Elena V. Semerikova
- Senior Lecturer:Faculty of Economic Sciences / Department of Applied Economics
- Elena V. Semerikova has been at HSE University since 2010.
Education and Degrees
- 2017
Candidate of Sciences* (PhD)
- 2013
Master's in Economics
HSE University - 2011
Bachelor's in Economics
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.
Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Lecturers under 30" (2019-2020)
Category "Future Lecturers" (2015-2016)
Courses (2022/2023)
- Econometrics (Bachelor’s programme; International College of Economics and Finance; 3 year, 1-4 module)Eng
- Econometrics (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-4 module)Eng
- Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences; 1 year, 2, 3 module)Eng
- Econometrics (Advanced Level) (Master’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Econometrics (Advanced Level) (Master’s programme; HSE Banking Institute; 1 year, 2, 3 module)Eng
- Econometrics (Advanced Level) (Master’s programme; HSE Banking Institute; 1 year, 3 module)Eng
Econometrics (advanced level I) (Master’s programme; Faculty of Economic Sciences; field of study "38.04.08. Финансы и кредит", field of study "38.04.08. Финансы и кредит", field of study "38.04.08. Финансы и кредит", field of study "38.04.08. Финансы и кредит", field of study "38.04.01. Экономика", field of study "38.04.01. Экономика", field of study "38.04.01. Экономика"; 1 year, 1, 2 module)Eng
Econometrics (advanced level II) (Master’s programme; Faculty of Economic Sciences; field of study "38.04.08. Финансы и кредит", field of study "38.04.08. Финансы и кредит", field of study "38.04.08. Финансы и кредит", field of study "38.04.08. Финансы и кредит"; 1 year, 3, 4 module)Eng
- Econometrics (advanced level II) (Mago-Lego; 3, 4 module)Eng
- Past Courses
Courses (2021/2022)
Econometrics (Master’s programme; Faculty of Economic Sciences; field of study "38.04.01. Экономика", field of study "38.04.01. Экономика", field of study "38.04.01. Экономика"; 1 year, 1, 2 module)Rus
Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences; field of study "38.04.08. Финансы и кредит", field of study "38.04.01. Экономика", field of study "38.04.01. Экономика", field of study "38.04.01. Экономика"; 1 year, 1-4 module)Eng
- Econometrics (Advanced Level) (Master’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Econometrics (Advanced Level) (Master’s programme; HSE Banking Institute; 1 year, 2 module)Eng
- Econometrics (Advanced Level) (Master’s programme; Faculty of Economic Sciences; 1 year, 3, 4 module)Eng
- Econometrics (Advanced Level) (Master’s programme; HSE Banking Institute; 1 year, 2, 3 module)Eng
- Elements of Econometrics (Bachelor’s programme; International College of Economics and Finance; 3 year, 1-4 module)Eng
Courses (2020/2021)
- Econometrics (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1-4 module)Rus
- Econometrics (Advanced Level) (Master’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Elements of Econometrics (Bachelor’s programme; International College of Economics and Finance; 3 year, 1-4 module)Eng
- Research Project Seminar (Optional course (faculty); Faculty of Economic Sciences; 1-3 module)Rus
Courses (2019/2020)
- Advanced Econometrics (Master’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Econometrics (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1-4 module)Rus
- Practicum on Empirical Methods of Economic Analysis (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 4 module)Rus
Courses (2018/2019)
Advanced Econometrics (Master’s programme; Faculty of Economic Sciences; field of study "38.04.01. Экономика", field of study "38.04.08. Финансы и кредит"; 1 year, 1-4 module)Eng
- Advanced Econometrics (Master’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Econometrics (Bachelor’s programme; Graduate School of Business; 2 year, 4 module)Eng
Grants
2012-2013, grant Triple I for academic mobility within joint master program with Humboldt University, Berlin
Conferences
- 2019
2nd European Regional Science Association Winter School (Тренто). Presentation: Analysis of the Regional Disparities in Russia through STATIS methodology
Modern Econometric Tools and Applications – META2019 (Нижний Новгород). Presentation: Spatial Econometric Analysis of Labor Market Adjustments in Russian Regions
Modern Econometric Tools and Applications – META2019 (Нижний Новгород). Presentation: Spatial Econometric Analysis of Labor Market Adjustments in Russian Regions
- 201716th Spatial Econometrics Workshop (Авиньон). Presentation: Do Spatial Panel Data Models Help to Predict the Unemployment Level?
