Станкевич Иван Павлович

Education and Degrees

2022

Candidate of Sciences* (PhD)
HSE University

2014

Master's
HSE University

2014

Master's
HSE University

2012

Bachelor's
HSE University

2012

Bachelor's
HSE University

* Candidate of Sciences
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, 2019–2020, 2015
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Lecturers" (2015–2016)
Category "Future Lecturers" (2013–2014)

* В названии ВКР упоминается Инстаграм. Instagram - запрещённая в России соцсеть.

Supervisor of the following Doctoral theses

for a Candidate of Sciences degree

1
Economic Analysis and Prediction of Road Traffic Accidents on Moscow's Highways
2
N. Makeeva Nowcasting and Short-term Forecasting of an Emerging Economy in the Face of Uncertainty

Courses (2024/2025)

Advanced Machine Learning and AI Models: Applications in Economics and Finance (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 4 year, 3 module)Rus
Econometrics 1 (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1, 2 module)Rus
Econometrics 1 (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, Economics; 3 year, 1, 2 module)Rus
Econometrics 2 (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 3, 4 module)Rus
Econometrics 2 (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, Economics; 3 year, 3, 4 module)Rus
Past Courses

Timetable for today

Full timetable

Dissertation for a Candidate of Sciences degree

2022
I. Stankevich Методы предобработки данных для использования в динамических моделях общего экономического равновесия

13

Jan

2025

Considering News Background Can Improve GDP Projections in Periods of Instability

The accuracy of Russian GDP forecasts during periods of instability improves in 45% of cases when news reports are taken into account. However, during more stable periods, this advantage nearly disappears. News provides an up-to-date view of the economy and enables quicker responses to emerging challenges. This was revealed by an analysis of over 500,000 news reports conducted by Ivan Stankevich and Natalia Makeeva of the HSE Faculty of Economic Sciences (FES), and Nikita Lyubaykin. The study results have been published in Voprosy Ekonomiki.

Ivan Stankevich

Education and Degrees

Awards and Accomplishments

Supervisor of the following Doctoral theses

Courses (2024/2025)

Courses (2023/2024)

Courses (2022/2023)

Courses (2021/2022)

Courses (2020/2021)

Timetable for today

Dissertation for a Candidate of Sciences degree

Considering News Background Can Improve GDP Projections in Periods of Instability