bibtype V - Research Report
ARLID 0599307
utime 20241021140647.2
mtime 20241012235959.9
ISSN 1803-7070
title (primary) (eng) Uncertain trends in economic policy uncertainty
publisher
place Prague
name Czech National Bank
pub_time 2023
specification
page_count 35 s.
media_type E
edition
name Czech National Bank Working Paper Series
volume_id 16/2023
keyword Economic Policy Uncertainty
keyword Reproducibility
keyword Reliability
author (primary)
ARLID cav_un_auth*0440531
name1 Buliskeria
name2 Nino
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
country GE
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0231592
name1 Baxa
name2 Jaromír
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
full_dept Department of Econometrics
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0474627
name1 Šestořád
name2 T.
country CZ
source
url https://library.utia.cas.cz/separaty/2024/E/baxa-0599307.pdf
cas_special
project
project_id GA20-14990S
agency GA ČR
ARLID cav_un_auth*0397555
abstract (eng) The news-based Economic Policy Uncertainty indices (EPU) of Germany, France, and the United Kingdom display discernible trends that can be found neither in other European countries nor in other uncertainty indicators. Therefore, we replicate the EPU index of European countries and show that these trends are sensitive to the rather arbitrary choice of normalizing the raw counts of news related to economic policy uncertainty by the count of all newspaper articles. We show that an alternative normalization by news on economic policy leads to different long-term dynamics\nwith less pronounced trends and markedly lower uncertainty during recent periods of uncertainty such as Brexit or the COVID-19 pandemic. Consequently, our results suggest that the effects of uncertainty related to these events on economic activity may have been overestimated.
RIV AH
FORD0 50000
FORD1 50200
FORD2 50202
reportyear 2025
num_of_auth 3
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0357082
cooperation
ARLID cav_un_auth*0308136
name Univerzita Karlova v Praze, Fakulta sociálních věd
institution FSV UK
country CZ
confidential S
arlyear 2023
mrcbU10 2023
mrcbU10 Prague Czech National Bank