1. IDS WageIndicator Conference ‘Going Global’ Louisa Potter and Simone Melis Incomes Data Services Amsterdam, 16 April

2. IDS The International Gender Pay Gap Comparing WageIndicator and ILO data

3. IDS Outline  Global data from ILO  WageIndicator findings  Visualizing the gap  Comparing ILO and WI results  Methodological issues  Debate: towards a single WI methodology?

4. IDS Global data  Analysis of pay gap in 63 countries; 30 European, 33 across the rest of the world  Global average 15.6 per cent (excluding Bahrain 16.5 per cent)  Results generally more positive in Europe, Oceania and Latin America, with Europe taking the lead  Data deficiencies in a number of countries, particularly across Africa and Asia

5. IDS Global data (2)  Europe - Average pay gap 14.5 per cent Overall decline in pay gap over the last decade Job segregation by gender has a negative effect on pay gap (i.e. UK)  Americas - North America: lack of official data Larger pay gap in Canada (27.5%) & USA (22.4%) than world average Latin America: mixed picture due to large informal economies

6. IDS Global data (3)  Oceania - Pay gap lower than world average: Australia 14.1% & New Zealand 13.8% Mixed picture on progress  Africa - Insufficient data  Asia - Pay gap significantly higher than world average Large variation due to the nature of individual country labour markets and quality of official data, i.e. Bahrain (-40%), Japan (33.4%), Mongolia (16.1%) and Sri Lanka (7.3%)

7. IDS WageIndicator findings  12 countries covering almost 300 000 respondents  Average gap ranges between 13 (Brazil) and 23 per cent (Poland)  Pay gap is higher in female-dominated work environments than in typical male dominated work environments  The gender pay gap by NACE industry breakdown

8. IDS WageIndicator findings (2)  Part-time vs. full-time hours  The relationship between trade union membership and the gender pay gap  The public-private sector divide  Does education matter?

9. IDS Visualizing the global gap

10. IDS Visualizing the European gap

11. IDS Comparing ILO and WI results CountryILO/Eurostat data sources Wage Indicator database Belgium7.0 (provisional)13.3 Brazil17.7 (2004)12.9 Finland20.0 Hungary22.021.9 Germany11.017.0 Netherlands18.0 (2005)20.8 Poland12.023.0 Spain13.021.8 United Kingdom20.0 (2005)15.7

12. IDS Methodological issues  Defining the gender pay gap  Calculating earnings  Availability and reliability of data  Sample size/response rate  Type of employee  Data collection

13. IDS Debate: Towards a single WI methodology?  Adjusted or unadjusted?  Weighted?  Hourly/weekly/annual earnings data?  Data collection period?