powerpoint presentation€¦ · verify •work and time: ewcs (2015) and eqls (2016): albania, the...
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Gender Equality Index 2015
Gender Equality Index 2017
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Gender Equality Index 2015
Gender Equality Index 2017
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Gender Equality Index 2015 Gender Equality Index 2017
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Gender Equality Index 2015
Gender Equality Index 2017
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• Media: Share of Board Members in publically ownedbroadcasting organisations.
• Sport: Share of Members of highest decision making bodyof the 10 most popular national olympic sportorganisations
• Research: Share of Members of the highest decision-making bodies of the largest public institution/s thatfinances basic (fundamental) and/or applied research ofpublic research organisations and universities.
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Gender Equality Index 2015
Gender Equality Index 2017
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• Share of people who are not involved in riskbehaviour i.e. don’t smoke and are not involved inheavy episodic drinking.
• Share of people who are physically active at least 150minutes per week and/or consume at least 5 portionsof fruit and vegetables per day
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• EU-LFS (2005-2015): EU-28, Iceland, Norway and Switzerland, the Former Yugoslav Republic of Macedonia and Turkey
• EU-SILC (2005-2015): EU-28, Iceland, Norway, Switzerland, Turkey (Albania from 2016?)
• WMID (2005-2015): EU-28, Montenegro, the former Yugoslav Republic of Macedonia, Serbia and Turkey, Iceland, Liechtenstein and Norway
• EWCS (2015): (workers), EU28, Norway, Switzerland, Albania, the former Yugoslav Republic of Macedonia, Montenegro, Serbia and Turkey
• EQLS (2016) (population): EU-28, Albania, the former Yugoslav Republic of Macedonia, Montenegro, Serbia and Turkey
• EHIS (2014): EU-28 countries, Iceland and Norway
• SES (2014): EU-28, Turkey, Iceland, Norway, Switzerland, Serbia, the former Yugoslav Republic of Macedonia, and Montenegro.
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Verify
• Work and Time: EWCS (2015) and EQLS (2016): Albania, the former Yugoslav Republic of Macedonia, Montenegro, Serbia and Turkey should have data (prospect career index, flexibility, caring and social activities)
• EU-SILC: Albania from 2016?
• Work. National sources for BA, XK, SR
• Knowledge. Administrative data for Education, XK, SR
• Money. SES (2014). Turkey, Serbia, the former Yugoslav Republic of Macedonia, and Montenegro should have data
• Health. National sources are needed
• Power. Admin data for BA, XK (AL ok), SR, TK, MC, MN (WMID)
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Gender gaps
Levels of achievement
EqualityInequality
1 100
+ Low gender gaps + High levels of achievement
Higher score
Better situation
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The final metric for each indicator is defined as:
Γ Xit = 1 + [∝ Xit ∙ (1 − Υ Xit )] ∙ 99
Whereas:
• 1 − Υ(Xit) measures the gender gaps, identifying the equality
point at 1 and the inequality at 0.
• ∝ Xit is the correcting coefficient, calculated for each year by
taking the quotient of the distance for each Member State of its total level in a given indicator to that of the highest performing country in that same indicator that year:
∝ Xit =෩XitT
max෩XitT
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To freeze the denominator. The denominator is a fix quantity (max in
2005, 2010, 2012 and 2015 for each indicator) making easy the
comparisons over time.
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To reduce that impact we will use the following formula for calculating the correcting coefficient for a given indictor, using root, with k=2
∝ Xit =෩XitT
max {෩Xi2005T , ෩Xi2010
T , ෩Xi2012T , ෩Xi2015
T }
1/2
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Conceptual Measurement
Age 15/16-24 years25-49 years50-64 years65 and older
Migrant population Born in the reporting countryNot born in the reporting country
Disability Health related restrictions in everyday lifeNo health related restrictions in everyday life
Family status/household composition
Single personLone parentsCouple with childrenCouple with no children
Education Low educated Medium educatedHigh educated
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