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Social norms and energy conservation
Abstract
This paper evaluates a series of programs run by a company called OPOWER to send Home Energy Report letters to residential utility customers comparing their electricity use to that of their neighbors. Using data from randomized natural field experiments at 600,000 treatment and control households across the United States, I estimate that the average program reduces energy consumption by 2.0%. The program provides additional evidence that non-price interventions can substantially and cost effectively change consumer behavior: the effect is equivalent to that of a short-run electricity price increase of 11 to 20%, and the cost effectiveness compares favorably to that of traditional energy conservation programs. Perhaps because the treatment included descriptive social norms, effects are heterogeneous: households in the highest decile of pre-treatment consumption decrease usage by 6.3%, while consumption by the lowest decile decreases by only 0.3%. A regression discontinuity design shows that different categories of “injunctive norms” played an insignificant role in encouraging relatively low users not to increase usage.
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“A large meta-analysis found that significant residential energy savings can be achieved [215], by targeting the right interventions to the right households [14,16,17].”
From Tackling climate change with machine learning (2023) · cites this paper as [16]
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“heterogeneous: households in the highest decile of pretreatment consumption decrease energy usage more than households in the lowest decile [28], which indicates the assimilation effect”
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“In an influential paper, Allcott (2011) evaluated the famous Home Energy Report Program of OPOWER, which involved social norms (descriptive and injunctive) and tailored energy-saving tips.”
InfluentialA review of residential water conservation policies and attempts to measure their effectiveness
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“Schultz et al. (2007) and Allcott (2011) conduct field experiments on the effect of descriptive and injunctive norms on subjects’ energy conservation.”
InfluentialSpring, H., Datta, S., & Sapkota, S. (2016) · Frontiers in Public Health · doi:10.3389/fpubh.2016.00123 · Cited by 10
“Benchmarking interventions have proven effective in other health, retail, and workplace settings, in both developed and developing countries (15, 17, 18).”
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“Researchers have highlighted norms and values should be considered when we examine behavioral change or related policies [9,11,12,47,87,88].”
BackgroundInfluentialUsing Machine Learning to Target Treatment: The Case of Household Energy Use
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“For example, normative messages are widely used in interventions to reduce household energy use [94] and cultural group selection has been applied to understand the transmission of lobstering practices in Maine [95].”
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Can vaccination intentions against COVID-19 be nudged?
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“The effectiveness of descriptive social norms as nudges has already been demonstrated in the context of socially beneficial policies (e.g., Allcott, 2011; Hallsworth et al. , 2017).”
The limits of inconspicuous incentives
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“…2015), but mailings merely letting consumers know how their energy usage compared to that of their neighbors reliably and meaningfully reduced energy consumption (Allcott, 2011), as did messages associating pollution from energy usage with health and environmental problems (Asensio & Delmas, 2015).”
BackgroundLiu, M., Liang, M., Huang, B., Liu, H., & Li, Z. (2022) · Energy and Buildings · doi:10.1016/j.enbuild.2022.112587 · Cited by 11
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When Should Governments Invest More in Nudging? Revisiting Benartzi et al. (2017)
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“Studies show that information provision and feedback can leverage comparisons with relevant references such as households in a neighborhood and social norms (Allcott, 2011; Allcott & Rogers, 2014; Brandon et al., 2018).”
When Incentives Matter Too Much: Explaining Significant Responses to Irrelevant Information
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“Home owners make discretely different electricity consumption decisions based on “grades” assigned by the utility company (Allcott 2011).”
A Review of Energy Reduction Competitions. What Have We Learned
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Social Electricity: a case study on users perceptions in using green ICT social applications
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“To mitigate this, we employed injunctive norms (Kallgren et al., 1990), involving eco-visualisations with happy/sad bulbs on the feedback graphs (Allcott, 2011).”
BackgroundMethodResultInfluentialMeunier, G., & Schumacher, I. (2019) · Journal of Public Economic Theory · doi:10.1111/jpet.12418 · Cited by 13
Burns, S., & Savan, B. (2018) · Sustainability · doi:10.3390/su10030809 · Cited by 11
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“In a large randomized field experiment, providing comparative feedback that suggested normative energy usage succeeded in reducing household energy use by 2% (Allcott, 2011).”
