Elena Semerikova

Personal Details

First Name:	Elena
Middle Name:
Last Name:	Semerikova
Suffix:
RePEc Short-ID:	pse478
	[This author has chosen not to make the email address public]
Terminal Degree:	Department of Applied Economics; Faculty of Economics; National Research University Higher School of Economics (HSE) (from RePEc Genealogy)

Affiliation

Faculty of Economics
National Research University Higher School of Economics (HSE)

Moscow, Russia
http://economics.hse.ru/
RePEc:edi:fehseru (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

Sorry, no citations of working papers recorded.

Articles

1. Elena Semerikova & Andreas Nastansky & Anastasia Blokhina, 2022. "Convergence in German Regional Housing Markets," HSE Economic Journal, National Research University Higher School of Economics, vol. 26(1), pages 120-144.

   Cited by:

   1. Rajesh Raj & Rath D.P., 2022. "House Price Convergence: Evidence from India [Convergence des prix des logements : le cas indien]," Working papers 893, Banque de France.

2. Semerikova, Elena & Demidova, Olga, 2016. "Using spatial econometric models for regional unemployment forecasting," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 29-51.

   Cited by:

   1. M. E. Baskakova & V. N. Baskakov & E. A. Yanenko, 2022. "Medium-Term Forecast of Government Spending on the Unemployment Social Protection System in Russia in the Conditions of Economic Recession," Studies on Russian Economic Development, Springer, vol. 33(1), pages 45-54, February.
   2. Aistov, Andrey & Nikolaeva, Tatiana, 2019. "Tourism-led growth hypothesis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 5-24.
   3. Natalia Larionova & Julia Varlamova & Julia Kolesnikova, 2021. "Does Digitalization Reduce Electricity Consumption? Evidence from Spatial Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 413-419.

3. Elena Vyacheslavovna Semerikova & Olga Anatolyevna Demidova, 2015. "Analysis of Regional Unemployment in Russia and Germany: Spatial-Econometric Approach," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 2, pages 64-85.

   Cited by:

   1. Демидова Ольга Анатольевна & Иванов Денис Сергеевич, 2016. "Модели Экономического Роста С Неоднородными Пространственными Эффектами (На Примере Российских Регионов)," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(1), pages 52-75.
   2. Demidova, Olga, 2021. "Methods of spatial econometrics and evaluation of government programs effectiveness," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 107-134.
   3. Lyashok, V. & Roshchin, S., 2017. "Young and Older Workers in the Russian Labor Market: Are They Competitors?," Journal of the New Economic Association, New Economic Association, vol. 33(1), pages 117-140.
   4. Demidova, Olga & Kolyagina, Alena & Pastore, Francesco, 2020. "Marshallian vs Jacobs effects: Which is stronger? Evidence for Russia unemployment dynamics," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 244-258.

Chapters

1. Elena Semerikova, 2015. "Spatial Patterns of German Labor Market: Panel Data Analysis of Regional Unemployment," AIEL Series in Labour Economics, in: Chiara Mussida & Francesco Pastore (ed.), Geographical Labor Market Imbalances. Recent Explanations and Cures, edition 1, chapter 3, pages 37-64, AIEL - Associazione Italiana Economisti del Lavoro.
   • Elena Semerikova, 2015. "Spatial Patterns of German Labor Market: Panel Data Analysis of Regional Unemployment," AIEL Series in Labour Economics, in: Chiara Mussida & Francesco Pastore (ed.), Geographical Labor Market Imbalances, edition 127, chapter 0, pages 37-64, Springer.

   Cited by:

   1. Herrera Gomez Marcos & Fernández Pablo, 2023. "Regresiones SUR Espaciales. Análisis espacio-temporal del empleo sectorial en Argentina," Asociación Argentina de Economía Política: Working Papers 4660, Asociación Argentina de Economía Política.
      • Pablo Fernández & Marcos Herrera Gómez, 2023. "Regresiones SUR Espaciales. Análisis Espacio-temporal del Empleo Sectorial en Argentina," Working Papers 279, Red Nacional de Investigadores en Economía (RedNIE).
   2. Roberto Basile & Alessandro Girardi & Marianna Mantuano & Giuseppe Russo, 2016. "Interregional Migration, Human Capital Externalities and Unemployment Dynamics: Evidence from Italian Provinces," CSEF Working Papers 460, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
      • Basile, Roberto & Girardi, Alessandro & Mantuano, Marianna & Russo, Giuseppe, 2017. "Interregional Migration, Human Capital Externalities and Unemployment Dynamics: Evidence from Italian Provinces," EconStor Preprints 168560, ZBW - Leibniz Information Centre for Economics.
   3. Laura Helena KIVI & Tiiu PAAS, 2021. "Spatial interactions of employment in European labour markets," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 12, pages 196-211, August.
   4. Laura Helena Kivi, 2019. "Spatial Interactions Of Regional Labour Markets In Europe," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 116, Faculty of Economics and Business Administration, University of Tartu (Estonia).

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-CIS: Confederation of Independent States (2) 2020-02-10 2020-02-17
2. NEP-GEO: Economic Geography (2) 2020-02-10 2020-02-17
3. NEP-URE: Urban and Real Estate Economics (2) 2020-02-10 2020-02-17
4. NEP-LAB: Labour Economics (1) 2020-02-10
5. NEP-MIG: Economics of Human Migration (1) 2020-02-10
6. NEP-TRA: Transition Economics (1) 2020-02-10

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