Summary

As the retail sector faces mounting pressure to address public health challenges, it is imperative to evaluate the effectiveness of market-based interventions. This doctoral study is dedicated to advancing responsible retailing by applying robust causal inference to quantify the impact of policies such as soda taxes, health levies, and junk food bans. Our focus lies in uncovering how both consumers and retailers adapt to a shifting regulatory landscape using retailer web data and consumer scanner data.

By leveraging Big Data and modern econometrics, we aim to isolate policy effects from market noise. This research provides prescriptive insights for policymakers and practitioners, marrying rigorous quantitative marketing with public health goals to foster a sustainable retail environment that balances commercial viability with societal well-being.