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22 – 29 July 2020 Bratislava

Economics
Summer School
2020

The most important economics training event of the summer in Slovakia

Economics Summer School

The best way to meet with leading specialist in the field



About Economics Summer School

Economics Summer School (ESS) 2020 is an extraordinary training event in Slovakia. ESS is a unique combination of learning and debating economics issues including engaging social frame. Over the course of few days, you will have a chance to interact with academics and guest speakers, and take part in social discussions.

ESS 2020 runs from 22 - 29 July in Bratislava, the capital city of Slovakia.

At the ESS, participants will be debating and discussing economics topics with cutting – edge thinking academics, including Barbora Šedová, Ivan Sekaj, Marek Šuppa, Igor Farkaš a Dominik Sopiak. Our keynote speaker will be Michal Horváth.

It will be an amazing opportunity to learn more and expand knowledge of economics.

Graduate and post-graduate students may also join the discussions about the latest developments in theories and applied sciences face-to-face with distinguished specialists from around the world.

Econometric Methods for (Policy) Impact Analysis
  • Regression discontinuity design
  • Panel data & differences-in-differences
  • Matching
Machine Learning
  • Overview and feedforward neural networks
  • Unsupervised and recurrenet neural networks
  • Introduction to computational intelligence and optimisation methods
Social programme

...in progress. We are finding possibilities according to raising the Covid-19 situation.

Lecturers



Igor Farkaš

Igor Farkaš

Head of the Department of Applied Informatics and the Cognition and Neural Computation research group, coordinator of the Centre for Cognitive Science at the Faculty of Mathematics, Physics and Informatics of Comenius University in Bratislava

More info...

Barbora Šedová

Barbora Šedová

(Co-)Leader of the Future Lab - Security, Ethnic Conflicts and Migration at the Potsdam Institute for Climate Impact Research

More info...

Ivan Sekaj

Ivan Sekaj

Head of the Department of Artificial Intelligence and professor on the Institute of Robotics and Cybernetics of the Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

More info...

Marek Šuppa

Marek Šuppa

Lecturer on Machine Learning and Natural Language Processing at the Faculty of Mathematics, Physics and Informatics

More info...

Dominik Sopiak

Dominik Sopiak

Researcher in the area of Computer Vision, Biometrics, Image Processing and Machine Learning and University Teacher on the Institute of Information Engineering, Automation and Mathematics, Slovak University of Technology in Bratislava.

More info...

Programme

22 – 29 July 2020


Part I: Econometric Methods for (Policy) Impact Analysis

22 – 24 July 2020

The aim of this course is to familiarise participants with the main econometric methods currently applied in policy impact analysis. The course begins with a discussion of the concept of causal inference, which lies at the core of any statistical impact analysis. The course further covers three important statistical methods for estimating causal effects: (i) regression discontinuity design, (ii) differences-in-differences, and (iii) matching.
These methods are designed to reproduce randomised experiments using available data. Each method has its advantages and disadvantages and can only be used under specific conditions. The course discusses the appropriate application of the methods, introduces some practical examples and covers exercises in Stata. The aim is to provide participants with sufficient technical and practical knowledge to enable them to carry out simple impact assessment studies on their own. The course is intended for analysts, researchers, as well as students with basic knowledge of econometric methods and a good command of English.

Part II: Machine Learning

27 – 29 July 2020

The goal of this part of the course is to provide conceptual introduction to various methods that belong to machine learning and optimisation approaches, the two fields that share some features and differ in others. Machine learning has become extremely popular in the last decade, especially thanks to remarkable achievements of deep learning. But computational intelligence methods in general have proven successful in solving various complex tasks. All topics will be presented at a slightly technical level, combined with practical examples, aiming to facilitate understanding.

09:10 - 10:30
Introduction

Evidence-based policy making Causal inference Refresher of basic statistical concepts Randomisation Experiments vs. quasi-experiments

Barbora Šedová
17.30 – 18:00
Recap

Barbora Šedová

Course Fee

The number of participants is limited, application deadline: 26 June 2020



Professional
300
  • Inculed VAT 20 %
  • Lectures
  • Refreshments
Apply Now
Student
120
  • Inculed VAT 20 %
  • Lectures
  • Refreshments
Apply Now

Apply for the
Economics Summer School 2020
right now!

Be part of a unique event, advance your education and enjoy the summer at the same time!



Apply now

Organisers

The event is organised by the Institute of Banking Education NBS, n.o.
under the supervision of the Programme committee



Ľudovít Ódor

Ľudovít Ódor

Deputy Governor of National Bank of Slovakia; former member of the Council for Budget Responsibility, Deputy Chair of Network of EU Independent Fiscal Institutions and Visiting Professor at the Central European

More info...

Michal Horváth

Michal Horváth

Head of Economic and Monetary Analysis (Chief Economist), National Bank of Slovakia

More info...

Martin Šuster

Martin Šuster

Director of Research Department, National Bank of Slovakia (central bank)

More info...

Venue