Price and Income Elasticities of Demand for Crude Oil. A study of thirteen OECD and Non-OECD Countries
Christos Tsirimokos () and
Georgios Maroulis ()
Additional contact information
Christos Tsirimokos: Institute of Urban Environment and Human Resources, Department of Economics and Regional Development, Panteion University, Athens, Greece
Georgios Maroulis: Institute of Urban Environment and Human Resources, Department of Economics and Re- gional Development, Panteion University, Athens, Greece
Bulletin of Political Economy, 2016, vol. 10, issue 2, 161-180
Abstract:
This study examines the determinants of crude oil demand in a panel of thirteen OECD and non-OECD countries constituting about 62% of global crude oil consumption in 2015. Panel unit root and panel cointegration techniques are employed for the estimation of price and income elasticities of crude oil demand. Estimated coefficients in the panel have a statistically significant impact on oil consumption both in the short-run and in the long-run. The empirical panel findings reveal that in the short-run, crude oil demand is price and income inelastic while in the long-run, crude oil demand is income elastic and price inelastic. On the other hand, the estimated coefficients on the price and income variables vary across countries and they are in most of the cases statistically significant.
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://serialsjournals.com/abstract/97992_4_christos_p_baloglou.pdf (application/pdf)
https://www.bulletinofpe.com/christos-tsirimokos-georgios-maroulis-20162 (text/html)
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:awu:journl:v:10:y:2016:i:2:p:161-180
Access Statistics for this article
More articles in Bulletin of Political Economy from Bulletin of Political Economy
Bibliographic data for series maintained by Maria Cristina Barbieri Goes ().