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, Marketing, Ross School of Business
Using econometrics and machine learning methods to infer causality
COntact
WebsiteLocation
Ann Arbor
Methodologies
Bayesian Methods / Causal Inference / Data Mining / Machine Learning / Mathematical and Statistical Modeling / Networks / Statistics
Applications
Behavioral Science / Economics, Finance and Business / Informatics /