept to find data relating to
families and children in one place
4
Family database structure
• Family composition:
• Labour Market Status of Families
• Public Policies for Families and Children
• Child Outcomes
5
1.The Structure of Families
– Average family size
– Fertility rates, childlessness
– Marriage and divorce rates
6
Trends in fertility rates (1980)1980
AUS
AUT
BEL
CHEDEU
ESP
FIN
FRA GBR
GRC
IRL
ITA JPN
KOR
NLD
NZL
PRT
SWE
USA
1.0
1.5
2.0
2.5
3.0
3.5
20 30 40 50 60 70 80 90Employment rates of women
To
tal fe
rtility
rate
s
SWE
NORISL
DNK
1.0
1.5
2.0
2.5
3.0
3.5
20 30 40 50 60 70 80 90
7
Trends in fertility rates (2005)2005
USA
GBR
CHE
SWE
ESP
SVK
PRT
POL
NOR
NZL
NLD
MEX
LUX
KOR
JPNITA
IRL
ISL
HUNGRC
DEU
FRAFIN
DNK
CZE
CAN
BEL
AUT
AUS
1.0
1.5
2.0
2.5
3.0
3.5
20 30 40 50 60 70 80 90Employment rates of women
To
tal fe
rtility
rate
s
8
More information – family structure
• D’Addio, A-C, and M. Mira d’Ercole (2005), “Trends and determinants of Fertility rates in OECD Countries: the Role of Policies”, OECD Social, Employment and Migration Working Papers, No. 27, OECD, Paris
(www.oecd.org/els/workingpapers)
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2. Labour Market Status of Families
– Maternal employment rates by family size and number of children
– Gender differences in employment outcomes
– Work/family balance (Usual weekly working hours, Family-friendly workplace practices, Time-use)
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Female employment rates usually increase with higher educational attainment
Female employment rates by educational attainment, 2004
0
20
40
60
80
100
SWE UKM NLD AUS GER USA FRA JPN KOR
Employment rate (%)Compulsory education University education
Lower female employment rate with university
education
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Long working hours in some countries impacts upon family life
KOR
USA
JPN
SWE
DEU
AUS
GBR
FRA
NLD
Men Women
87
84
80
70
59
54
53
34
47
020406080100
40 andover30 to 39
20 to 29
1 to 19
77
64
48
40
27
23
17
16
10
0 10 20 30 40 50 60 70 80 90 100
1 to 19
20 to 29
30 to 39
40 and over
12
More information –Policies to help reconcile work and family/ Labour market dynamics
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3.Public Policies for Families and Children
– Public spending on families (Child support, Spending on families and education)
– Child-related leave– Childcare (Enrolments, Financing, Quality)
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Enrolment in childcare (for children aged 0 – 3) varies widely across countries
Panel A: Average enrolment rate of children aged under three years of age in formal childcare (2004)
0
20
40
60
80
SWE USA NLD AUS FRA UKM KOR JPN GER
%0 - 3 years
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Participation for older kids is particularly high in France
Source: OECD Family database and OECD Education database.
Average enrolment rate of children aged three to five years of age in pre-school educational programmes (2004)
0.0
20.0
40.0
60.0
80.0
100.0
FRA SWE JPN UK GER AUS NLD USA KOR
% 3 - 5 years
16
Public spending on ECEC varies accordingly….
OECD (2007), Social Expenditure database 1980-2003.
Public spending on childcare including pre-primary education, 2003
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
SWE FRA USA UK NLD AUS GER JPN KOR
% Day-care Pre-primary education
OECD Average = 0.7%
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….as does public spending on families (2003)
OECD-24; tax support data for Greece, Hungary, Luxembourg, Poland, Switzerland and Turkey is not available.Source: OECD (2006, forthcoming), Social Expenditure Database (www.oecd.org/els/social/expenditure).Notes: - Public support accounted here only concerns public support that is exclusively for families (e.g. child payments and allowances, parental leave benefits and childcare support). Spending recorded in other social policy areas as health and housing support). Spending recorded in other social policy areas as health and housing support also assists families, but not exclusively, and is not included here.- OECD-24 excludes Greece, Hungary, Luxembourg, Poland, Switzerland and Turkey where Tax spending data are not available.
