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  • equal pacE United Kingdom
  • equal pacE Suomi
  • equal pacE France
  • equal pacE Polska
  • equal pacE Vlaams-België en Nederland

Co-funded by the PROGRESS Programme of the European Union

Questions or comments?

Please don't hesitate to contact us if you have any questions, comments or messages.

Please note that we can reply only to requests in English!

Phone: +49 (0) 30 27877-133

Questions or comments?

Please don't hesitate to contact us if you have any questions, comments or messages.

Please note that we can reply only to requests in English!

 Contact form

The equal pacE web tool

The equal pacE web tool is an innovative software application for companies to detect gender pay inequalities in the firm's pay structures and to identify the key drivers of the gender pay gap on the company level. It is a modified version of the established German web tool Logib-D that was adjusted for online use in Finland, Flemish-Belgium/the Netherlands, France, Poland and the United Kingdom.

Requirements for using the equal pacE web tool

  • Sufficient number of observations in the analysis (at least 50 employees recommended)
  • Sufficient number of females and males in the analysis (at least 20 males and 20 females recommended)
  • Career breaks can be considered since the employee’s entry in the company

Please note that analysing data sets with more than 10,000 observations may take long computing times or lead to no result at all.

web tool image

© Gina Sanders Fotolia.com

The equal pacE web tool enables companies to voluntarily check if a gender pay gap exists, identify its potential size and determine which characteristics of the employees and the workplace may cause its existence. The equal pacE web tool is based on econometric techniques. An ordinary least squares (OLS) regression is performed with the following controls: a gender variable, the number of standardised years in education, the tenure, the (potential) employment experience, the job complexity and the management level. Users receive information on the proportion of the gender pay gap accounted for by each of these characteristics. In addition, the adjusted gender pay gap is shown. Several calculations allow the presentation of comprehensive gender-related data on the link between earnings and workers' characteristics.

The following outcome reports (PDF files) are based on test data and show the results of applying the equal pacE web tool. The reports vary along with the number of observations included in each analysis, the share of males/females and the size of the gender pay gap:

  • Outcome report 1 based on test data (PDF file):
    Observations: 1,124; share of females: 42.3 %; gender pay gap: -21.3 % (adjusted gender pay gap: -4.0 %)
  • Outcome report 2 based on test data (PDF file):
    Observations: 700; share of females: 38.9 %; gender pay gap: -17.3 % (adjusted gender pay gap: -4.2 %)
  • Outcome report 3 based on test data (PDF file):
    Observations: 400; share of females: 48.5 %; gender pay gap: -29.1 % (adjusted gender pay gap: -5.4 %)

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