Nolan, J. M., & Wallen, K. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108759458.028 · Cited by 10
Mapping the knowledge development and trend of household energy consumption
Hu, Z., Wang, M., & Cheng, Z. (2021) · Environment Development and Sustainability · doi:10.1007/s10668-021-01727-z · Cited by 11
“Therefore, nonprice intervention can change consumer behavior significantly and some experts point out that this effect is equal to a short-term electricity price increase of 11%–20% (Allcott, 2011).”
BackgroundThe effects of social information and luck on risk behavior of small-scale fishers at Lake Victoria
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“A series of experiments were conducted in partnership with Opower, which used descriptive norm messaging to induce households to save energy (Allcott 2011; Alcott & Rogers, 2014).”
MethodWho nudges whom? Expert opinions on behavioural field experiments with public partners
Fels, K. (2022) · Behavioural Public Policy · doi:10.1017/bpp.2022.14 · Cited by 11
“Nudges are widely used for policy design (DellaVigna, 2009; Madrian, 2014) with applications ranging from automatic enrolment to pension accounts (Madrian & Shea, 2001) over inducing energy conservation of private households (Allcott, 2011) to improving tax compliance (Hallsworth et al. , 2017).”
Unpacking Negligence Liability: Experimentally Testing the Governance Effect
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Roje, T., Marín, L. G., Sáez, D. A., Orchard, M. E., & Jiménez‐Estévez, G. (2016) · International Journal of Energy Research · doi:10.1002/er.3607 · Cited by 11
“In fact, Allcott and Allcott and Mullainathan [10,11] show that behavioral interventions are effective, decreasing energy consumption in 2%, being comparable to price incentive initiatives.”
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“…of individuals do so, people are more likely to pay their taxes, donate, recycle, preserve energy and take environmentally conscious decisions (Allcott, 2011; Allcott & Rogers, 2012; Cialdini, 2003; Cialdini, Reno, & Kallgren, 1990; Croson & Shang, 2008; Frey & Meier, 2004; Goldstein,…”
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“…human behaviours and has repeatedly been demonstrated to play an important role, particularly in environmental contexts (e.g., Alberts et al., 2016; Allcott, 2011; Lossin et al., 2016), for example, when individuals compare their energy consumption to that of peers (i.e., relative performance) or…”
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“…has shown that highlighting social norms can influence a variety of environmental behaviors, such as hotel guests’ towel reuse (Goldstein et al., 2008), shoppers’ reuse of plastic bags (de Groot et al., 2013), and energy consumption (Allcott, 2011; for an overview, see Farrow et al., 2017).”
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“but enhanced information like a bill comparison with the past [11] or peers [12], a summary of recent appliance usage activities [13] and energy tips [14] can more likely draw customers’ attention to energy issues.”
BackgroundImpact of information sharing on energy behavior: A system dynamics approach
Khansari, N., Mostashari, A., & Mansouri, M. (2014) · 2020 IEEE International Systems Conference (SysCon) · doi:10.1109/syscon.2014.6819266 · Cited by 10
“In practice, this two-page letter motivates household to reduce their energy usage by comparing their consumption with neighbors’ [14] [15].”
BackgroundFactors influencing electricity consumption: a review of research methods
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“One of them is the approach which highlights the importance of social norms (e.g., Allcott, 2011; Dolan & Metcalfe, 2015).”
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“Municipal utilities have tested whether letters with personalized information or social comparisons affect household water and energy conservation [19,20].”
BackgroundThe impacts of special environmental events on short-run electricity-saving behaviors
Shen, X., Qiu, Y. L., Luo, L., et al. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/ac1629 · Cited by 10
“…into the following typical categories (Abrahamse et al 2005): mandatory standards, commitment, goal setting, information provision (e.g. workshop, mass media campaign, and energy audits), self-feedback (e.g. energy bill reminder), comparative feedback (e.g. Opower letters, Allcott 2011).”
BackgroundInfluentialQin, B., & Chen, H. (2021) · Bulletin of Economic Research · doi:10.1111/boer.12313 · Cited by 10
“This is consistent with Allcott and Rogers (2014) that only repeated social comparison messages can have a lasting change on behavior.”
BackgroundResultInfluentialEfficiency Investment and Curtailment Action
Matsumoto, S., & Sugeta, H. (2022) · Environmental and Resource Economics · doi:10.1007/s10640-022-00709-7 · Cited by 10
“Some researchers have participated in the program design and have evaluated the effectiveness (Allcott and Mullainathan 2010; Allcott 2011; Tiefenbeck et al.”
