Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/53332
Authors: 
Gans, Will
Alberini, Anna
Longo, Alberto
Year of Publication: 
2011
Series/Report no.: 
Nota di lavoro // Fondazione Eni Enrico Mattei: Energy: resources and markets 36.2011
Abstract: 
Using 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.
Subjects: 
Residential Energy
Electricity Demand
Feedback
Smart Meter
Information
JEL: 
Q40
Q41
D8
Document Type: 
Working Paper

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