Projects

Hybrid modelling system for regional policy evaluation: regional, industry and labour effects

Ing. Marek Radvanský, PhD.

Members of project
Bc. Jakub Zachar, Mgr. Tomáš Miklošovič, PhD., Ing. Dávid Martinák, PhD., prof. Ing. Štefan Lyócsa, PhD., Ing. Ivan Lichner, PhD., Patrik Kupkovič, Ing. Boris Fišera, PhD.

• Basic informations
• Characteristics

• Duration of the project: 07/2021 - 12/2024
  ID number: APVV-20-0621

• Regional disparities in Slovakia belong among the highest in Europe. The main objective of the project aims to develop and apply quantitative tools supporting decision-making and analysis of regional and cohesion policies reducing regional disparities, with an emphasis on the regional labour market. The methodical part will concentrate on the transformation of existing models to a more complex framework. This new hybrid modular modelling system will provide the analytical information at the regional level of NUTS 3. A significant contribution of this project concerns forecasting a more detailed labour market development at occupation level and identifying labour market mismatch. At the same time, the modular framework will enable us to flexibly adjust the model for practical application by combining and complementing individual modules. The practical part of the project will focus on defining appropriate scenarios and providing support with real impacts on regional, labour market and educational policy preparation and implementation. This project activity continues on the long-lasting IER SAS team cooperation with the analytical units of responsible ministries (MSVaVS, MPSVaR and MIRRI). The proposed modelling system will represent one of the most advanced impact-evaluation and forecasting instruments for regional and labour market policies in Central Europe. The crucial advantage of this approach is its ability to provide, besides forecast of short-term investment effects, also structural forecast of regional labour market development that is necessary for formulation of educational policies – that makes the model a unique and universal instrument. The authors will utilize standard economic modelling approaches as well as more innovative approaches (for example, microsimulations and machine learning).