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dc.contributor.authorApergis, Nicholas
dc.contributor.authorTsoumas, Chris
dc.date.accessioned2017-01-30T14:48:48Z
dc.date.available2017-01-30T14:48:48Z
dc.date.created2014-04-06T20:00:38Z
dc.date.issued2012
dc.identifier.citationApergis, Nicholas and Tsoumas, Chris. 2012. Long Memory and Disaggregated Energy Consumption: Evidence from Fossils, Coal and Electricity Retail in the U.S. Energy Economics. 34 (4): pp. 1082-1087.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/41174
dc.identifier.doi10.1016/j.eneco.2011.09.002
dc.description.abstract

In this paper, the long memory properties of disaggregated fossils, coal and electricity retail consumption in the U.S. over the 1989–2009 period are examined. The presence of long memory is related to autocorrelation persistence of each series. Our results show that there is heterogeneity in the order of integration between these types of energy consumption and for the different sectors employed, which is affected by the inclusion of a break event. The order of integration was generally higher for the case of a break in the intercept than in the slope, with the latter being more plausible for all series.

dc.publisherElsevier
dc.subjectFractional integration
dc.subjectDisaggregated fossils
dc.subjectStructural breaks
dc.subjectCoal and electricity retail energy
dc.titleLong Memory and Disaggregated Energy Consumption: Evidence from Fossils, Coal and Electricity Retail in the U.S.
dc.typeJournal Article
dcterms.source.volume34
dcterms.source.startPage1082
dcterms.source.endPage1087
dcterms.source.issn0140-9883
dcterms.source.titleEnergy Economics
curtin.department
curtin.accessStatusFulltext not available


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