I am a Ph.D. candidate in Economics at the University of Minnesota. My fields are textual analysis and empirical macroeconomics. I study when the text of news and research carries economic information that standard data miss, using large text corpora and machine-learning methods. I am on the 2026–2027 academic job market.
Before Minnesota, I earned an M.Sc. in Economics from EIEF and LUISS (Rome) and a B.Sc. in Economics from Lomonosov Moscow State University. I teach undergraduate econometrics at Minnesota.
Job Market Paper
When the News Matters: Newspaper Text and Real-Time Forecasts of U.S. Growth
I build monthly text measures from 11.76 million articles in seven U.S. newspapers and ask whether, and when, they improve real-time forecasts of U.S. growth. The gains are concentrated in the Great Recession: in four quarters of 2008–09, text beats an autoregressive benchmark by 10–13% for GDP and 20–35% for consumption, while in normal times neither text nor hard data does.
Paper (PDF) · Slides (PDF) · Abstract
Other Research
With Arseniy Stolyarov, I study pricing and discount dynamics on the Steam video game platform and use sentiment analysis of Steam user reviews to predict player behavior. I also document the spread of identification designs across the economics profession. All papers and slides
References
Kjetil Storesletten (Advisor)
Richard and Beverly Fink Professor of Economics
University of Minnesota
kstoresl@umn.edu
Joseph Mullins
Associate Professor of Economics
University of Minnesota
mullinsj@umn.edu
Ayça Özdoğan Atabay
Director of Undergraduate Studies, Department of Economics
University of Minnesota
ozdog002@umn.edu