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Equal Pay research in Hungary and Belgium. Bussum, the Netherlands April 15, 2008 Szilvia Borbely. EQUAL project „Equal pay for equal work!” January 2005-April 2008. Target Adapting and making to function innovative tool to increase female equal opportunities Tools Website Database
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Equal Pay research in Hungary and Belgium Bussum, the Netherlands April 15, 2008 Szilvia Borbely
EQUAL project „Equal pay for equal work!” January 2005-April 2008 Target Adapting and making to function innovative tool to increase female equal opportunities Tools • Website • Database • Content development • Partnership
Specialities • Adapting Dutch wageindicator • Combination of methods to create database • Including target persons to create database (needs assessment and training element) • Database: cross-country comparability • Developing trade union strategies
Hungarian database of 10000 samples • Representativity (male/female, age,scholarity,regions, NACE (19/29), ISCO) • Disparities –regional (max32%, min7% • White collar (26%), blue collar (19%)
Belgium – 16,5% Function related variables - characteristics of the jobs of men and women – complexitiy of jobs Person-related variables-education Company-related variable: low Hungary-structural effect (-7%)+high discrimination effect (26%) due mainly to: Jobs requiring higher or middle education (4%) Education – higher education (23%) Years in work (11-20 years: 35%) Growing % of women in workplace: negative discrimination effect TCA I Explanation of gender wage gap
TCA II: Working conditions of women and men with focus on the reconciliation of duties at work and in the family • Working time • Full-time, part-time • Organisation of working time • Flexibility and security • Flexibility in work-time organisation • Working contracts as condition of labour market flexibility • Training as condition of re-entrance into the labour market and labour market security • Stress at work
Some example Source WageIndicator dataset Sept. 2004-Sept. 2006; BérBarométer 5000 dataset, October 2006, Hungary
Problems, questions • Minimum requirement of sample number • Time schedule (database development:2006/2007 - yearly wage rise) • Gross or net wage? • Use hourly or monthly wage? • Methodology to calculate the pay gap