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dc.contributor.authorAzmi Wendler, Sarah
dc.date.accessioned2019-10-10T17:27:53Z
dc.date.available2019-10-10T17:27:53Z
dc.date.issued2019-08
dc.identifier.urihttp://hdl.handle.net/11122/10608
dc.descriptionThesis (M.S.) University of Alaska Fairbanks, 2019en_US
dc.description.abstractThis thesis applies Autoregressive Distributed Lag modeling techniques to estimate the effects of ice road season lengths on exploration activities in Alaska within the North Slope. This analysis uses data on winter off-road travel from 2001-2018 in monthly intervals against exploration wells spudded. It is found that while ice roads do not affect overall drilling activities in the North Slope, the lengths of the season plays significant part in exploration of new fields. While this subject has become a popular subject due to variations in the ice road season, no similar statistical analysis has been conducted to date. Oil prices, production and Alaska's oil policy were also found to be important variables in characterizing exploration activity.en_US
dc.language.isoen_USen_US
dc.subjectice crossingsen_US
dc.subjectAlaskaen_US
dc.subjectNorth Slopeen_US
dc.subjectpetroleumen_US
dc.subjectprospectingen_US
dc.titleAlaska's ice roads and investment decision in drilling: an empirical analysisen_US
dc.typeThesisen_US
dc.type.degreemsen_US
dc.identifier.departmentDepartment of Economicsen_US
dc.contributor.chairBaek, Jungho
dc.contributor.committeeReynolds, Douglas B.
dc.contributor.committeeHerrmann, Mark
refterms.dateFOA2020-03-07T01:03:45Z


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