The relationship between oil prices and rig counts: The importance of lags
Ahmed Khalifa (),
Massimiliano Caporin () and
Energy Economics, 2017, vol. 63, issue C, 213-226
This study deals with a timely and relevant issue in the oil market in the wake of the recent drastic drop in oil prices, which is the relationship between changes in oil prices and changes in rig counts, while accounting for other determinants of this relationship. This relationship is of strong interest to analysts, investors and policymakers in the United States and other countries. We empirically verify the impact of changes in oil prices on rig counts, which has lags up to one quarter. This evidence is stable across time and over different linear and non-linear models. The analysis also suggests that the relationship is non-linear, which is verified by both the quantile regression and quantile-on-quantile models. We find evidence of non-linearity that has softened in the most recent years where the relationship between the variables has stabilized.
Keywords: Rig counts; Oil price; Lags; Quantile regression; Quantile-on-quantile (search for similar items in EconPapers)
JEL-codes: C22 C58 G11 G15 Q31 Q41 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:63:y:2017:i:c:p:213-226
Access Statistics for this article
Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant
More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().