COVID-19 uncertainty index in Japan: Newspaper-based measures and economic activities

Hiroshi Morita and Taiki Ono

International Review of Economics & Finance, 2024, vol. 93, issue PA, 390-403

Abstract: This paper measures economic uncertainty induced by the COVID-19 using a newspaper-based approach in Japan and examines its economic impact in the VAR model. We specify two types of uncertainty indices and structural shocks: epidemiological and policy-related uncertainties. The constructed indices can trace well the events related to COVID-19. We then find that stock market variables respond significantly to a policy-related uncertainty shock, while real variables such as mobility and consumption are significantly affected by an epidemiological one. These findings highlight the importance of considering different types of uncertainty to assess the impact of COVID-19 induced uncertainty on economic activity.

Keywords: COVID-19; Uncertainty; Newspaper-based approach; VAR model (search for similar items in EconPapers)
JEL-codes: C32 D80 E44 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056024002053
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:93:y:2024:i:pa:p:390-403

DOI: 10.1016/j.iref.2024.03.041

Access Statistics for this article

International Review of Economics & Finance is currently edited by H. Beladi and C. Chen

More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().