Nils Breitmar


Interests

Online Behavioral Advertising
Competition and Antitrust on Digital Platforms
Data Science and Applied Econometrics
Auction Theory

About

Nils Breitmar studied econometrics and operations research at Maastricht University in the Netherlands and obtained his master's degree in Management Science and Engineering from Columbia University in the City of New York. He held a scholarship from the German Academic Merit Scholarship Foundation.

His interest lies at the intersection of big data and quantitative methods applied to business and economic questions in the context of social networks and advertising data. He conducted a one-year research exchange at the University of California, Irvine, working on projects involving high-dimensional panel data and auction theory. Nils continued to be affiliated with the Deep Data Lab for another year, where he presented his work at the American Economic Association's annual conference in New Orleans and the National Association for Business Economics Tech conference in Seattle.

Before joining the Chair of Electronic Commerce at Goethe University in 2023, Nils gained several years of industry experience with a start-up in the social networking space. There, he analyzed data and was responsible for improving programmatic advertising performance.


Publications

Breitmar, Nils A., Matthew Harding, and Carlos Lamarche. "Using Grouped Data to Estimate Revenue Heterogeneity in Online Advertising Auctions." AEA Papers and Proceedings. May 2023, Vol. 113. https://www.aeaweb.org/articles?id=10.1257/pandp.20231095

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