Spolu s o.z. SOLIM vydáva Katedra hospodárksej politiky EAPG Working Paper Series. EAPG - Economic Analysis and Policy Group - sú neformálne stretnutia učiteľov, mladých výskumných pracovníkov, študentov a ľudí z praxe, na ktorých sa diskutujú rôzne témy zo spoločenského života, ako aj výskumné práce z rôznych vedeckých oblastí. Okrem stretnutí sme sa pred pár rokmi rozhodli vydávať spolu príspevky, v ktorých by boli prezentované výsledky vlastného výskumu učiteľov a PhD. študentov. Okrem toho majú v rámci EAPG Working Paper Series možnosť publikovať výsledky výskumu vynikajúci študenti inžinierskeho štúdia. 

Názov série je: EAPG Working Paper Series

Periodicita: nepravidelne

ISSN 1338-2632

Doteraz publikované dokumenty zoradené od tých najnovších nájdete nižšie:

Číslo 12

Some notes on international transport margins in a balanced World Input-Output Tables

Lábaj, M.

Číslo 11

Optimálne pokuty za kartelové dohody: prípad Slovenska

Kališ, R. - Lábaj, M. - Zemanovičová, D.

Číslo 10

Efektívnosť regulácie v podmienkach slovenského plynárenstva

Silanič, P. - Šiškovičová, A.

Číslo 9

Technologické toky v ekonomicke Slovenska

Kubala, J.

Číslo 8

Hodnotenie eko-efektívnosti pomocou DEA modelov - dvojkroková metóda

Silanič, P.

Číslo 7

Ex-post skúmanie poklesov zametnanosti: Prípad Slovenskej a Českej republiky

Dujava, D.

Číslo 6

Štruktúrna dekompozícia emisií CO2 v Slovenskej republike

Habrman, M.

Číslo 5

Porovnanie ekonomické vývoja v SR s Rakúskom

Svoreňová, M. - Lábaj, M.

Číslo 4

Analýza zdrojov rastu a úrovne TFP v krajinách V4 a vo Fínsku

Kúšik, R. - Lábaj, M.

Číslo 3

Analýza vzťahu ekonomického rastu a nezamestnanosti

Slušná, Ľ.

Číslo 2

Postavenie dolára v medzinárodnom finančnom systéme - vybrané aspekty

Vojtková, M.

Číslo 1

Nekoklasický a keynesovský pohľad na rast ekonomiky

Dujava, D.

Crespo-Cuaresma Jesús, univ. prof. Dr., Vienna University of Economics and Business

Weiss Christoph R., univ. prof. Dr., Vienna University of Economics and Business

Biliana Yontcheva, PhD., Vienna University of Economics and Business

Halická Margaréta, doc. RNDr., CSc., Univerzita Komenského v Bratislave

Zdeněk Tomeš, prof. Ing., Ph.D., Masarykova univerzita v Brne

Martin Kvizda,Doc. Ing., Ph.D., Masarykova univerzita v Brne

Kliková Christiana, prof. Ing., CSc., TU Ostrava

Habrman Michal, Ing., PhD., Inštitút finančnej politiky - MF SR

Kubala Jozef, Ing., PhD., Inštitút finančnej politiky – MF SR

Baláž Vladimír, doc. Ing., PhD. DrSc., CSPV, Prognostický ústav SAV

Sabo Štefan, Ing., PhD., Centrum spoloč. a psychologických vied SAV

Workie Menbere Tiruneh, prof. Dr. Ing., PhD., Ekonomický ústav SAV

Silanič Peter, Ing., Mgr., PhD., Súkromný sektor

Šuster, Martin, Mgr., PhD., Národná Banka Slovenska

• We are a group of pedagogues and researchers who are curious about current economic, social, and societal issues and challenges.

• The well-being of our society plays a significant role in our research activities. We try to share our passion about economics with our students.
• Cutting-edge results and methods of the national as well as the international are implemented in our teaching.
• We provide our students with subjects which broaden and deepen their economic knowledge, improve their empirical, statistical, and data processing skills. This furnishes them with a comparative advantage, which enables them to find a job in the labor market.

Where you can find us: 4th floor, block B (old building)

Phone: +421 2 6729 1440

Management of the Department

Management of the Department

 

LÁBAJ, Martin, Assoc. Prof. Dipl. Ing., PhD.

Head of the Department

Associate Professor

4B.21 +421 2 6729 1440

Short bio:

Martin Lábaj is Professor and Head of the Department of Economic Policy at the Faculty of Economics and Finance. His research areas are development economics, economic policy, structural change, industrial organization and labor market implications of new technologies. He teaches primarily Development Economics for Bachelor students, Applied Econometrics: Policy Evaluation for Master students, and Advanced Topics in Econometrics for PhD students. In the last 10 years, he has co-authored more than a dozen articles published in refereed journals. He has published in journals such as the Cambridge Journal of Economics, Economics Letters, Economic Systems, Applied Economics, European Journal of Health Economics, Empirica, and Journal of the Economics of Ageing. He was the Principal Investigator of the MIT Slovakia Seed Fund project Labor Market Implications of Automation in the United States and the EU (co-led by Daron Acemoglu), which established a new research collaboration between the MIT faculty and the Department of Economic Policy in this area of research.

