The list of national projects SAS
Institute of Economic Research
Applying machine learning methods to support labour market policy making
Aplikácie metód strojového učenia na podporu tvorby politík trhu práce
| Duration: |
1.7.2022 - 30.6.2026 |
| Program: |
SRDA |
| Project leader: |
Mgr. Štefánik Miroslav PhD. |
| Annotation: | The project's central aim is to explore new options opened by the recent advancement of machine learning (ML) research. We consider two suitable data applications of ML techniques: i. impact evaluation of active labour market policies (ALMP) using administrative data of registered job seekers, ii online job search data analysis. Members of the research team have experience in both these data contexts, documented by publications, projects participation, and underlined by the interest of external project partners: Institute of Financial Policy (IFP) and an online job-advertisement company - Profesia. Under the first objective, we plan to apply ML techniques in the impact evaluation of Slovak ALMPs. For this purpose, in cooperation with IFP, we will develop a cleaned and documented evaluation dataset. The annually updated evaluation dataset will serve as a base in generating particular evaluation studies. Particular evaluation studies will benefit from a methodological activity focused on adjusting and applying new ML techniques for the Slovak data context. In this respect, we can build on the current cooperation of the research team. The project's second objective aims to explore the potential of big, online data in forecasting socio-economic development. More specifically, Profesia is interested in utilising the information on the total number of registered job vacancy postings in predicting labour market indicators, such as the unemployment rate or the total employment. We plan to propose the most favourable design of such a forecasting model. Moreover, we explore additional, freely available online data sources (e.g. Google search trends) and their potential in improving the prediction. Finally, having access to online job vacancy data, we aim to explore their further utilisation in social research. Building on an already rich list of studies using data collected by Profesia, we extend our interest more in the depth of the content of the online job vacancy postings. |
Flexibility in the structure of the economy and environmental change: challenges for cities and companies
Flexibilita štruktúry ekonomiky a environmentálne zmeny: výzvy pre mestá a firmy
Evaluation the dynamics and nature of changes in the Slovak economy in a rapidly changing external environment
Hodnotenie dynamiky a charakteru zmien v slovenskej ekonomike v prudko sa meniacom externom prostredí
| Duration: |
1.1.2023 - 31.12.2026 |
| Program: |
VEGA |
| Project leader: |
Ing. Jeck Tomáš PhD. |
| Annotation: | The Slovak economy has recently been exposed to unprecedented external shocks that fundamentally affect its current and future development. The effects of the pandemic and the war conflict in Ukraine have triggered the need to respond to the new reality at the Slovak and European level. The problem of stagnating productivity and the loss of traditional competitiveness (in the form of low unit labour costs) in the post-Covid era calls for a new understanding of economic policy that better links the promotion of productivity with human development. In this context, new challenges arise for public policies, particularly in the areas of the labour market (demographic challenges, migration), external economic relations, public budgets, science, research and innovation, not only domestically but also in relation to European policies and continued integration. The project is therefore aimed at exploring the dynamics and nature of these changes in the Slovak economy in a rapidly changing external environment. |
Hybrid modelling system for regional policy evaluation: regional, industry and labour effects
Hybridný systém modelov na podporu regionálnych politík: dopady na regióny, odvetvia a zamestnanosť
Causality and machine learning in econometric models
Kauzalita a strojové učenie v ekonometrických modeloch
| Duration: |
1.1.2023 - 31.12.2025 |
| Program: |
VEGA |
| Project leader: |
Mgr. Štefánik Miroslav PhD. |
| Annotation: | A growing body of current research deals with addressing causal questions using algorithms of machine learning.
This project aims to study causal inference questions within econometric models while leveraging the prediction performance of machine learning algorithms. The project will also make the methods more accessible to practitioners.
