Causal Inference Methods for Business Analytics

Mentor

Prof. Nivedita Bhaktha, Dept. of Management Science
Jul 2024 – Sept 2024

Project Overview

Applied causal inference techniques to analyze economic policies and demographic factors affecting employment and wages.

Key Contributions

• Conducted Difference-in-Differences (DiD) analysis to study the impact of minimum wage changes on employment.
• Performed Event Study analysis to evaluate the effects of petrol price policies across Indian states.
• Investigated the relationship between Gross National Income (GNI) and demographic variables using regression, addressing multicollinearity issues.
• Applied Instrumental Variable (IV) regression to resolve wage endogeneity and extract meaningful policy insights.

Tools & Techniques

• Statistical software: R / Python (specify if needed)
• Econometric methods: DiD, Event Study, Regression, IV Regression