Causal Impact Analysis of Anti-Competitive Behavior
Project Overview
Conducted a comprehensive causal impact analysis to assess the economic effects of alleged anti-competitive behavior by a major automotive parts supplier. The analysis was used in a legal context to evaluate whether penalties imposed on relayers had a statistically significant negative effect on sales.
Methodology
Applied advanced causal inference techniques including Difference-in-Differences (DiD) and Before-After analysis to isolate the causal impact of the penalties. Controlled for confounding factors and conducted extensive robustness checks to ensure the validity of the findings. Implemented statistical tests to evaluate the significance of the observed effects.
Results
The analysis conclusively demonstrated that the penalties imposed on relayers had no statistically significant negative effect on sales. These findings were instrumental in reducing the fine imposed on the company by $120 million.
Conclusion
This project demonstrated the power of rigorous causal inference in legal and regulatory contexts. By applying advanced econometric techniques, we were able to distinguish correlation from causation and provide evidence that significantly impacted the legal outcome.
