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Estimating and forecasting residential electricity demand in Iran

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dc.contributor.authorPourazarm, Elham
dc.contributor.authorCooray, Arusha
dc.date.accessioned2015-12-13T22:39:21Z
dc.date.issued2013
dc.date.updated2016-02-24T09:30:04Z
dc.description.abstractThis study examines the short- and the long-run relationship between electricity demand and its determinants in the Iranian residential sector. The study employs unit root tests, cointegration and error-correction models on annual time series for the peri
dc.identifier.issn0264-9993
dc.identifier.urihttp://hdl.handle.net/1885/77746
dc.publisherButterworths
dc.sourceEconomic Modelling
dc.subjectKeywords: ARDL; Economic development; Electrified villages; Iran; Residential electricity demand; Short- and long-run price and income elasticities; Structural breaks
dc.titleEstimating and forecasting residential electricity demand in Iran
dc.typeJournal article
local.bibliographicCitation.lastpage558
local.bibliographicCitation.startpage546
local.contributor.affiliationPourazarm, Elham, University of Wollongong
local.contributor.affiliationCooray, Arusha, College of Asia and the Pacific, ANU
local.contributor.authoruidCooray, Arusha, t1270
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor140200 - APPLIED ECONOMICS
local.identifier.ariespublicationf5625xPUB6541
local.identifier.citationvolume35
local.identifier.doi10.1016/j.econmod.2013.08.006
local.identifier.scopusID2-s2.0-84883411109
local.type.statusPublished Version

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