BackgroundColley, M., Rixen, J. O., Pellegrino, I. W., & Rukzio, E. (2022) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/3543174.3545256 · Cited by 10
“Regarding the household, Allcott [2], by comparing 80000 treatment and control households”
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“Such information has been used in studies to reduce electricity or water consumption (Schultz et al. , 2007; Allcott, 2011; Costa & Kahn, 2013; Ferraro & Price, 2013; Brent et al. , 2016; Chabé-Ferret et al. , 2019).”
MethodParticipating in a climate prediction market increases concern about global warming
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“Regarding households, a series of U.S. trials have demonstrated that personalized behavioral feedback can help households reduce their energy consumption (Houde et al., 2013; Allcott, 2011).”
Enabling energy conservation through effective decision aids
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Testing the behavior of rationally inattentive consumers in a residential water market
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“Finally, our results suggest that carefully designed non-price strategies based on consumers’ decision-making may also be effective (Allcott, 2011; Allcott and Rogers, 2014).”
BackgroundLeight, J., & Safran, E. (2019) · Journal of Behavioral Public Administration · doi:10.30636/jbpa.22.55 · Cited by 10
“…social norms can be effective in stimulating behavioral change: for example, social norms can be effective in stimulating more efficient energy use (Alcott, 2011, Ayers, 2013), reducing college-age drinking (Lewis & Neighbors, 2006), increasing rates of voter participation (Gerber & Rogers, 2007),…”
BackgroundA Community-Based Program Promotes Sanitation
Alzúa, M. L., Djebbari, H., & Pickering, A. J. (2018) · Economic Development and Cultural Change · doi:10.1086/701214 · Cited by 10
“Social comparison has been shown to have a significant effect regarding other environmental problems (Goldstein et al. 2008; Allcott 2011) and may act as a behavioral incentive, if, for instance, there is a preference for conformism or if villagers learn from each other about the private costs and…”
The Creation of Social Norms under Weak Institutions
Diekert, F., Eymess, T., Luomba, J., & Waichman, I. (2022) · Journal of the Association of Environmental and Resource Economists · doi:10.1086/720287 · Cited by 9
Meinrenken, C. J., Abrol, S., Gite, G. B., Hidey, C., McKeown, K. R., Mehmani, A., Modi, V., Turcan, E., Xie, W., & Culligan, P. J. (2020) · Energy and Buildings · doi:10.1016/j.enbuild.2020.110652 · Cited by 10
“This conservation is in line with the high end of the 1.4–3.3% range reported for the O-Power experiments [11] (which assigned feedback recipients randomly).”
BackgroundMethodResultInfluentialLimited Attention in Residential Energy Markets: A Regression Discontinuity Approach
Keefer, Q. A. W., & Rustamov, G. (2015) · Empirical Economics · doi:10.1007/s00181-017-1314-6 · Cited by 12
“There are, however, a growing number of studies in behavioral economics and psychology that attempt to understand decision factors in energy consumption as something other than a purely rational choice (Allcott 2011; Allcott and Rogers 2014; Ferraro et al. 2011; Ferraro and Price 2013; Goldstein et al. 2008; Harding a…”
Social Norms Based Eco-Feedback for Household Water Consumption
Ramli, U. (2021) · Sustainability · doi:10.3390/su13052796 · Cited by 11
“Sustainability 2021, 13, 2796 10 of 13 Unlike that seen by Allcott and Rogers [35], these results do not show any ‘action and backsliding’ of treatment effects following the delivery of each home report.”
BackgroundMethodResultInfluentialSmall Steps with Big Data: Using Machine Learning in Energy and Environmental Economics
Harding, M., & Lamarche, C. (2021) · Annual Review of Resource Economics · doi:10.1146/annurev-resource-100920-034117 · Cited by 10
Ye, N., Xiao, Z., Zhang, M., Atherley, J., & Hou, L. (2021) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2021.105808 · Cited by 10
Social Norms and Market Behavior – Evidence From a Large Population Sample
Riehm, T., Fugger, N., Gillen, P., Gretschko, V., & Werner, P. (2020) · Journal of Public Economics · doi:10.1016/j.jpubeco.2022.104701 · Cited by 19
Nudges and peak pricing: A common pool resource energy conservation experiment
Buckley, P., & Llerena, D. (2022) · Journal of Behavioral and Experimental Economics · doi:10.1016/j.socec.2022.101928 · Cited by 10
Visualising variations in household energy consumption
Goodwin, S., & Dykes, J. A. (2012) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2012.6400545 · Cited by 10
“Relatively recent research identifies that social norms can be used effectively in the case of energy consumption reduction [1].”
