The DOI matches its Crossref record; 98 of the 104 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
Axelrod, R., & Hamilton, W. D. (1981) · Science · doi:10.1126/science.7466396 · Cited by 20,065
How Much Should We Trust Differences-in-Differences Estimates?
Bertrand, M., Duflo, E., & Mullainathan, S. (2004) · The Quarterly Journal of Economics · doi:10.1162/003355304772839588 · Cited by 10,641
A Theory of the Allocation of Time
Becker, G. S. (1965) · The Economic Journal · doi:10.2307/2228949 · Cited by 10,354
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · Journal of Educational Psychology · doi:10.1037/h0037350 · Cited by 9,436 · cited 2×
“Nearly all are within the confidence intervals of the small sample pilots by Schultz et al. (2007) and Nolan et al.”
BackgroundA Simple Model of Herd Behavior
Banerjee, A. V. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118364 · Cited by 6,556 · cited 1×
“[15] Banerjee, Abhijit (1992).”
Cialdini, R. B., Reno, R. R., & Kallgren, C. A. (1990) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.58.6.1015 · Cited by 5,965 · cited 2×
“[32] Cialdini, Robert, Raymond Reno, and Carl Kallgren (1990).”
BackgroundAkerlof, G., & Kranton, R. (2000) · The Quarterly Journal of Economics · doi:10.1162/003355300554881 · Cited by 5,824 · cited 1×
“[5] Akerlof, George, and Rachel Kranton (2000).”
Recent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
Regression discontinuity designs in economics
Lee, D. S., & Lemieux, T. (2010) · Journal of Economic Literature · doi:10.1257/jel.48.2.281 · Cited by 4,534
Regression discontinuity designs: A guide to practice
Imbens, G. W., & Lemieux, T. (2007) · Journal of Econometrics · doi:10.1016/j.jeconom.2007.05.001 · Cited by 3,701
Research works printed but not linked: 2
- Friedrich, 2009, Saving Energy Cost-Effectively: A National Review of the Cost of Energy Saved through Utility-Sector Energy Efficiency Programs
- Lalonde, 1986, Evaluating the Econometric Evaluations of Training Programs, American Economic Review, 76, 604
Cited by
Sorted by citations
Items 1,601–1,700 of 2,706
Loss Aversion and Time-Differentiated Electricity Pricing
Spurlock, C. A., & USDOE (2015) · doi:10.2172/1248927 · Cited by 5
“…between consumer willingness to accept and willingness to pay for changes in electricity service reliability; and Ayres, Raseman and Shih (2009), Allcott (2011), Costa and Kahn (2013) and Allcott and Rogers (2014) who study social norms and electricity conservation using the Opower billing…”
Technology Adoption in Education: Usage, Spillovers and Student Achievement
Bergman, P. (2016) · AEA Randomized Controlled Trials · doi:10.1257/rct.1220-1.0 · Cited by 5
Motivating the Adoption of New Community-Minded Behaviors: An Empirical Test in NigeriaPreprint
Blair, G., Littman, R., & Paluck, E. L. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3033133 · Cited by 4
Nisa, C. F., Bélanger, J. J., Schumpe, B. M., & Faller, D. G. (2020) · Nature Communications · doi:10.1038/s41467-020-14650-0 · Cited by 5
Behavioral intervention to conserve energy in the workplacePreprint
Fanghella, V., D’Adda, G., & Tavoni, M. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3792931 · Cited by 5
“3 more in response to behavioral interventions than those with lower pre-treatment levels (Allcott, 2011; Bonan, Cattaneo, D’Adda, & Tavoni, 2019; Byrne, Nauze, & Martin, 2018; List, Metcalfe, Price, & Rundhammer, 2017; Tiefenbeck et al., 2018).”
