My interest is in using econometrics, especially Bayesian econometrics, and machine learning methods to infer causality. I tend to work with mostly parametric models of firm and consumer behavior to assess the effectiveness of firm actions. My work spans a variety of industries such as pharmaceuticals, e-commerce, gaming and hi-technology.
Puneet Manchanda
Professor of Marketing, Stephen M Ross School of Business
Using econometrics and machine learning methods to infer causality
COntact
WebsiteLocation
Ann Arbor
Methodologies
Causal Inference / Data Mining / Graph-Based Methods and Networks / Machine Learning / Mathematical and Statistical Modeling / Statistics
Applications