dc.contributor.author | Dagher, L. |
dc.contributor.editor | |
dc.date | 2012 |
dc.date.accessioned | 2017-10-03T15:55:05Z |
dc.date.available | 2017-10-03T15:55:05Z |
dc.date.issued | 2012 |
dc.identifier | 10.1016/j.eneco.2011.05.010 |
dc.identifier.isbn | |
dc.identifier.issn | 01409883 |
dc.identifier.uri | http://hdl.handle.net/10938/12979 |
dc.description.abstract | Previous studies provide strong evidence that energy demand elasticities vary across regions and states, arguing in favor of conducting energy demand studies at the smallest unit of observation for which good quality data are readily available, that is the utility level. We use monthly data from the residential sector of Xcel Energy's service territory in Colorado for the period January 1994 to September 2006. Based on a very general Autoregressive Distributed Lag model this paper uses a new approach to simulate the dynamic behavior of natural gas demand and obtain dynamic elasticities. Knowing consumers' response on a unit time basis enables one to answer a number of questions, such as, the length of time needed to reach demand stability. Responses to price and income were found to be much lower-even in the long run-than has been commonly suggested in the literature. Interestingly, we find that the long run equilibrium is reached relatively quickly, around 18. months after a change in price or income has occurred, while the literature implies a much longer period for complete adjustments to take place. © 2011 Elsevier B.V. |
dc.format.extent | |
dc.format.extent | Pages: (961-969) |
dc.language | English |
dc.publisher | AMSTERDAM |
dc.relation.ispartof | Publication Name: Energy Economics; Publication Year: 2012; Volume: 34; no. 4; Pages: (961-969); |
dc.relation.ispartofseries | |
dc.relation.uri | |
dc.source | Scopus |
dc.subject.other | |
dc.title | Natural gas demand at the utility level: An application of dynamic elasticities |
dc.type | Article |
dc.contributor.affiliation | Dagher, L., American University of Beirut, Department of Economics, P.O. Box 11-0236, Riad El Solh, Beirut 1107-2020, Lebanon |
dc.contributor.authorAddress | Dagher, L.; American University of Beirut, Department of Economics, P.O. Box 11-0236, Riad El Solh, Beirut 1107-2020, Lebanon; email: ld08@aub.edu.lb |
dc.contributor.authorCorporate | University: American University of Beirut; Faculty: Faculty of Arts and Sciences; Department: Economics; |
dc.contributor.authorDepartment | Economics |
dc.contributor.authorDivision | |
dc.contributor.authorEmail | ld08@aub.edu.lb |
dc.contributor.faculty | Faculty of Arts and Sciences |
dc.contributor.authorInitials | Dagher, L |
dc.contributor.authorOrcidID | |
dc.contributor.authorReprintAddress | Dagher, L (reprint author), Amer Univ Beirut, Dept Econ, POB 11-0236, Beirut 11072020, Lebanon. |
dc.contributor.authorResearcherID | |
dc.contributor.authorUniversity | American University of Beirut |
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dc.description.citedCount | 4 |
dc.description.citedTotWOSCount | 2 |
dc.description.citedWOSCount | 1 |
dc.format.extentCount | 9 |
dc.identifier.articleNo | |
dc.identifier.coden | EECOD |
dc.identifier.pubmedID | |
dc.identifier.scopusID | 84862231367 |
dc.identifier.url | |
dc.publisher.address | PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS |
dc.relation.ispartofConference | |
dc.relation.ispartofConferenceCode | |
dc.relation.ispartofConferenceDate | |
dc.relation.ispartofConferenceHosting | |
dc.relation.ispartofConferenceLoc | |
dc.relation.ispartofConferenceSponsor | |
dc.relation.ispartofConferenceTitle | |
dc.relation.ispartofFundingAgency | |
dc.relation.ispartOfISOAbbr | Energy Econ. |
dc.relation.ispartOfIssue | 4 |
dc.relation.ispartOfPart | |
dc.relation.ispartofPubTitle | Energy Economics |
dc.relation.ispartofPubTitleAbbr | Energy Econ. |
dc.relation.ispartOfSpecialIssue | |
dc.relation.ispartOfSuppl | |
dc.relation.ispartOfVolume | 34 |
dc.source.ID | WOS:000306158000011 |
dc.type.publication | Journal |
dc.subject.otherAuthKeyword | ADL |
dc.subject.otherAuthKeyword | Colorado |
dc.subject.otherAuthKeyword | Dynamic elasticities |
dc.subject.otherAuthKeyword | Natural gas demand |
dc.subject.otherChemCAS | |
dc.subject.otherIndex | ADL |
dc.subject.otherIndex | Auto-regressive |
dc.subject.otherIndex | Colorado |
dc.subject.otherIndex | Demand stability |
dc.subject.otherIndex | Dynamic behaviors |
dc.subject.otherIndex | Dynamic elasticity |
dc.subject.otherIndex | Energy demands |
dc.subject.otherIndex | Lag model |
dc.subject.otherIndex | Natural gas demand |
dc.subject.otherIndex | Quality data |
dc.subject.otherIndex | Residential sectors |
dc.subject.otherIndex | Smallest unit |
dc.subject.otherIndex | Xcel energies |
dc.subject.otherIndex | Energy management |
dc.subject.otherIndex | Natural gas |
dc.subject.otherIndex | Elasticity |
dc.subject.otherIndex | demand ela |
dc.subject.otherKeywordPlus | ENERGY DEMAND |
dc.subject.otherKeywordPlus | ELECTRICITY DEMAND |
dc.subject.otherKeywordPlus | STRUCTURAL-CHANGE |
dc.subject.otherKeywordPlus | MODELS |
dc.subject.otherKeywordPlus | VARIABLES |
dc.subject.otherKeywordPlus | ERROR |
dc.subject.otherKeywordPlus | TESTS |
dc.subject.otherWOS | Economics |