- 2016Modern Econometric Tools and Applications (Нижний Новгород). Presentation: Regional Unemployment in Russia: Advantages of Predictions with Spatial Panel Data models
- X World Conference Spatial Econometrics Association (SEA) (Рим). Presentation: Prediction with spatial panel data: The case of regional unemployment in Russia and Germany
- XVII Aprial International Conference on Economic and Social Development (Москва). Presentation: Predicting Regional Unemployment Level in Russia and Germany Using Spatial Panel Data Approach
- 2014XV Апрельская международная научная конференция «Модернизация экономики и общества» (Москва). Presentation: Differences in Spatial Effects Between West and East: The Case of Regional Unemployment in Germany
Publications15
- Article Caroleo F. E., Coppola G., Semerikova E. V. Analysis of the Regional Disparities in Russia through STATIS Methodology // Scienze Regionali. 2022. Vol. 21. No. 2. P. 169-198. doi
- Article Semerikova E. V., Nastansky A., Blokhina A. Convergence in German Regional Housing Markets // HSE Economic Journal. 2022. Vol. 26. No. 1. P. 120-144. doi
- Article Башенков А. П., Мясников А. А., Семерикова Е. В., Серегина С. Ф. Влияние межбюджетных трансфертов на региональные доходы // Пространственная экономика. 2022. Т. 18. № 3. С. 63-92. doi
- Article Арженовский С. В., Орлова Ю. А., Семерикова Е. В., Сидорова Е. Е. Факторы и индикаторы теневой экономики России: эмпирический анализ региональных данных // Вопросы статистики. 2022. Т. 29. № 5. С. 17-34. doi
- Preprint Semerikova E. V., Pastore F. It's the Way People Move! Labour Migration as an Adjustment Device in Russia / Institute of Labor Economics (IZA). Series 12901 "IZA Discussion Papers". 2020. No. 12901.
- Preprint Caroleo F. E., Coppola G., Semerikova E. V. A Dynamic Multivariate Method for Regional Disparities / University of Naples Parthenope. Series ISBN: 978-88-98279-07-4 "Annals of CRISEI 2018". 2018.
- Article Семерикова Е. В., Демидова О. А. Взаимодействие региональных рынков труда в России: анализ с помощью пространственных эконометрических моделей // Пространственная экономика. 2016. № 3. С. 57-80. doi
- Article Семерикова Е. В., Демидова О. А. Использование пространственных эконометрических моделей при прогнозе регионального уровня безработицы // Прикладная эконометрика. 2016. № 43. С. 29-51.
- Article Семерикова Е. В. Учет пространственной зависимости в региональных исследованиях // Горизонты экономики. 2016. № 6 (32). С. 63-67.
- Chapter Semerikova E. V. Differences in Spatial Effects Between West and East: The Case of Regional Unemployment in Germany, in: XV Апрельская международная научная конференция по проблемам развития экономики и общества: в 4-х книгах / Отв. ред.: Е. Г. Ясин. Кн. 2. М. : Издательский дом НИУ ВШЭ, 2015. P. 159-170.
- Chapter Semerikova E. V. Spatial Patterns of German Labor Market: Panel Data Analysis of Regional Unemployment, in: AIEL Series in Labour Economics: Geographical Labor Market Imbalances Geographical Labor Market Imbalances . AIEL Series in Labour Economics. Berlin : Springer, 2015. doi P. 37-64.
- Article Семерикова Е. В., Демидова О. А. Анализ региональной безработицы в России и Германии: пространственно-эконометрический подход // Пространственная экономика. 2015. № 2. С. 64-85.
- Article Семерикова Е. В. Безработица в Западной и Восточной Германии: пространственный анализ панельных данных // Прикладная эконометрика. 2014. № 35. С. 107-132.
- Chapter Демидова О. А., Семерикова Е. В. Спрос на услуги образования в России: сравнительный эконометрический анализ // В кн.: Сборник докладов годовой тематической конференции НЭА "Образование, наука и модернизация". М. : МШЭ МГУ им. М.В.Ломоносова, 2011.
- Chapter Демидова О. А., Семерикова Е. В. Эконометрический анализ расходов на услуги образования в России в 2005-2009 гг. // В кн.: Институциональные аспекты инновационных сдвигов. Материалы одиннадцатых Друкеровских чтений. М., Новочеркасск : ИД "Политехник", 2011.
Employment history
Senior Lecturer (since 2018) - Faculty of Economic Sciences, Department of Applied Economics, National Research University Higher School of Economics, Moscow
Research Assistant (2014-2015) Center for Market Studies and Spatial Economics, National Research University Higher School of Economics, Saint Petersburg
Research Assistant (2011-2012) Institute for Industrial and Market Studies, National Research University Higher School of Economics, Moscow
Academic Assistant (2010-2014) Department of Applied Economics, National Research University Higher School of Economics, Moscow
ERSA winter school
Senior lecturer of the Department of Applied Economics and doctoral student Egor Kotov have participated in the 4th ERSA Winter School on applied quantitative methods in regional science hosted by the Faculty of Economic Sciences, University of Warsaw. This school gathered 25 students from across the world.
E. Semerikova participated in RSAI World Congress
Elena Semerikova successfully gave a presentation «A Spatial Quantile Regression Analysis of Housing Prices in German Regions» at the 13th World Congress of the RSAI «Smart regions - Opportunities for sustainable development in the digital era» and held one of the sessions as a chairperson.
E. Semerikova will give a series of Lab classes during SEAI
Elena Semerikova is participating in one of the best spatial econometrics school The Spatial Econometrics Advanced Institute (SEAI) as a lecturer, our congratulations!