Pasha Andreyanov
- Assistant Professor: Faculty of Economic Sciences / Department of Theoretical Economics
- Pasha Andreyanov has been at HSE University since 2019.
Education and Degrees
University of California, Los Angeles
University of California, Los Angeles
Lomonosov Moscow State University
Awards and Accomplishments
Best Teacher — 2024
Courses (2024/2025)
- Auctions: Theory and Practice (Mago-Lego; 2 module)Eng
- Auctions: Theory and Practice (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics, field of study Economics; 2 year, 2 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 4 year, 1 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 1 module)Eng
- Machine Learning (Advanced level) (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics, field of study Economics, field of study Economics; 1 year, 4 module)Eng
- Machine Learning (Advanced level) (Mago-Lego; 4 module)Rus
- Past Courses
Courses (2023/2024)
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 4 year, 1 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 1 module)Eng
- Machine Learning: Additional Chapters (Mago-Lego; 4 module)Eng
- Machine Learning: Additional Chapters (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics, field of study Economics; 1 year, 4 module)Eng
- Microeconomics-1 (advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, field of study Economics; 1 year, 3, 4 module)Rus
Courses (2022/2023)
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 4 year, 1 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 1 module)Eng
- Machine Learning: Additional Chapters (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics, field of study Economics; 1 year, 4 module)Eng
- Machine Learning: Additional Chapters (Mago-Lego; 4 module)Eng
- Microeconomics-1 (advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Applied Mathematics and Information Science; 1 year, 3, 4 module)Rus
Courses (2021/2022)
- Application of Machine Learning in Macroeconomics (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 1 year, 4 module)Rus
- Auctions: Theory and Practice (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 1 year, 4 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences; 4 year, 1 module)Eng
- Economic Applications of Machine Learning (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1 module)Eng
- Microeconomics-1 (advanced course) (Bachelor’s programme; Faculty of Economic Sciences; 1 year, 3, 4 module)Rus
Courses (2020/2021)
- Auctions: theory and practice (Master’s programme; Faculty of Economic Sciences; 1 year, 4 module)Eng
- Economic applications of machine learning (Bachelor’s programme; Faculty of Economic Sciences; 4 year, 3 module)Eng
- Microeconomics-1 (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 1 year, 3, 4 module)Rus
- Research Project Seminar (Optional course (faculty); Faculty of Economic Sciences; 1-3 module)Rus
Conferences
- 2020
EACES Workshop (Санкт Петербург). Presentation: Secret Reserve Prices by Uninformed Sellers
"Face-to-face interaction is irreplaceable in academia": HSE and NES teamed up for Microeconomics Workshop
On October 14, ICEF HSE, HSE Faculty of Economic Sciences, and NES hosted a one-day, multiple-session workshop that featured the research being conducted by their scientists. A live streamed event held offline, the workshop proved another confirmation that digital services can never replace face-to-face communication.
How to Mitigate the Influence of Retail Investors on the Stock Market
Pasha Andreyanov, Assistant Professor in the Department of Theoretical Economics at HSE University and Tomasz Sadzik, Assistant Professor of Economics at University of California, have described a mechanism that allows the stock market to remain relatively calm despite the growing influence of retail investors. Their joint article, 'Robust Mechanism Design of Exchange', was published in the Review of Economic Studies, one of the top 5 academic journals in economics and finance.
HSE University Ranks 115th in RePEc World Ranking
The RePEc rating (Research Papers in Economics) is based on publication activity data in the field of economics and related disciplines. In recent years, HSE University has consistently ranked first among Russian universities, and it continues to steadily climb the global ranking, overtaking well-known, centuries-old foreign universities. In the latest European ranking, HSE University took 46th place. In the world ranking, the university has ranked 115th (an increase of 4 places in the space of one month).
Highlights of the CInSt research seminar with Pavel Andreyanov
Pavel Andreyanov presented his research "Secret Reserve Prices and Uncertainty in Timber Auctions" on CInSt research seminar on February 6th.
The schedule of CInSt research seminars for February and March is available
We invite everyone to join our prolific seminars for discussions and new ideas. The seminars are held on each Thursday in K416, 11 Pokrovsky Boulevard.