BackgroundEnergy Consumption Feedback: Engagement by Design
Rettie, R., Burchell, K., & Harries, T. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-07635-5_57 · Cited by 10
Energy efficiency: Building labels lead to savings
Walls, M. A. (2017) · Nature Energy · doi:10.1038/nenergy.2017.55 · Cited by 10
A prototype tool for automatically generating energy-saving advice based on smart meter data
Kimura, O., Komatsu, H., Nishio, K., & Mukai, T. (2018) · Energy Efficiency · doi:10.1007/s12053-018-9639-3 · Cited by 10
Soliev, I., Janssen, M. A., Theesfeld, I., Pritchard, C., Pirscher, F., & Lee, A. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/ac30f7 · Cited by 11
“…by IOP Publishing Ltd of inaction (Tversky and Kahneman 1981), to creating and emphasizing various social references, for example an energy utility presenting monthly bills showing personal energy use in comparison to the use of neighbors to trigger energy conservation behavior (Allcott 2011).”
BackgroundA Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand
Buys, L. R., Vine, D., Ledwich, G. F., Bell, J. M., Mengersen, K. L., Morris, P., & Lewis, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0121195 · Cited by 10
“Energy efficiency and energy conservation are often covered together in studies, see for example, [91–95].”
BackgroundReducing Electricity Demand through Smart Metering: The Role of Improved Household KnowledgePreprint
Carroll, J., Lyons, S., & Denny, E. (2013) · RePEc: Research Papers in Economics · Cited by 10
Gee, L. K. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2612979 · Cited by 15
The Role of Occupant Behavior in Achieving Net Zero Energy: A Demonstration Project at Fort Carson
Judd, K. S., USDOE, Sanquist, T., Zalesny, M. D., & Fernandez, N. (2013) · doi:10.2172/1110475 · Cited by 10
Nudging Businesses to Pay Their Taxes: Does Timing Matter?
Gillitzer, C. (2018) · AEA Randomized Controlled Trials · doi:10.1257/rct.3059 · Cited by 10
Relative Performance Transparency: Effects on Sustainable ChoicesPreprint
Buell, R. W., Mariadassou, S., & Zheng, Y. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3324306 · Cited by 9
“Specifically within the environmental sustainability context, this approach has been applied in energy consumption (Schultz et al. 2007, Nolan et al. 2008, Allcott 2011, Ayres et al. 2013), food waste (Nomura et al. 2011), and water conservation efforts (Ferraro and Price 2013).”
MethodDoerrenberg, P., & Peichl, A. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3065963 · Cited by 10
“We use the wording ’social norm’ in line with previous literature that (randomly) provides information about the behavior of others to manipulate ’social norms’ (e.g., Allcott 2011; Hallsworth et al. 2017).”
Barclay, P. (2015) · Wiley eBooks · doi:10.1002/9781119125563.evpsych233 · Cited by 10
Metadata
- Authors
- Allcott, H.
- Affiliations
- New York University (US)
- Corresponding author
- Allcott, Hunt
- Venue
- Journal of Public Economics
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 95
- Issue
- 9-10
- Pages
- 1082-1095
- ISSN
- 0047-2727 (ISSN-L)
- OpenAlex
- W2139035425
- Cited by
- 2,802
- References
- 104
- Citations by year
- 2026: 225 · 2025: 209 · 2024: 194 · 2023: 208 · 2022: 226 · 2021: 257 · 2020: 225 · 2019: 240 · 2018: 199 · 2017: 171 · 2016: 165 · 2015: 161 · 2014: 147 · 2013: 94 · 2012: 55
- FWCI
- 263.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Public Economics (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Pro-Environmental Behavior and Attitudes
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
- Keywords
- social norms, energy conservation, social comparison, residential electricity consumption, cost-effectiveness, injunctive norms, descriptive norms, treatment effect heterogeneity
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