BackgroundIs Our Everyday Comfort for Sale? Preferences for Demand Management on the Electricity MarketPreprint
Broberg, T., & Persson, L. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2615874 · Cited by 5
Social Recognition: Experimental Evidence from Blood DonorsPreprint
Goette, L. F., & Tripodi, E. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3886951 · Cited by 6
Sater, R. A., Perona, M., Huillery, É., & Chevallier, C. (2021) · doi:10.31235/osf.io/kw3tn · Cited by 4
Increasing the Demand for Workers with a Criminal Record
Cullen, Z. N., Dobbie, W., & Hoffman, M. (2022) · National Bureau of Economic Research · doi:10.3386/w29947 · Cited by 5
Technology Adoption in Education: Usage, Spillovers and Student Achievement
Bergman, P. (2016) · AEA Randomized Controlled Trials · doi:10.1257/rct.1220 · Cited by 5
The Human Perils of Scaling Smart Technologies: Evidence from Field ExperimentsPreprint
Brandon, A., Clapp, C. M., List, J. A., Metcalfe, R., & Price, M. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3961130 · Cited by 6
Panel Data and Experimental DesignPreprint
Burlig, F., Preonas, L., & Woerman, M. (2017) · doi:10.31222/osf.io/d5eud · Cited by 5
Net Effects of Moral LicensingPreprint
Grieder, M., Schmitz, J., & Schubert, R. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3920355 · Cited by 5
How to Make COVID-19 Contact Tracing Apps work: Insights From Behavioral EconomicsPreprint
Ayres, I., Romano, A., & Sotis, C. (2020) · medRxiv · doi:10.1101/2020.09.09.20191320 · Cited by 5
Who Heeds the Call to Conserve in An Energy Emergency? Evidence from Smart Thermostat DataPreprint
Brewer, D., & Crozier, J. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4360751 · Cited by 5
“Other work focuses on the use of social comparison as a reference point to influence behavior (e.g., Allcott (2011), Ferraro and Price (2013), Brent et al. (2015), and Hallsworth et al. (2017)).”
BackgroundConfronting the energy crisis: changing behaviours to reduce energy consumption
OECD (2023) · OECD policy responses on the impacts of the war in Ukraine · doi:10.1787/5664e8a9-en · Cited by 5
“In a real-world experiment across 600,000 households in the US, r eceiving letters comparing one’s electricity use to that of neighbours has been shown to reduce energy consumption by 2.0% (Allcott, 2011 [28] ).”
BackgroundInfluentialOne Thing Leads to Another: Evidence on the Scope and Persistence of Behavioral SpilloversPreprint
Goetz, A., Mayr, H., & Schubert, R. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4479949 · Cited by 5
How do people interpret social norm messages? Semantic ambiguity and pragmatic inferencesPreprint
Kuang, J., & Bicchieri, C. (2024) · doi:10.31234/osf.io/zmgjn · Cited by 5
Can Information Reduce Nonpayment for Public Utilities? Experimental Evidence from South AfricaPreprint
Szabó, A., & Ujhelyi, G. (2014) · RePEc: Research Papers in Economics · Cited by 5
Are media reports of published research an accurate representation of the research?
Yu, J., Yeung, C., & Soman, D. (2026) · Behavioural Public Policy · doi:10.1017/bpp.2025.5 · Cited by 4
Yue, T. R., Zhou, J. K., Zhang, Y., Parfenov, N., Long, R., Wang, Y., & Zhang, L. (2025) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2025.108635 · Cited by 4
Vu, D., Hussain, A., Vu, D.-M., Zhang, X., & Bui, V. (2025) · Energy Research & Social Science · doi:10.1016/j.erss.2025.104474 · Cited by 5
Assessing Nudge Impact: A Comprehensive Second‐Order Meta‐Analysis
Hu, B., Xia, Z., Guo, Q., Lu, C. F., Constantino, S. M., & Ju, X. (2025) · Journal of Behavioral Decision Making · doi:10.1002/bdm.70053 · Cited by 6
Can reminders promote regular pro-environmental behavior? Experimental evidence from Peru
Fuhrmann-Riebel, H., D’Exelle, B., Vargas, K. L., Tonke, S., & Verschoor, A. (2026) · World Development · doi:10.1016/j.worlddev.2026.107369 · Cited by 4
Ceolotto, S., & Denny, E. (2024) · Journal of Consumer Policy · doi:10.1007/s10603-023-09556-5 · Cited by 4
Nudging for improving mental health treatment-seeking
Schubert, F. T., & Schmidt, N. B. (2024) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2024.101857 · Cited by 4
Raimi, R., & Phiri, A. (2025) · Cogent Social Sciences · doi:10.1080/23311886.2025.2464873 · Cited by 4
“…strategies across different demographic groups (cesareo et al., 2022; cioffi et al., 2015; Kongsbak et al., 2016). thirdly, students are typically open to new ideas and behavioral changes, enhancing the likelihood of engaging with nudging interventions (allcott, 2011; griebler et al., 2022).”
