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Empirical Economics

Journal of the Institute for Advanced Studies, Vienna, Austria

Publishing model:

Overview

Empirical Economics publishes high-quality papers that apply advanced econometric or statistical methods to confront economic theory with observed data.

  • Exemplary topics are treatment effect estimation, policy evaluation, forecasting, and econometric methods.
  • Contributions may focus on the estimation of established relationships between economic variables or on the testing of hypotheses.
  • Emphasizes the replicability of empirical results: replication studies may be published as short papers.
  • Follows a single-blind review procedure (authors’ names are known to reviewers, but reviewers are anonymous to authors). 
  • Submissions that have poor chances of receiving positive reviews are routinely rejected without sending the papers for review.

Coordinating Editor
  • Robert M. Kunst
Editors
  • Bertrand Candelon
  • Subal C. Kumbhakar
  • Christopher F. F. Parmeter
  • Arthur H. O. van Soest
  • Joakim Westerlund

Societies and partnerships

Journal metrics

Journal Impact Factor
1.9 (2024)
5-year Journal Impact Factor
2.6 (2024)
Submission to first decision (median)
61 days
Downloads
694.9k (2025)

Call for papers

Latest articles

Journal updates

Journal information

Electronic ISSN
1435-8921
Print ISSN
0377-7332
Abstracted and indexed in
  1. ABS Academic Journal Quality Guide
  2. ANVUR
  3. Australian Business Deans Council (ABDC) Journal Quality List
  4. BFI List
  5. Baidu
  6. CLOCKSS
  7. CNKI
  8. CNPIEC
  9. Chinese Academy of Medical Science (CAMS)
  10. Dimensions
  11. EBSCO
  12. ECONIS
  13. EconLit
  14. Engineering Village – GEOBASE
  15. Google Scholar
  16. Japanese Science and Technology Agency (JST)
  17. Naver
  18. Norwegian Register for Scientific Journals and Series
  19. OCLC WorldCat Discovery Service
  20. Ovid Discovery
  21. Portico
  22. ProQuest
  23. Research Papers in Economics (RePEc)
  24. SCImago
  25. SCOPUS
  26. Social Science Citation Index
  27. TD Net Discovery Service
  28. Wanfang
  29. eLibrary.ru
© Springer-Verlag GmbH Germany, part of Springer Nature

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