Measuring the energy-related uncertainty index

A-Tier
Journal: Energy Economics
Year: 2023
Volume: 124
Issue: C

Authors (5)

Dang, Tam Hoang-Nhat (not in RePEc) Nguyen, Canh Phuc (not in RePEc) Lee, Gabriel S. (Universität Regensburg) Nguyen, Binh Quang (not in RePEc) Le, Thuy Thu (not in RePEc)

Score contribution per author:

0.804 = (α=2.01 / 5 authors) × 2.0x A-tier

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

Abstract

This paper develops a novel energy-related uncertainty index (the EUI). We use the text analysis of the monthly country reports of the Economist Intelligence Unit (EIU) to construct the EUI, which measures the uncertainties related to energy markets for 28 developed and developing countries from 1996 to 2022 using. We use the vector autoregression (VAR) model and a range of other estimation methods to evaluate and check the efficacy of the EUI. The EUI appears to respond strongly to oil shocks, including sharp drops in oil prices. We also find that the EUI and other measures of uncertainties spiked during the global financial crisis, the European debt crises, the Covid-19 pandemic, and the Russian invasion of Ukraine. Further analysis confirms that an increase in the EUI tends to hinder economic activities and outputs, not only at a country level but also at an industry level.

Technical Details

RePEc Handle
repec:eee:eneeco:v:124:y:2023:i:c:s0140988323003158
Journal Field
Energy
Author Count
5
Added to Database
2026-01-25