Макеева Наталья Михайловна

Responsibilities

Responsibilities:

research activities
participation in research seminars
statistical reports preparation
data visualization, model development
work with scientific research papers

Laboratory Research topics:

2023-2024: "Dynamic Models Toolkit Development to Reflect Institutional and Technological Changes in the Russian Economy"

2022: "Institutional and Technological Reflection Changes within the Dynamic Macrostructural Model Framework of the Russian Economy"

2021: "Taking into Account the Sectoral and Territorial Heterogeneity of the Russian Economy when Modeling its Dynamics"

2020: "Identification of Potential Structural Sources of the Russian Economy Growth"

Education

2022

Master's in Economics
HSE University

2020

Bachelor's in Economics
HSE University

Professional Interests

nowcasting mathematical economics mathematical modeling of economic processes time series analysis mathematical modeling of economic mechanisms

Awards and Accomplishments

Best Teacher — 2023–2025

Courses (2025/2026)

Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences field of study Economics; 1 year, 1, 2 module)Rus
Econometrics (Advanced Level) (Mago-Lego; Faculty of Economic Sciences; 1, 2 module)Rus
Past Courses

Timetable for today

Full timetable

Conferences

2023
XXIV Ясинская (Апрельская) международная конференция по проблемам развития экономики и общества (Москва). Presentation: Наукастинг элементов использования ВВП России с учётом анализа новостного фона
Пятый Российский экономический конгресс (РЭК-2023) (Екатеринбург). Presentation: Наукастинг элементов использования ВВП России с учётом анализа новостного фона
Научный семинар ЦЭМИ "Прикладная статистика и моделирование реальных процессов" (Москва). Presentation: Наукастинг макроэкономических показателей экономики России на основе анализа новостного фона

Employment history

Feb'2023 – precent: Junior Researcher, Research and Educational Laboratory of Russian Economy Macrostructural Modelling, Faculty of Economic Sciences, National Research University Higher School of Economics

Dec'2023 – present: Team Lead, Technology Block, Corporate Investment Business, PJSC Sberbank

Sep'2022 – precent: Lecturer, Faculty of Economic Sciences, National Research University Higher School of Economics

Jul'2021 – Nov'2023: Lead Business Analyst, Technology Block, Corporate Investment Business, PJSC Sberbank

Feb'2020 – Dec'2022: Researcher, Research and Educational Laboratory of Russian Economy Macrostructural Modelling, Faculty of Economic Sciences, National Research University Higher School of Economics

Dec'2018 – Jul'2021: Business Analyst, Product Development, FX Department, PJSC Moscow Exchange

Jun-Dec'2018: Junior Analyst, Product Development, FX Department, PJSC Moscow Exchange

Sep'2017 – Aug'2022: Teaching Assistant, Faculty of Economic Sciences, National Research University Higher School of Economics::

Econometrics
Econometrics (Advanced level)
Mathematical analysis
Microeconomics-1
Economic demographics

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.

Natalia Makeeva