UNECE Work Session on Gender Statistics 6-8 october 2008 Geneva

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Economic Indicators for Gender Analysis

Some observations

Ko OudhofStatistics Netherlands

UNECE Work Session on Gender Statistics 6-8 october 2008 Geneva

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Papers in the session

• Gender and Economic Statistics– Heather Dryburgh, Statistics Canada

• Gender Pay Gap: Data availability and measurement issues– Elisa Benes, UNECE Statistical Division

• Measuring gender equality in the economy in countries of Central Asia

– Ewa Zimny and Enrico Bisogno, UNECE

• Who benefits more? Benefit of the government by gender.• A Dutch example of gender budget analysis

– Saskia Keuzenkamp, Statistics Netherlands

• Social Accounting Matrix (SAM)– Maria Isabel Quintela, National Statistical Institute, Portugal

UNECE Work Session on Gender Statistics 6-8 october 2008 Geneva

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Abstract starting point: social process

FACTOR/CAUSE

ACTORS & POSITIONS EFFECT

Non-gendered --- (?)

Non-gendered

Male → Male → Male

Female Female Female

Institutional Institutional Institutional

UNECE Work Session on Gender Statistics 6-8 october 2008 Geneva

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Gendering Economic Indicators (1)

• WITHIN ACTORS/POSITIONS– male/female paid work participation– occupational segregation– within households (roles, decisions)

• EFFECTS – genderised contribution to GDP (informal work)– genderised consumption (markets)

• CAUSES– genderised consequencies of budgets– equality policy

UNECE Work Session on Gender Statistics 6-8 october 2008 Geneva

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Gendering Economic Indicators (2)

UNECE:

Measurement/data gender pay gapCause ≠ Male/Female ≠ Effect

Netherlands

Gendering tertiary income (government budget)

More general and more monetary than most GBA’s

Institutional Male/Female ≠ Effect

UNECE Work Session on Gender Statistics 6-8 october 2008 Geneva

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Gendering Economic Indicators (3)

PortugalSocial accounting matrix

Institutional (compensation) Male/Female (labour input) Institutional

CanadaAvailable data on labour market, time use,

income etc. and possible gapsAvailable: Cause ≠ Male/Female ≠ EffectGap 1: Institutional male/female ≠ EffectGap 2: Cause ≠ Male/female Institutional

UNECE Work Session on Gender Statistics 6-8 october 2008 Geneva

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IF YES? - QUESTIONS (≈ reflections Canada)

Papers raise questions for other countries: • Would it be conceivable to genderise the elements?

– Yes, it has been done, look at papers

• Would it have any use to do it? – Idem, but what considering the national context?

• Would it be feasible?– Considering policy as well as data needs

• Would it deserve any priority?

• Would it be possible to bring about any priority?

• When should it start?

UNECE Work Session on Gender Statistics 6-8 october 2008 Geneva

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AND BEYOND THAT….

• Why not the ultimate model:– Male/Female Cause Male/Female Male/Female

Effect

• Gender pay gap– Entepreneurs etc pay gap

– Pay gap economic contribution

• Tertairy income– Decision makers income

– tertiary income social participation

• SAM– Entepreneurs etc paid labour

– Paid labour Entrepreneurs etc.

UNECE Work Session on Gender Statistics 6-8 october 2008 Geneva

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IF YES? - QUESTIONS

Questions for all (?) countries: • Would it be conceivable to genderise the

elements?

• Would it have any use to do it?

• Would it be feasible?

• Would it deserve any priority?

• Would it be possible to bring about any priority?

• When should it start?