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
FRA SWE AUS GER UKM NLD USA JPN KOR
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Cash Services Tax breaks towards family OECD-24 (2.4%)
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There are large differences in spending patterns on children
Sweden
-
2,000
4,000
6,000
8,000
10,000
12,000
14,000
0-1 1-2 2-3 3-4 4-5 5-6 6-7 7-8 8-9 9-10 10-11 11-12 12-13
Years
PPP$
New Zealand
-
1,000
2,000
3,000
4,000
5,000
6,000
0-1 1-2 2-3 3-4 4-5 5-6 6-7 7-8 8-9 9-10 10-11 11-12 12-13
Years
PPP$
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Other relevant OECD publications and data – Policies for families
Other sources: : • Social Expenditure Database
(SOCX 2007), 1980-2003 (including net data for 2003)
• Immervoll, H. and D. Barber (2005), “ Can Parents afford to Work? Childcare costs, Tax-benefit policies and work incentives ”, Social, Employment and Migration Working Papers, No. 31, OECD, Paris (www.oecd.org/els/workingpapers).
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4.Child Outcomes
– Child health (Immunisation, birth weight, infant mortality)
– Child poverty
– Education/literacy (Attainment by level of education, Fields of study (by gender), Literacy scores)
– Societal participation
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Child poverty has recently been rising in many countries
Per cent of children in households with incomes below 50% of the median
0
5
10
15
20
25
30
2000
2005
22
Educational attainment has risen dramatically in the last 20 years, especially
for women Females Aged 25-34 Aged 45-54 Males
Korea
Japan
Sweden
United States
Germany
France
Netherlands
Australia
United Kingdom
Source: OECD Education database
Percentage of population that has attained at least an upper secondary education, by gender and age group, 2004
72
78
79
79
87
86
90
92
97
0 20 40 60 80 100
68
75
81
82
84
88
93
96
97
020406080100
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The relationship between parental employment and literacy scores
PISA 2003Paternal employment Maternal employment
360
410
460
510
560
Finland Korea Canada Australia New Zealand Belgium Ireland Netherlands Sweden UK Germany Poland Norway Japan US France Switzerland Czech Austria Denmark Iceland Hungary Luxembourg Portugal Spain Italy Slovak Republ Greece Turkey Mexico
mea
n s
core
Father FT Father PT Father NW
360
410
460
510
560
Finland Korea Canada Australia New Zealand Belgium Ireland Netherlands Sweden UK Germany Poland Norway Japan US France Switzerland Czech Austria Denmark Iceland Hungary Luxembourg Portugal Spain Italy Slovak Republ Greece Turkey Mexico
mea
n s
core
Mother FT Mother PT Mother NW
0102030405060708090100
Difference in mean score
-40 -20 0 20 40 60 80 100
UK
US
France
Sweden
Germany
Australia
Japan
Korea
Netherlands
Difference in mean score
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The relationship between pre-school attendance and literacy scores (PISA
2003)
OECD Average
Canada
Denmark
Greece
Poland
Sweden
Norway
Japan
Australia
Luxembourg
Spain
US
Slovak Republ
Italy
Ireland
Czech
Finland
Korea
0
10
20
30
40
50
60
70
80
90
100
FRA GER UKM NLD SWE AUS US KOR
Difference between no pre-school attendance and one year or less of pre-school attendance
Difference between no pre-school attendance and more than one year of pre-school attendance
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More information – child outcomes
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Next Steps:
• Questionnaire sent out requesting information on:– Living arrangements of children
– Parental employment patterns
– Take-up of child related leave
– OSHC
• Other sources of data eg.– PISA 2006
– OECD Income Distribution Study (2007)
• OECD Child well-being project– Conception to 3 years
– Literature survey of the effect of family structure on child well-being
– Distribution of public spending by age of child
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