The Human Side of Sustainability: Behavioural Economics in Climate Action and Neutrality
Trivedi, A., Juyal, S. A., & Kandpal, V. (2025) · Climate change management · doi:10.1007/978-3-031-83250-5_15 · Cited by 4
Lockton, D., Bowden, F., Greene, C., Brass, C., & Gheerawo, R. (2013) · eScholarship (California Digital Library) · doi:10.13140/2.1.4297.4407 · Cited by 4
Effects of peer comparisons on low-promotability tasks: Evidence from a university field experiment
Villas‐Boas, S. B., Taylor, R., & Deakin, E. A. (2018) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2018.12.005 · Cited by 4
“Existing research has empirically established a link between social comparisons and other pro-social behaviors, including home electricity use (Allcott, 2011; Ayres et al., 2013), restaurant hygiene (Jin and Leslie, 2003), pollution emissions (Blackman et al., 2004), charitable giving (Frey and…”
BackgroundInfluentialChain Restaurant Calorie Posting Laws, Obesity, and Consumer Welfare
Courtemanche, C., Frisvold, D., Jimenez‐Gomez, D., Ouayogodé, M. H., & Price, M. (2025) · Journal of the European Economic Association · doi:10.1093/jeea/jvaf004 · Cited by 8
“Prior literature has focused on estimating the impacts of such mandates on either calories consumed (e.g. Elbel et al. 2009 , 2011 ; Bollinger et al. 2011 ; Finkelstein et al. 2011 ) or body mass index (BMI) (e.g. Deb and Vargas 2016 ; Restrepo 2017 ).”
Contemporary Research on Management and Business
Noviaristanti, S. (2022) · CRC Press eBooks · doi:10.1201/9781003295952 · Cited by 6
Migchelbrink, K., & Raymaekers, P. (2023) · Journal of Behavioral and Experimental Economics · doi:10.1016/j.socec.2023.102033 · Cited by 8
Green spills: Peer effects in pro-environmental behaviors
Bigler, P., & Janzen, B. (2026) · Journal of Public Economics · doi:10.1016/j.jpubeco.2026.105722 · Cited by 4
Mizobuchi, K., & Yamagami, H. (2024) · Ecological Economics · doi:10.1016/j.ecolecon.2024.108231 · Cited by 4
Beyond information: The power of personalized nudges in promoting vegetable purchases
Sasaki, H., & Ito, N. (2024) · Food Policy · doi:10.1016/j.foodpol.2024.102726 · Cited by 5
Adolescents as energy conservation stewards
Delmas, M. A., Giottonini, P., & Teng, G. (2024) · Sustainable Environment · doi:10.1080/27658511.2024.2408926 · Cited by 5
“Several studies in this field have found that an increase in knowledge about environmental issues does not, on its own, correlate with a change in pro-environmental behavior (Allcott, 2011; Costa & Kahn, 2013; Delmas & Lessem, 2014; Van Valkengoed & Steg, 2019).”
