Gasoline demand in Saudi Arabia: An empirical analysis using an autoregressive distributed lag (ARDL) technique

Mohammed Alsahlawi; Omar Al-Titi

Gasoline demand in Saudi Arabia: An empirical analysis using an autoregressive distributed lag (ARDL) technique

Mohammed Alsahlawi, Omar Al-Titi

Department of Accounting and Finance

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Original language	English
Pages (from-to)	161-188
Number of pages	28
Journal	Journal of Energy and Development
Volume	42
Issue number	2
State	Published - 1 Mar 2017

Bibliographical note

Funding Information:
This project was funded by the National Plan for Science, Technology and Innovation (MARIFAH) of King Abdulaziz City for Science and Technology (KACST) through the Science & Technology Unit at KFUPM, award number (13-MAT2262-04). The authors thank KACST for its generous funding and support throughout the study.

ASJC Scopus subject areas

Economics and Econometrics
General Energy

Cite this

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title = "Gasoline demand in Saudi Arabia: An empirical analysis using an autoregressive distributed lag (ARDL) technique",

author = "Mohammed Alsahlawi and Omar Al-Titi",

note = "Funding Information: This project was funded by the National Plan for Science, Technology and Innovation (MARIFAH) of King Abdulaziz City for Science and Technology (KACST) through the Science \& Technology Unit at KFUPM, award number (13-MAT2262-04). The authors thank KACST for its generous funding and support throughout the study.",

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AU - Al-Titi, Omar

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