Bogdan Potanin
- Assistant Professor: Faculty of Economic Sciences / Department of Applied Economics
- Bogdan Potanin has been at HSE University since 2016.
Education and Degrees
HSE University
HSE University
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Awards and Accomplishments
Best Teacher — 2024
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Lecturers under 30" (2019–2020)
Supervisor of the following Doctoral theses
- 1Y. Trifonov Relaxing Distributional Assumptions and Accounting for the Asymmetry Effect in Generalized Autoregressive Conditional Heteroskedasticity Models
- 2M. Tsarkov Generalization of Multivariate Sample Selection Models to the Case of Several Target Equations
Courses (2024/2025)
- Machine Learning for Economics Research (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 2 year, 2 module)Rus
- Machine Learning for Economics Research (Mago-Lego; 2 module)Rus
- Machine Learning in Economics (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 4 module)Rus
- Machine Learning in Economics (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 3 module)Rus
- Models With Qualitative Dependent Variables (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics, field of study Economics; 1 year, 4 module)Rus
- Models With Qualitative Dependent Variables (Mago-Lego; 4 module)Rus
- Probabilities and Math Statistics 2 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Applied Mathematics and Information Science; 2 year, 3, 4 module)Rus
- Probability and Statistics 2 (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, field of study Economics; 2 year, 3, 4 module)Rus
- Quality and Limited Dependent Variables (Bachelor’s programme; Faculty of Economic Sciences; 4 year, 1, 2 module)Rus
- Past Courses
Courses (2023/2024)
- Machine Learning in Economics (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 4 module)Rus
- Models With Qualitative Dependent Variables (Mago-Lego; 4 module)Rus
- Models With Qualitative Dependent Variables (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 1 year, 4 module)Rus
- Probabilities and Math Statistics 2 (Advanced course) (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, field of study Economics; 2 year, 3, 4 module)Rus
- Probability Theory and Statistics (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 1-3 module)Rus
- Probability and Statistics 2 (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 3, 4 module)Rus
- Quality and Limited Dependent Variables (Bachelor’s programme; Faculty of Economic Sciences; 4 year, 1, 2 module)Rus
Courses (2022/2023)
- Microeconometrics (Master’s programme; Faculty of Economic Sciences; 2 year, 1 module)Rus
- Microeconometrics (Optional course (faculty); Faculty of Economic Sciences; 1 module)Rus
- Microeconometrics (Mago-Lego; 1 module)Rus
- Models With Qualitative Dependent Variables (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 1 year, 4 module)Rus
- Models With Qualitative Dependent Variables (Mago-Lego; 4 module)Rus
- Probability Theory and Statistics (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 1-3 module)Rus
- Quality and Limited Dependent Variables (Bachelor’s programme; Faculty of Economic Sciences; 4 year, 1, 2 module)Rus
Courses (2021/2022)
- Models With Qualitative Dependent Variables (Master’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 1 year, 4 module)Rus
- Probability Theory and Statistics (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 1-3 module)Rus
- Quality and Limited Dependent Variables (Bachelor’s programme; Faculty of Economic Sciences; 4 year, 1, 2 module)Rus
Courses (2020/2021)
- Models with Qualitative Dependent Variables (Master’s programme; Faculty of Economic Sciences; 1 year, 4 module)Rus
- Probability Theory and Statistics (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 1-4 module)Rus
- Quality and Limited Dependent Variables (Bachelor’s programme; Faculty of Economic Sciences; 4 year, 1, 2 module)Rus
- Research Project Seminar (Optional course (faculty); Faculty of Economic Sciences; 1-3 module)Rus
Conferences
- 2023
5-я Конференция «Прикладная эконометрика» (Москва). Presentation: Анализ эффективности государственного финансирования кино в России
Пятый Российский экономический конгресс (РЭК-2023) (Екатеринбург). Presentation: Анализ эффективности государственной поддержки российского кинематографа
Modern Econometric Tools and Applications – META2023 (Нижний Новгород). Presentation: Estimating returns to education in China: moderating role of gender
Modern Econometric Tools and Applications – META2023 (Нижний Новгород). Presentation: Modeling volatility of Russian stocks with sentiment analysis of news articles
- 2022
Семинар «Прикладная эконометрика» в рамках XXIII Апрельской международной научной конференции НИУ ВШЭ по проблемам развития экономики и общества (Москва). Presentation: Semiparametric modification of KHB method
- 2021
3-й семинар "Прикладная эконометрика" в рамках XXII Апрельская международная научная конференция НИУ ВШЭ по проблемам развития экономики и общества (Москва). Presentation: Influence of Investors’ Expectations on Oil Price Fluctuations
3-й семинар "Прикладная эконометрика" в рамках XXII Апрельская международная научная конференция НИУ ВШЭ по проблемам развития экономики и общества (Москва). Presentation: Estimation and Identification Analysis in Hierarchical Systems of Binary Equations
- 2020
XXI Апрельская международная конференция (Москва). Presentation: Принятие решений в условиях риска: анализ телевизионного шоу
META2020 and 2-nd Workshop “Applied Econometrics” (Пермь). Presentation: Engel curve semiparametric estimation under multivariate nonrandom selection
- 2019
XX Апрельская международная научная конференция НИУ ВШЭ (Москва). Presentation: Оценивание эффекта высшего образования на зарплату в условиях неслучайного отбора
6th International Conference on Modern Econometric Tools and Applications (Nizhny Novgorod). Presentation: Comparative Analysis of Parametric, Semi-parametric and SemiNonparametric Sample Selection Models with Application to Engel’s Curve Parameters Estimation
- 2018
XIX Апрельская международная научная конференция (Москва). Presentation: Применение многомерной иерархической свич-пробит модели для анализа дискриминации замужних женщин на российском рынке труда по данным РМЭЗ за 2016 год
XIX Апрельская международная научная конференция (Москва). Presentation: Оценка влияние типа политического режима на приток прямых иностранных инвестиций при помощи многомерной свич-пробит модели с фиксированными эффектами
XIX Апрельская международная научная конференция (Москва). Presentation: Обобщение метода Хекмана на случай произвольного числа уравнений отбора
V Mеждународная конференция «Modern Econometric Tools and Applications – META2018» (Нижний Новогород). Presentation: Estimating the effect of marriage on male wages