Experts of the Gaidar Institute took part in the “Lomonosov Readings-2024” Conference

On April 18, 2024, research associates of the Gaidar Institute’s Department of Mathematical Modeling of Economic Processes -- Tatyana Ivakhnenko, Elizaveta Martyanova, Anna Maigur and Angelina Shpilevaya -- took part in the Lomonosov Readings-2024 annual conference dedicated to the topic: “Russia’s Human and Social Capital: New Challenges and Opportunities."

Tatyana Ivakhnenko delivered a report on assessing the impact of the complexity of regional economies on the level of intraregional income inequality in Russia. The report presented the research methodology, described the mechanisms of influence of the level of economic complexity on the extent of income-based stratification of the population and also presented the results of assessing this effect in Russia’ regions.

Elizaveta Martyanova made a presentation on the topic: “A Scenario-Based Assessment of the Macroeconomic Effects of Progressive Taxation in the Russian Federation.” In her report, Elizaveta Martyanova presented quantitative estimates of the impact of progressive taxation on macroeconomic indicators.

In her report on predicting the length of unemployment with the use of machine learning techniques, Anna Maigur presented the results of constructing machine learning models for predicting the length of individual unemployment.

Angelina Shpilevaya delivered a report on “The OLG-model with Heterogeneous Preferences and Learning Abilities for Analyzing the Policy in the Field of Higher Education.” It was noted in the report that when carrying out a government policy in the field of education, it is important to take into account the heterogeneity of individuals in terms of such parameters as risk tolerance, discount rate and learning ability because the response of individuals to incentives will depend on their individual characteristics, determining the effectiveness of the policy.