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Title:
Can we measure economic stress with (the help of) artificial intelligence?
Authors:
ID
Romih, Dejan
(
Author
)
ID
Fir, Nejc
(
Author
)
ID
Dajčman, Silvo
(
Author
)
ID
Toader, Valentin
(
Author
)
Files:
RAZ_Romih_Dejan_2025.pdf
(4,20 MB)
MD5: 514E9AAF3EBCF18439B4AC421A9A5870
Language:
English
Work type:
Scientific work
Typology:
1.16 - Independent Scientific Component Part or a Chapter in a Monograph
Organization:
EPF - Faculty of Business and Economics
Abstract:
In this chapter, we present a cable news-based index of economic stress that can be used to measure and monitor economic stress. Data shows that economic stress was highest during the COVID-19 pandemic, which is consistent with the literature. Using a vector autoregressive model, we found that a shock to economic stress negatively affects economic activity, which is valuable information for policymakers.
Publication version:
Version of Record
Year of publishing:
2025
Number of pages:
Str. 147-177
PID:
20.500.12556/DKUM-96125
UDC:
004.8
COBISS.SI-ID:
259594243
Publication date in DKUM:
03.12.2025
Views:
140
Downloads:
4
Metadata:
Categories:
Misc.
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Record is a part of a monograph
Title:
Ekonomija, mediji in negotovost v dobi umetne inteligence : znanstvena monografija
Editors:
Dejan Romih, Blaž Frešer
Place of publishing:
Maribor
Publisher:
Društvo ekonomistov
Year of publishing:
2025
ISBN:
978-961-6059-30-5
COBISS.SI-ID:
257950467
Licences
License:
CC BY-NC-SA 4.0, Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-sa/4.0/
Description:
A Creative Commons license that bans commercial use and requires the user to release any modified works under this license.
Secondary language
Language:
Slovenian
Title:
Ali lahko gospodarski stres merimo s pomočjo umetne inteligence?
Keywords:
gospodarski stres
,
kabelske novice
,
umetna inteligenca
,
gospodarska aktivnost
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