Welcome to my website! I am an Economist in the CoreAI team at Keystone AI. This website contains information about the academic research I conducted prior to joining Keystone. The opinions expressed here do not necessarily reflect the views of Keystone AI. If you would like to learn more about my work, please reach out:
You can find my CV here.
Research
Publications
- Estimating Industry Conduct Using Promotion Data (2023, joint with Christian Michel and Jose Manuel Paz y Mino) - RAND Journal of Economics 55 (4), 658-683 pdf
- Alert the Inert? Switching Costs and Limited Awareness in Retail Electricity Markets (2023, joint with Luisa Dressler) - American Economic Journal: Microeconomics 15 (1), 74-116 pdf
- Bidder Asymmetries in Procurement Auctions: Efficiency vs. Information (2023, joint with Christoph Carnehl) - International Journal of Industrial Organization 87 (102902) pdf
- Network Effects and Switching Costs in the US Wireless Industry (2022) - International Economic Review 63 (2), 601-630 pdf
- Identification of Dynamic Discrete Choice Models with Hyperbolic Discounting Using a Terminating Action (2025, joint with Chao Wang and Ruli Xiao) - forthcoming at Journal of Business and Economic Statistics pdf
Contributions to crowd-sourced publications
- Reproducibility in Management Science (2024, Fisar, M., Greiner, B., Huber, C., Katok, E., Ozkes, A. and The Management Science Reproducibility Collaboration) - Management Science 70.3, 1343-1356 pdf
Teaching
I have taught the following courses and advised numerous dissertations in applied microeconomics and econometrics.
Undergraduate level
- Machine Learning for Economic Data
- Econometric Theory and Practice I
Master level
- Econometrics I
- Big Data in Economics
PhD level
- Microeconometrics
- Econometrics Workshop