Latkin, C. A., Lee, H., Srinivasan, S., et al. (2025) · Sustainability · doi:10.3390/su17051861 · Cited by 4
The impact of real-time energy consumption feedback on residential gas and electricity usage
Boomsma, M., Vringer, K., & Soest, D. P. V. (2025) · Journal of Environmental Economics and Management · doi:10.1016/j.jeem.2025.103163 · Cited by 4
A Behavioral Finance Framework for Balancing AI Accuracy and Operational Carbon Emissions
Muhebwa, A., & Osman, K. (2025) · ACM Journal on Computing and Sustainable Societies · doi:10.1145/3736646 · Cited by 4
“24:17 [1, 2].”
Information Systems, Service Delivery, and Corruption: Evidence From the Bangladesh Civil Service
Mattsson, M. (2021) · American Economic Journal Applied Economics · doi:10.1257/app.20230672 · Cited by 6
Saha, B., Nahar, L., Rahman, M. M., Kashifi, M. T., Rahman, M. S., & Rahman, S. M. (2025) · Environment Development and Sustainability · doi:10.1007/s10668-025-06598-2 · Cited by 5
CROSSROADS—Promoting Cooperation: Insights and Challenges
Yoeli, E., & Rand, D. G. (2025) · Organization Science · doi:10.1287/orsc.2025.21141 · Cited by 4
Automatic Generating System for Reports on Energy Conservation Tips Based on Electricity Demand Data
Komatsu, H., Nishio, K., Mukai, T., & Shinohara, Y. (2014) · IEEJ Transactions on Electronics Information and Systems · doi:10.1541/ieejeiss.134.1394 · Cited by 4
Using Pro-Environmental Information to Modify Conservation Behavior: Paper Recycling and Reuse
Wichmann, B., Luckert, M. K., Bissonnette, K., et al. (2017) · Recycling · doi:10.3390/recycling2010005 · Cited by 4
“Taxes and quotas are not always politically feasible or practical, and subsidies may add significant burdens to limited government budgets [1].”
BackgroundStryja, C., Dorner, V., & Riefle, L. (2017) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2017.069 · Cited by 5
“Choice architecture can be applied in multiple ways and in a variety of application scenarios (see Table 1 in the Appendix for applications to support environmental conservation behavior) [50], [54]–[66].”
BackgroundHowell, B. L., Deb, P., Ma, S., Reid, R. O., Levy, J. M., Riley, G. F., Conway, P. H., & Shrank, W. H. (2017) · MDM Policy & Practice · doi:10.1177/2381468317707206 · Cited by 5
Social Comparisons and Their Role in Shaping Contemporary Consumers’ Behaviors
Burgiel, A. (2017) · Annales Universitatis Mariae Curie-Skłodowska sectio H Oeconomia · doi:10.17951/h.2017.51.2.47 · Cited by 4
Leveraging Social Norms and Implementation Intentions for Better Health
Liu, C., Wang, W., Gao, G. G., & Agarwal, R. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-67964-8_1 · Cited by 4
Influencing Participant Behavior Through a Notification-Based Recommendation System
Reddy, V., Bushree, B., Chong, M., Law, M. V., Thirani, M., Yan, M., Rollins, S., Banerjee, N., & Joshi, A. P. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-78978-1_9 · Cited by 4
“Allcott [2] study personalized recommendations based on historical usage patterns and demographics.”
BackgroundPersuasion by Proxy: Effects of Vicarious Self-Control Use on Reactions to Persuasion Attempts
Ackerman, J. M. (2018) · Social Cognition · doi:10.1521/soco.2018.36.3.275 · Cited by 4
“Allcott, H. (2011). Social norms and energy conservation. Journal of Public Economics, 95(9), 1082-1095. Bargh, J. A., Schwader, K. L., Hailey, S. E., Dyer, R. L., & Boothby, E. J. (2012). Automaticity in social-cognitive processes. Trends in Cognitive Sciences, 16(12), 593-605. Baumeister, R. F., Bratslavsky, E., Mur…”
BackgroundInfluentialSengupta, J. (2019) · Global Business Review · doi:10.1177/0972150919857013 · Cited by 4
“(2009), Alcott (2011), Costa and Khan (2010) and Ferraro and Miranda (2013). The present experimental study shows that the effect of social comparison treatment is strong on households’ water consumption.”
