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dc.contributor.authorGans, Willen
dc.contributor.authorAlberini, Annaen
dc.contributor.authorLongo, Albertoen
dc.date.accessioned2011-12-15T11:33:20Z-
dc.date.available2011-12-15T11:33:20Z-
dc.date.issued2011-
dc.identifier.urihttp://hdl.handle.net/10419/53332-
dc.description.abstractUsing a unique set of data and exploiting a large-scale natural experiment, we estimate the effect of real-time usage information on residential electricity consumption in Northern Ireland. Starting in April 2002, the utility replaced prepayment meters with smart meters that allow the consumer to track usage in real-time. We rely on this event, account for the endogeneity of price and plan with consumption through a plan selection correction term, and find that the provision of information is associated with a decline in electricity consumption of up to 20%. We find that the reduction is robust to different specifications, selection-bias correction methods and subsamples of the original data. At £15-17 per tonne of CO2e (2009£), the smart meter program delivers cost-effective reductions in carbon dioxide emissions.en
dc.language.isoengen
dc.publisher|aFondazione Eni Enrico Mattei (FEEM) |cMilanoen
dc.relation.ispartofseries|aNota di Lavoro |x36.2011en
dc.subject.jelQ40en
dc.subject.jelQ41en
dc.subject.jelD8en
dc.subject.ddc330en
dc.subject.keywordResidential Energyen
dc.subject.keywordElectricity Demanden
dc.subject.keywordFeedbacken
dc.subject.keywordSmart Meteren
dc.subject.keywordInformationen
dc.titleSmart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland-
dc.typeWorking Paperen
dc.identifier.ppn661034763en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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