Empirical Economics

Aims & Scope

Empirical Economics publishes high quality papers using econometric or statistical methods to fill the gap between economic theory and observed data.

Papers explore such topics as estimation of established relationships between economic variables, testing of hypotheses derived from economic theory, treatment effect estimation, policy evaluation, simulation, forecasting, as well as econometric methods and measurement.

Empirical Economics emphasizes the replicability of empirical results.

Replication studies of important results in the literature - both positive and negative results - may be published as short papers in Empirical Economics.

Authors of all accepted papers and replications are required to submit all data and codes prior to publication (for more details, see: Instructions for Authors).

The journal follows a single blind review procedure.

In order to ensure the high quality of the journal and an efficient editorial process, a substantial number of submissions that have very poor chances of receiving positive reviews are routinely rejected without sending the papers for review.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.9
2024	1.90

SJR (SCImago Journal Rank)

Year	Value
2024	0.760

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	71

Journal Rank

Year	Value
2024	7251

Journal Citation Indicator

Year	Value
2024	2259

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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
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Economics, Econometrics and Finance, Mathematics and Social Sciences, 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.

• A model for technical inefficiency effects in a stochastic frontier production function for panel data

  Citation: 3507

  Authors: G. E., T. J.

• General diagnostic tests for cross-sectional dependence in panels

  Citation: 1669

  Authors: M. Hashem

• Metafrontier frameworks for the study of firm-level efficiencies and technology ratios

  Citation: 1076

  Authors: Christopher J., D. S. Prasada, George E.

• Asymmetric causality tests with an application

  Citation: 646

  Authors: Abdulnasser

• Inflation and growth: new evidence from a dynamic panel threshold analysis

  Citation: 539

  Authors: Stephanie, Alexander, Dieter

• A new approach to the decomposition of the Gini income inequality ratio

  Citation: 519

  Authors: Camilo

• A homogeneous approach to testing for Granger non-causality in heterogeneous panels

  Citation: 336

  Authors: Artūras, Yiannis, Vasilis

• Tests for cointegration with two unknown regime shifts with an application to financial market integration

  Citation: 334

  Authors: Abdulnasser

• Interaction effects in econometrics

  Citation: 324

  Authors: Hatice Ozer, Bent E.

• Improving GARCH volatility forecasts with regime-switching GARCH

  Citation: 308

  Authors: Franc

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