Berk Daş
Master's thesis
Nowcasting with Machine Learning Methods
Nowcasting with Machine Learning Methods
Abstract:
This master's thesis aims to nowcast the Czech GDP growth and compare several machine learning regression models' performances. While GDP is the most important macroeconomic indicator, there is a publication lag of around 70 days in the Czech Republic, and it is published quarterly. This publication lag hinders rapid decision-making and effective policy implementation. For this reason, while the early …moreAbstract:
This master's thesis aims to nowcast the Czech GDP growth and compare several machine learning regression models' performances. While GDP is the most important macroeconomic indicator, there is a publication lag of around 70 days in the Czech Republic, and it is published quarterly. This publication lag hinders rapid decision-making and effective policy implementation. For this reason, while the early …more
Language used: English
Date on which the thesis was submitted / produced: 28. 6. 2023
Identifier:
https://vskp.vse.cz/eid/90906
Thesis defence
- Date of defence: 23. 8. 2023
- Supervisor: Miroslav Plašil
- Reader: Tomáš Karel
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- autentizovaným zaměstnancům ze stejné školy/fakulty
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Vysoká škola ekonomická v Prazehttps://vskp.vse.cz/eid/90906
Vysoká škola ekonomická v Praze
Master programme / field:
Economic Data Analysis / Official Statistics
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