Thesis (Selection of subject)

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GDPNow for the Czech Republic

Thesis title in Czech:	Odhad HDP v reálném čase pro Českou Republiku
Thesis title in English:	GDPNow for the Czech Republic
Key words:	Predikce HDP, Kombinace předpovědí, Dynamické modelování
English key words:	GDP nowcasting, Forecasting, Forecast Combination, Dynamic Factor Model
Academic year of topic announcement:	2019/2020
Thesis type:	diploma thesis
Thesis language:	angličtina
Department:	Institute of Economic Studies (23-IES)
Supervisor:	prof. PhDr. Tomáš Havránek, Ph.D.
Author:	hidden - assigned by the advisor
Date of registration:	06.04.2020
Date of assignment:	06.04.2020
Date and time of defence:	26.01.2022 09:00
Date of electronic submission:	02.01.2022
Date of proceeded defence:	26.01.2022
Opponents:	PhDr. Jiří Kukačka, Ph.D.



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Guidelines

The purpose is to create a model (ideally projected on a website) that would for each day estimate the current best guess about year-on-year GDP growth. The model will use information from data on industrial production, sentiment indicators, sales, stock prices, etc. Inspiration: https://www.frbatlanta.org/cqer/research/gdpnow.aspx

Preliminary scope of work in English