 

Short bio:

Martin Lábaj is Professor and Head of the Department of Economic Policy at the Faculty of Economics and Finance. His research areas are development economics, economic policy, structural change, industrial organization and labor market implications of new technologies. He teaches primarily Development Economics for Bachelor students, Applied Econometrics: Policy Evaluation for Master students, and Advanced Topics in Econometrics for PhD students. In the last 10 years, he has co-authored more than a dozen articles published in refereed journals. He has published in journals such as the Cambridge Journal of Economics, Economics Letters, Economic Systems, Applied Economics, European Journal of Health Economics, Empirica, and Journal of the Economics of Ageing. He was the Principal Investigator of the MIT Slovakia Seed Fund project Labor Market Implications of Automation in the United States and the EU (co-led by Daron Acemoglu), which established a new research collaboration between the MIT faculty and the Department of Economic Policy in this area of research.

 

KALIŠ, Richard, Dipl. Ing., PhD.

Secretary of the Department

Assistant Professor

4B.12 +421 2 6729 1412

 

JÁGERSKÁ, Júlia

Secretary

4B.23 +421 2 6729 1440

 

Najnovšie metódy pre rozhodnutia a politiky založené na údajoch - jasne a zrozumiteľne

Osvojíte si vedomosti o moderných metódach výskumného dizajnu pre odhad kauzálnych efektov opatrení, programov a politík.

Získate pokročilé zručnosti pre používanie moderných softvérov (napr. Stata) v empirickom ekonomickom výskume, naučíte sa skripty, programovať pokročilejšie analýzy.

Naučíte sa formulovať ekonomický problém a navrhnúť výskumný dizajn pre jeho preskúmanie prostredníctvom empirickej analýzy, formulovať hypotézy a analyticky ich potvrdiť alebo vyvrátiť.

Vyučujúci:

Martin Lábaj, Erika Majzlíková

Predpoklady: aspoň jeden semester ekonometrie

Zaradenie v študijných programoch: povinný predmet št. programu Aplikovaná ekonómia (2.st), výberový predmet št. programu Ekonómia (3.st)

Stručná osnova:

• Základné pojmy, napr. kauzalita, skreslenie, ceteris paribus.
• Výskumný dizajn, indentifikačné stratégie, estimátor.
• Znáhodnené kontrolované experimenty.
• Regresia s viacerými kontrolnými premennými.
• Skreslenie spôsobené vynechaním premennej.
• Inštrumentálne premenné.
• IV estimátor a dvojstupňová metóda najmenších štvorcov.
• Regresia diskontinuitných zmien.
• Diff-in-Diff estimátor.
• Odhady na spojených prierezových údajoch a panelových údajoch pre hodnotenie efektov politík.
• Metóda syntetických kontrolných skupín.
• Neštandardné štandardné chyby

Odporúčaná literatúra:

Cunningham, S., 2021. Causal inference: The mixtape. Yale University Press.

Angrist, J.D. and Pischke, J.S., 2014. Mastering'metrics: The path from cause to effect. Princeton University Press.

Wooldridge, J.M., 2016. Introductory econometrics: A modern approach. Nelson Education.

Angrist, J.D. and Pischke, J.S., 2008. Mostly harmless econometrics: An empiricist's companion. Princeton university press.

Abstract

This paper examines the impact of robotisation on workplace safety in EU manufacturing sectors between 2011 and 2019. To address endogeneity concerns, we employ an instrumental variable approach and find that robot adoption reduces both injuries and fatalities. Specifically, a 10% increase in robot adoption is associated with a 0.066% reduction in fatalities and a 1.96% decrease in injuries. Our findings highlight the context-dependent nature of these effects. The safety benefits of robotisation materialise only in high-tech sectors and in countries where industrial relations provide strong worker protections. In contrast, in traditional industries and countries with weaker institutional frameworks, these benefits remain largely unrealised. The results are robust to several sensitivity tests.

Abstract

Over the past four decades, automation technologies have replaced routine tasks performed by medium-skilled workers, and contributed to increased labor market polarization. With the advent of artificial intelligence, this dynamic may have shifted, extending task substitution to non-routine tasks performed by high-skilled workers. Using textual analysis and descriptions of technology found in patent texts, we construct novel occupational exposures to robot and artificial intelligence technologies. These occupational exposures are then used to analyze changes in labor and skill demand over the last decade in the United Kingdom. We find that the middle part of the income distribution is primarily exposed to robot technology, while exposure to artificial intelligence increases monotonically across income percentiles. Second, we find that exposure to robots is strongest among high school dropouts and declines monotonically with education, while artificial intelligence automation has a limited impact on the same workers, with a pronounced exposure among college graduates. Third, our findings suggest asymmetric effects of automation technologies across skill groups. Robot automation reduces demand for low-skilled workers, while AI technology shifts demand away from high-skilled workers, with the direct effects consistently negative despite the presence of several compensating mechanisms. Finally, a joint estimation of the effects of robot and AI automation shows that robot automation is positively associated with an increase in demand for skilled workers, while AI automation is weakly associated with a decrease in demand for skilled workers. These patterns indicate structural changes in the labor market, with important implications for wage inequality and the future of work.

Abstract

What are the environmental impacts of the increasing use of automation technologies? To answer this question, we propose a model of production in the age of automation that incorporates emission externalities. We derive a threshold condition subject to which the use of industrial robots affects emissions. This model leads to three testable predictions, i) the use of industrial robots causes higher emissions on average, ii) with increasing efficiency of industrial robots, the effect becomes weaker and could turn negative, and iii) in countries in which electricity is predominantly produced using (clean) renewable energy, industrial robot use has the potential of decreasing emissions. Empirically, we find support for the theoretical hypotheses implying that the effect of automation on emissions is non-linear or moderated by other variables.