The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland
Open accessAbstract
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.
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Cites
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Angrist, J. D., & Pischke, J.-S. (2008) · doi:10.2307/j.ctvcm4j72 · Cited by 5,051
Social norms and energy conservation
Allcott, H. (2011) · Journal of Public Economics · doi:10.1016/j.jpubeco.2011.03.003 · Cited by 2,802
Mostly Harmless Econometrics: An Empiricist's Companion
Kmenta, J. (2010) · Business Economics · doi:10.1057/be.2009.37 · Cited by 2,495
An Econometric Analysis of Residential Electric Appliance Holdings and Consumption
Dubin, J. A., & McFadden, D. L. (1984) · Econometrica · doi:10.2307/1911493 · Cited by 1,620
Panel data from time series of cross-sections
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Generalized Econometric Models with Selectivity
Lee, L.-F. (1983) · Econometrica · doi:10.2307/1912003 · Cited by 1,426
Feedback on household electricity consumption: a tool for saving energy?
Fischer, C. (2008) · Energy Efficiency · doi:10.1007/s12053-008-9009-7 · Cited by 1,335
Della Vigna, S., & Malmendier, U. (2006) · American Economic Review · doi:10.1257/aer.96.3.694 · Cited by 1,117
Estimating Models with Sample Selection Bias: A Survey
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Cited by
Regression analysis for prediction of residential energy consumption
Fumo, N., & Rafe Biswas, M. A. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.03.035 · Cited by 630
Air conditioning and electricity expenditure: The role of climate in temperate countries
Randazzo, T., De Cian, E., & Mistry, M. N. (2020) · Economic Modelling · doi:10.1016/j.econmod.2020.05.001 · Cited by 183
Metadata
- Authors
- Gans, W., Alberini, A., & Longo, A.
- Venue
- Energy Economics
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 36
- Pages
- 729-743
- ISSN
- 0140-9883 (ISSN-L)
- OpenAlex
- W1965775998
- Cited by
- 271
- References
- 34
- FWCI
- 6.92
- Type
- journal article
- Language
- en
- Open access
- green
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- Gans, W., Alberini, A., & Longo, A. (2013). Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland. Energy Economics. https://doi.org/10.1016/j.eneco.2012.11.022
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