Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/118133
Title: Modeling the Determinants of Global Economic Uncertainty
Author(s): Kovalchuk, Olha
Berezka, Kateryna
Tulai, Oksana
Ferens, Bohdan
Babala, Ludmila
Zapolskyi, Oleksandr
Granting Institution: Hochschule Anhalt
Issue Date: 2024
Extent: 1 Online-Ressource (7 Seiten)
Language: English
Abstract: Economic uncertainty poses a significant challenge for decision-makers across the public and private sectors. While uncertainty is an inherently nebulous concept, developing consistent quantitative measures allows for rigorous analysis of its impacts. The World Uncertainty Index (WUI) provides a standardized quarterly index of uncertainty levels for 143 countries dating back to 1952 based on language in Economist Intelligence Unit reports. This study applies correspondence analysis to examine the relationship between countries' WUI values and their levels of economic development classified by the IMF's income groups. The results reveal distinct associations - advanced, high-income economies exhibit relatively low uncertainty while emerging markets and developing economies face higher uncertainty levels. Low-income countries experience moderate uncertainty. These findings underscore how economic instability can impede development progress. By quantifying uncertainty through empirical measures and analyzing its linkages with other economic factors, researchers can derive valuable insights for policymakers aiming to cultivate confidence and stability.
URI: https://opendata.uni-halle.de//handle/1981185920/120092
http://dx.doi.org/10.25673/118133
Open Access: Open access publication
License: (CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0(CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0
Appears in Collections:International Conference on Applied Innovations in IT (ICAIIT)

Files in This Item:
File Description SizeFormat 
5-1-ICAIIT_2024_12(2).pdf1.13 MBAdobe PDFThumbnail
View/Open