While the team will remain open to examine various problems on the topic, there are some more concrete ideas that could be explored. More concretely, the project will attempt to:
–study causal structure of econometric models in an algorithmic way,
–explore diagnostic tools that could inform about how appropriate the model assumptions are and how sensitive the results are to violation of identifying assumptions
–apply the existing methods to make use of high-dimensional data to study employment prospects of registered Slovak job-seekers and the effects of various programmes on both employment and wages. |
Convergence and polarization in the world economy
Konvergencia a polarizícia vo svetovej ekonomike
| Duration: |
1.1.2023 - 31.12.2026 |
| Program: |
VEGA |
| Project leader: |
Ing. Hošoff Boris PhD. |
| Annotation: | The world economy has undergone a major transformation in the last decade, characterized by an intensification of the interaction of several long-term trends at the same time. In recent years, the changes brought about by the Covid-19 pandemic and the effects of military conflicts have added to the trends of climate change and population ageing. The responsible authorities are reacting on this development by investing heavily and adapting economic strategies to improve resilience of economies and the balance of development. The project proposal is based on the need to update knowledge and major trends in real convergence, identifying endogenous and exogenous determinants that have fundamentally marked this process in the last decade, while focusing on those factors that affect GDP per capita convergence and minimize the negative effects of income polarization. |
Methodological and Empirical Aspects of Subjective Welfare Measurement
Metodické a empirické aspekty merania subjektívneho blahobytu
| Duration: |
1.1.2023 - 31.12.2026 |
| Program: |
VEGA |
| Project leader: |
doc. Ing. Pauhofová Iveta CSc. |
| Annotation: | The perceptions of individuals are an essential component of the complex perspective of a country’s socio-economic profile, and ultimately they comprise an essential element when forming social policies. Ignoring the subjective dimension of welfare hence suggests that people’s perceptions of their economic welfare is relatively unconsidered in policy development. The main scientific goal of the project is to propose novel approaches to estimating subjective poverty lines and to examine trends in subjective welfare in the context of broader socio-economic changes in the European Union. This project will contribute to the ongoing research in the field of subjective welfare and subjective well-being in numerous important ways. Among others, it will make contributions to the field of subjective poverty measurement, and it will to the field provide new empirical evidence on subjective poverty and associated phenomena in Europe. |
Micro macro modeling in Slovak conditions
Mikro makro modelovanie v slovenských podmienkach
Illicit capital flows and external macroeconomic imbalances
Nelegitímne toky kapitálu a externé makroekonomické nerovnováhy
Transition from high to low dependence on public transfers in old age: can the multi-pillar pension system handle the negative consequences of population ageing?
Od vysokej k nízkej závislosti na verejných transferoch v starobe: dokáže viacpilierový dôchodkový systém zvládnuť negatívne následky starnutia populácie?
Bootstrap Based Empirical Joint Prediction Regions for Path Forecasts
Odhad združených predikčných intervalov pomocou bootstrapu
Follow the Money - Deciphering the Link between Shadow Banking Sector and the Illicit Financial Flows
Sledovať peniaze - Rozšifrovanie väzby medzi sektorom tieňového bankovníctva a nelegitímnymi finančnými tokmi
The Role of Exchange Rate Channel in the Transmission of Monetary Policy: The Case of Standard and Non-standard Monetary Policies
Úloha devízového kanála pri transmisii menovej politiky: Prípad štandardnej a neštandardnej menovej politiky
| Duration: |
1.1.2023 - 31.12.2025 |
| Program: |
Other projects |
| Project leader: |
Ing. Fišera Boris PhD. |
| Annotation: | The primary objective of this project is to empirically investigate the role of the exchange rate channel in the transmission of monetary policy. Despite the importance of the exchange rate channel in the transmission of monetary policy even in larger economies, this topic remains understudied, particularly for the Euro Area (EA). The project focuses primarily on the EA, but has wider international implications. The project is divided into three main parts. First, the project will use a novel empirical approach to estimate what the transmission of different types of standard and nonstandard monetary policies in the EA would be in the absence of the exchange rate channel. Second, the project will explore, whether the central bank being 'behind the curve' (i.e., having too restrictive or too expansionary monetary policy stance) influences the effectiveness of the monetary transmission via the exchange rate channel. Third, the project would also investigate the consequences of large central bank balance sheet accumulation (with focus on foreign exchange reserves), which is often associated with the conduct of non-standard monetary policies, for the ability of the central bank to conduct its monetary policy and thus ensure effective monetary transmission. All three activities represent a novel contribution to the empirical research in monetary economics and would thus help the policymakers with the conduct of monetary policy. All the findings will be published in field journals. |
The impact of political and economic events in the global environment on energy prices and EU energy security: implications for the Slovak Republic
Vplyv politicko-ekonomických udalostí vo svetovom prostredí na ceny energie a energeticú bezpečnosť EÚ: implikácie pre Slovenskú republiku
| Duration: |
1.1.2023 - 31.12.2026 |
| Program: |
VEGA |
| Project leader: |
prof. Ing. Obadi Saleh Mothana PhD. |
| Annotation: | Geopolitical and economic events in the global environment in recent years have significantly affected energy prices as well as the EU's energy security. The oil shocks, the global economic crisis, the ongoing and current conflict between Russia and Ukraine, the outbreak of the Covid-19 pandemic, the diversity and asynchrony of EU economic policies are all instances that have highlighted the problematic situation of energy policy and energy security of the EU, as well as energy price fluctuations. Energy, represented by energy commities is closely linked to international politics, geopolitical economy and national security, has become one of the key factors in ever-changing international relations, which has a major impact on political, economic and social stability. The research will focus primarily on identifying the effects of political and economic events in the global environment on energy prices and energy security in the European Union, with a specific focus on the implications for the Slovak Republic. |
Challenges of demographic ageing in Slovakia and possiblities to eliminate its negative impacts
Výzvy starnutia slovenskej populácie a možnosti eliminácie jeho negatívnych dopadov
The total number of projects: 15
