Applied Econometrics

Aims & Scope

The journal publishes papers in the fields of theoretical and applied econometrics and statistics.

Applied Econometrics publishes papers (in Russian or in English) on the econometric analysis of socio-economic and financial processes and systems, the problems of education, tutorial materials on econometric methods and their practical applications.

In particular, the articles focus on theoretical, methodological and practical issues in the areas of: optimal management decisions at the level of companies, banks, federal and regional authorities; optimal solutions for financial markets; the efficient application of econometric methods in marketing, analysis and forecasting of consumer demand; the use of modern software packages for Econometrics and Applied Statistics; the contents and the teaching methodologies for econometrics and applied statistics in universities.

The journal is directed towards researchers, professors, PhD students and students who are interested in methods and applications of econometrics and applied statistics, as well as specialists in quantitative departments of banks and companies, sociologists, political scientists, marketing analysts, managers, etc.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.182

Quartile

Year	Value
2024	Q3

Journal Rank

Year	Value
2024	22334

Journal Citation Indicator

Year	Value
2024	42

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Economics, Econometrics and Finance, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries

  Citation: 16

  Authors: D.

• Is income inequality fair in Russia? Inequality of opportunity and income inequality

  Citation: 7

  Authors: M., P.

• The CARR-volatility connectedness between USD/TRY and foreign banks in Turkey: Evidence by TVP-VAR

  Citation: 4

  Authors: Yakup

• Quantifying heterogeneity in the relationship between R&D intensity and growth at innovative Japanese firms: A quantile regression approach

  Citation: 4

  Authors: Galina, Richard, Sergei

• Evaluation of permanent and transitory shocks role in consumption and income dynamics in the Russian Federation

  Citation: 4

  Authors: P., A.

• Forecasting daily spot prices in the Russian electricity market with the ARFIMA model

  Citation: 4

  Authors: Y.

• Stock market and cryptocurrency market volatility

  Citation: 3

  Authors: Vyacheslav, Anatoly, Polina

• Electricity consumption forecasting for integrated power system with seasonal patterns

  Citation: 3

  Authors: A., A., E.

• On the applicability of dynamic factor models for forecasting real GDP growth in Armenia

  Citation: 3

  Authors: K., R.

• Estimating intertemporal elasticity of substitution of labor supply for married women in Russia

  Citation: 3

  Authors: Alexey, Andrey

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