An Advanced Econometrics Striving for Causality professional development course was held at HSE University - Perm
The International Laboratory of Intangible-driven Economy at HSE University conducted a professional development course titled "Advanced Econometrics: Striving for Causality" as part of the "International Academic Cooperation" project. The course was held online from September 24 to October 22, 2025, and consisted of ten academic sessions distributed over six weeks of intensive training.
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The International Laboratory of Intangible-driven Economy at HSE University conducted a professional development course titled "Advanced Econometrics: Striving for Causality" as part of the "International Academic Cooperation" project. The course was held online from September 24 to October 22, 2025, and consisted of ten academic sessions distributed over six weeks of intensive training.
The instructor for the course was Elena Shakina (Rapoport), a Leading Research Fellow at the International Laboratory of Intangible-driven Economy of HSE University.
The primary goal of the course was to introduce participants to modern econometric methods that allow not only for identifying correlations but also for establishing causal relationships in empirical socio-economic research. During the course, participants explored key tools of causal analysis, including:
- Difference-in-Differences (DiD)
- Regression Discontinuity Design (RDD)
- Synthetic Control Method (SCM)
- and others
The course was successfully completed by over 20 participants, including staff from the HSE University in Perm, as well as students and postgraduate researchers from the Iran University of Science and Technology and the University of Vigo (Spain).
High-quality research in economics and management is impossible without modern methods for evaluating treatment effects. A "treatment" can be anything from state support to the imposition of sanctions, or any other external intervention affecting companies, the impact of which must be accurately assessed while accounting for counterfactual conditions.
A company's internationalization success can also depend on its internal decisions, which shape its competitive advantages. Evaluating the effects of such decisions also requires specific methods that can account for hypothetical "what if" scenarios—specifically, what would have happened if the decision had not been made.
The International Academic Cooperation (MAC) project team is dedicated to studying these very methods of modern econometrics. Mastering methods such as the Synthetic Control Method, Sharp RDD, and Fuzzy RDD in depth will equip project participants with the ability to identify the effects of both external shocks and internal corporate decisions, thereby facilitating the company's successful expansion into international markets.
The professional development course "Advanced Econometrics: Striving for Causality" was organized as part of the Joint Basic Research Program " International Academic cooperation".