BackgroundResultInfluentialVenkatesh, G., & Kjeang, A. (2020) · Problemy Ekorozwoju · doi:10.35784/pe.2020.1.14 · Cited by 4
Tsang, F., Burge, P., Diepeveen, S., et al. (2012) · Cited by 4
Kneebone, S., Smith, L. D. G., & Fielding, K. S. (2020) · Urban Water Journal · doi:10.1080/1573062x.2020.1828496 · Cited by 4
Yamashita, H., Kyoi, S., & Mori, K. (2021) · Sustainability · doi:10.3390/su13042284 · Cited by 6
Social dynamics of energy behaviour
(2020) · Nature Energy · doi:10.1038/s41560-020-0595-8 · Cited by 4
Kantorowicz‐Reznichenko, E., & Wells, L. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108759458.038 · Cited by 4
Rauprich, O., Möllenkamp, M., Reimann, J., Huster, S., Schreyögg, J., & Marckmann, G. (2022) · Das Gesundheitswesen · doi:10.1055/a-1709-0591 · Cited by 4
“der Reduzierung des Energieverbrauchs [34], konnte ihre Wirksamkeit nachgewiesen werden.”
BackgroundInfluentialInformation effects on parental choices for early childhood education and care
Burns, S., Davidson, A. M., White, L. A., Hampton, D., & Perlman, M. (2022) · Behavioural Public Policy · doi:10.1017/bpp.2022.18 · Cited by 4
“…we contribute to the literature on information effects in particular on learning and informed choice (Synder et al. , 2004; Roberto et al. , 2010; Allcott, 2011; Ferraro et al. , 2011; Dunlop & Radaelli, 2013), investigating the promise of information as a source of influence on decision making…”
Marcos, A., Hartmann, P., & Barrutia, J. M. (2022) · Environmental Values · doi:10.3197/096327122x16569260361841 · Cited by 7
“…norms has proven to be an effective strategy to encourage pro-environmental behaviours, such as recycling and waste prevention (Cialdini, Reno and Kallgren 1990), reducing energy use (Allcott 2011) and promoting more sustainable means of transportation (Kormos, Gifford and Brown 2015).”
Backgroundvon Loessl, V., & Wetzel, H. (2022) · Utilities Policy · doi:10.1016/j.jup.2022.101416 · Cited by 4
Tax and pollution in a vertically differentiated duopoly: When consumers matter
Ceccantoni, G., Tarola, O., & Vergari, C. (2022) · Metroeconomica · doi:10.1111/meca.12410 · Cited by 5
Social Comparison and Competition: General Frameworks, Focused Models, and Emerging Phenomena
Garcia, S. M., & Tor, A. (2023) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190060800.013.17 · Cited by 4
Linder, N., Sörqvist, P., Lindahl, T., & Ljung, R. (2023) · Resources Conservation & Recycling Advances · doi:10.1016/j.rcradv.2023.200186 · Cited by 7
Liang, X., Wei, Y., & Huang, W. (2024) · Urban Climate · doi:10.1016/j.uclim.2024.102071 · Cited by 5
Zarei, M., & Maghrebi, M. (2019) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000860 · Cited by 4
Urgency and engagement: Empirical evidence from a large-scale intervention on energy use awareness
D’Adda, G., Galliera, A., & Tavoni, M. (2020) · Journal of Economic Psychology · doi:10.1016/j.joep.2020.102275 · Cited by 4
Discriminatory subsidies for energy-efficient technologies and the role of envy
Fanghella, V., Faure, C., Guetlein, M.-C., & Schleich, J. E. (2022) · Resource and Energy Economics · doi:10.1016/j.reseneeco.2022.101298 · Cited by 4
Kaselofsky, J., März, S., & Schüle, R. (2014) · Progress in Industrial Ecology An International Journal · doi:10.1504/pie.2014.066804 · Cited by 4
“Individual behavior Studies show that energy conservation can be induced with interventions targeting individual behavior (Allcott, 2011) and that ideological perspectives are relevant for individual energy demand (Costa and Kahn, 2010).”
