Welcome to my website! I am an Economist in the Core AI 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) - forthcoming at RAND Journal of Economics 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
Contributions to crowd-sourced publications
- Reproducibility in Management Science (2023, Fisar, M., Greiner, B., Huber, C., Katok, E., Ozkes, A. and The Management Science Reproducibility Collaboration) - forthcoming at Management Science pdf
Working papers
- Identification of Dynamic Discrete Choice Models with Hyperbolic Discounting Using a Terminating Action (2023, joint with Chao Wang and Ruli Xiao) - R&R at Journal of Business and Economic Statistics pdf
Work-in-progress
- The Welfare Effects of Price Caps in Search Markets - Evidence from Uruguayan Retail Data During the
COVID-19 Pandemic (joint with Jose Manuel Paz y Mino)
- Product Proliferation in Markets With Switching Costs - Implications for Consumer Welfare in the U.S. Wireless Industry (joint with Oleksandr Shcherbakov)
- Buyer Conduct and Supply Shocks: Evidence from Uruguayan Meatpacking Firms (joint with Jose Manuel
Paz y Mino)
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