The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model

C-Tier
Journal: Applied Economics
Year: 2021
Volume: 53
Issue: 58
Pages: 6739-6751

Authors (2)

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper explores the impact on the macroeconomy for certain OECD economies exposed to the COVID-19 pandemic shock. The analysis employs a panel of OECD countries, spanning the period March 2020 to January 2021. It also uses two proxies for the COVID-19 shocks: i) total confirmed incidences/cases and ii) total deaths while using the Bayesian Panel Vector Autoregressive (BPVAR) method. The findings document that the COVID-19 shock exerts a strong negative effect on industrial production. Considering how such epidemic shocks affect the expectations of economic participants, the paper questions their absence in accounting for forthcoming growth-related incidences.

Technical Details

RePEc Handle
repec:taf:applec:v:53:y:2021:i:58:p:6739-6751
Journal Field
General
Author Count
2
Added to Database
2026-01-24