Expert Perspective | Regression – how to?

Follow up to meeting done earlier.

In this session, Syngenta’s internal approach to the EU Pay Transparency Directive was unpacked through a deep dive into regression modeling. The presenter, Anukriti Kumar, demonstrated how open-source tools like R can be leveraged to build scalable, auditable, and actionable pay equity analysis. The meeting emphasized the importance of using gender-neutral, job-related factors and translating complex statistical outputs into leadership-friendly dashboards. These insights are not only relevant for compliance but also for building fairer compensation structures across organizations.

• Build Internal Capability with R
  R enables fast, scalable, and customizable regression modeling, replacing Excel’s limitations and empowering internal teams to own the analysis.
• Use Gender-Neutral, Job-Related Factors
  Factors like tenure, performance, and location are essential for fair analysis and must align with company philosophy.
• Counterfactuals Support Right-to-Information
  Simulating earnings under the opposite gender’s model helps employees understand disparities and supports EUPTD compliance.
• Visual Dashboards Drive Actionable Insights
  Non-technical dashboards help leaders interpret findings and take targeted actions, such as hiring more women in high-paying roles.
• Raw Gap ≠ Discrimination
  Adjusted gaps reveal true disparities. Organizations must avoid simplistic interpretations and focus on structural and treatment differences.

AI generated by Copilot from designated meeting content only | Rumbold