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Understanding the estimation of oil demand and oil supply elasticities

  • This paper examines the advantages and drawbacks of alternative methods of estimating oil supply and oil demand elasticities and of incorporating this information into structural VAR models. I not only summarize the state of the literature, but also draw attention to a number of econometric problems that have been overlooked in this literature. Once these problems are recognized, seemingly conflicting conclusions in the recent literature can be resolved. My analysis reaffirms the conclusion that the one-month oil supply elasticity is close to zero, which implies that oil demand shocks are the dominant driver of the real price of oil. The focus of this paper is not only on correcting some misunderstandings in the recent literature, but on the substantive and methodological insights generated by this exchange, which are of broader interest to applied researchers.

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Verfasserangaben:Lutz KilianGND
URN:urn:nbn:de:hebis:30:3-573874
URL:https://ssrn.com/abstract=3759333
Titel des übergeordneten Werkes (Englisch):Center for Financial Studies (Frankfurt am Main): CFS working paper series ; No. 649
Schriftenreihe (Bandnummer):CFS working paper series (649)
Verlag:Center for Financial Studies
Verlagsort:Frankfurt, M.
Dokumentart:Arbeitspapier
Sprache:Englisch
Jahr der Fertigstellung:2020
Jahr der Erstveröffentlichung:2020
Veröffentlichende Institution:Universitätsbibliothek Johann Christian Senckenberg
Datum der Freischaltung:05.01.2021
Freies Schlagwort / Tag:Bayesian inference; IV estimation; gasoline price; oil demand elasticity; oil price; oil supply elasticity; structural VAR
Ausgabe / Heft:August 29, 2020
Seitenzahl:33
HeBIS-PPN:475471652
Institute:Wirtschaftswissenschaften / Wirtschaftswissenschaften
Wissenschaftliche Zentren und koordinierte Programme / Center for Financial Studies (CFS)
DDC-Klassifikation:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
JEL-Klassifikation:C Mathematical and Quantitative Methods / C5 Econometric Modeling / C52 Model Evaluation and Selection
Sammlungen:Universitätspublikationen
Lizenz (Deutsch):License LogoDeutsches Urheberrecht