Energy prices and CO2 emission allowance prices: A quantile regression approach

B-Tier
Journal: Energy Policy
Year: 2014
Volume: 70
Issue: C
Pages: 201-206

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

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

Abstract

We use a quantile regression framework to investigate the impact of changes in crude oil prices, natural gas prices, coal prices, and electricity prices on the distribution of the CO2 emission allowance prices in the United States. We find that: (i) an increase in the crude oil price generates a substantial drop in the carbon prices when the latter is very high; (ii) changes in the natural gas prices have a negative effect on the carbon prices when they are very low but have a positive effect when they are quite high; (iii) the impact of the changes in the electricity prices on the carbon prices can be positive in the right tail of the distribution; and (iv) the coal prices exert a negative effect on the carbon prices.

Technical Details

RePEc Handle
repec:eee:enepol:v:70:y:2014:i:c:p:201-206
Journal Field
Energy
Author Count
3
Added to Database
2026-01-25