Alaska's ice roads and investment decision in drilling: an empirical analysis

Thesis (M.S.) University of Alaska Fairbanks, 2019 This 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...

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Bibliographic Details
Main Author: Azmi Wendler, Sarah
Other Authors: Baek, Jungho, Reynolds, Douglas B., Herrmann, Mark
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/11122/10608
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spelling ftunivalaska:oai:scholarworks.alaska.edu:11122/10608 2023-05-15T13:09:05+02:00 Alaska's ice roads and investment decision in drilling: an empirical analysis Azmi Wendler, Sarah Baek, Jungho Reynolds, Douglas B. Herrmann, Mark 2019-08 http://hdl.handle.net/11122/10608 en_US eng http://hdl.handle.net/11122/10608 Department of Economics ice crossings Alaska North Slope petroleum prospecting Thesis ms 2019 ftunivalaska 2023-02-23T21:37:31Z Thesis (M.S.) University of Alaska Fairbanks, 2019 This 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. Thesis Alaska North Slope north slope Alaska University of Alaska: ScholarWorks@UA Fairbanks
institution Open Polar
collection University of Alaska: ScholarWorks@UA
op_collection_id ftunivalaska
language English
topic ice crossings
Alaska
North Slope
petroleum
prospecting
spellingShingle ice crossings
Alaska
North Slope
petroleum
prospecting
Azmi Wendler, Sarah
Alaska's ice roads and investment decision in drilling: an empirical analysis
topic_facet ice crossings
Alaska
North Slope
petroleum
prospecting
description Thesis (M.S.) University of Alaska Fairbanks, 2019 This 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.
author2 Baek, Jungho
Reynolds, Douglas B.
Herrmann, Mark
format Thesis
author Azmi Wendler, Sarah
author_facet Azmi Wendler, Sarah
author_sort Azmi Wendler, Sarah
title Alaska's ice roads and investment decision in drilling: an empirical analysis
title_short Alaska's ice roads and investment decision in drilling: an empirical analysis
title_full Alaska's ice roads and investment decision in drilling: an empirical analysis
title_fullStr Alaska's ice roads and investment decision in drilling: an empirical analysis
title_full_unstemmed Alaska's ice roads and investment decision in drilling: an empirical analysis
title_sort alaska's ice roads and investment decision in drilling: an empirical analysis
publishDate 2019
url http://hdl.handle.net/11122/10608
geographic Fairbanks
geographic_facet Fairbanks
genre Alaska North Slope
north slope
Alaska
genre_facet Alaska North Slope
north slope
Alaska
op_relation http://hdl.handle.net/11122/10608
Department of Economics
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