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Research Interests

I study the causal effects of marketing and technology on consumers, markets, and public welfare, using large-scale field experiments, natural experiments, and causal inference.

Methods: Field and natural experiments, difference-in-differences, synthetic control, causal inference, dynamic choice and state-space models.

Domains: Consumer financial decisions and retirement savings, public health and regulation, political advertising, pricing and price transparency, digital platforms, and livestream and AI-mediated commerce.

About Me

I am an empirical researcher who uses large-scale field experiments, natural experiments, and causal inference to understand how marketing shapes consumer behavior, markets, and public welfare. My work spans two research streams.

One stream takes a public-policy perspective on marketing, examining the regulatory and welfare implications of marketing actions in contexts including consumer financial decisions and retirement savings, anti-smoking campaigns, political advertising, and secondary-market restrictions.

The other stream studies digital and technology marketing — whether and how new digital tools improve firm performance and consumer outcomes. Recent projects include some of the first large-sample causal evidence on AI-powered livestream commerce, along with work on advertising effectiveness, pricing and price transparency, and the adoption of platform technologies such as mobile ride-hailing and digital learning apps.

My approach is problem-driven rather than method-driven. I draw on a range of techniques — field experiments, quasi-experimental designs, dynamic programming, state-space models, maximum likelihood, and Bayesian statistics — and on data ranging from publicly available sources to administrative records and research partnerships with firms.