BackgroundOne Size Does Not Fit All: Eco-Feedback Programs Require Tailored Feedback
Khosrowpour, A., & Taylor, J. E. (2015) · doi:10.1061/9780784479681.004 · Cited by 4
Grimm, V., Rückel, B., Sölch, C., et al. (2016) · List Forum für Wirtschafts- und Finanzpolitik · doi:10.1007/s41025-016-0027-5 · Cited by 4
Rosenberg, M., & Agnew, G. K. (2013) · Cited by 4
Behavioral responses to real-time individual energy usage information: a large scale experiment
Delmas, M. A. (2014) · Cited by 4
Spence, D. B. (2018) · The IMA volumes in mathematics and its applications · doi:10.1007/978-1-4939-7822-9_2 · Cited by 4
Rad, M. R., Manning, D. T., Suter, J. F., et al. (2021) · Journal of the Association of Environmental and Resource Economists · doi:10.1086/714148 · Cited by 4
Eco-Premium or Eco-Penalty? Eco-Labels and Quality in the Organic Wine Market
(2015) · Apple Academic Press eBooks · doi:10.1201/b18459-14 · Cited by 4
PAY-AS-YOU-GO ELECTRICITY: THE IMPACT OF PREPAY PROGRAMS ON ELECTRICITY CONSUMPTION
Martin, W. M. (2014) · UKnowledge (University of Kentucky) · Cited by 4
Public Goods Provision in the Presence of Heterogeneous Green Preferences
Jacobsen, M. R., LaRiviere, J. S., & Price, M. (2014) · National Bureau of Economic Research · doi:10.3386/w20266 · Cited by 3
Mizobuchi, K., & Takeuchi, K. (2012) · RePEc: Research Papers in Economics · Cited by 4
Are Information Disclosure Mandates Effective? Evidence from the Credit Card MarketPreprint
Seira, E., & Elizondo, A. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2431910 · Cited by 4
Deriving knowledge of household behaviour from domestic electricity usage metering
Dent, I. (2015) · Nottingham ePrints (University of Nottingham) · Cited by 4
Does subsidizing investments in energy efficiency reduce energy consumption? Evidence from GermanyPreprint
Dieckhöner, C. (2012) · RePEc: Research Papers in Economics · Cited by 3
Kahn, M. E., Kok, N., & Liu, P. (2016) · National Bureau of Economic Research · doi:10.3386/w21912 · Cited by 4
Gérard, F. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2097195 · Cited by 4
Pope, D. G., & Sydnor, J. (2015) · Wiley eBooks · doi:10.1002/9781118468333.ch28 · Cited by 6
“A nice example is work by Allcott (2011) that builds on research in social psychology suggesting that people care about social norms.”
Arimura, T. H., & Tarui, N. (2017) · Environmental Economics and Policy Studies · doi:10.1007/s10018-017-0184-7 · Cited by 4
“Power companies conducted various demand side management efforts in residential, commercial, and industrial sectors (Allcott 2011; Arimura et al. 2012; Gillingham et al. 2009).”
BackgroundThe Personality Profiles of Early Adopters of Energy-Efficient TechnologyPreprint
Busic, A., & Fuerst, F. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3042747 · Cited by 4
“Allcott (2011) found that social norms can direct households to mimic the energy saving behaviour of their peers.”
Giaccherini, M., Herberich, D. H., Jimenez‐Gomez, D., List, J. A., Ponti, G., & Price, M. (2019) · National Bureau of Economic Research · doi:10.3386/w26173 · Cited by 4
Behavioral Insights for Foresighted Public Finance
Rapoport, N., Méndez, A. M. R., & Scartascini, C. (2020) · doi:10.18235/0002227 · Cited by 4
How to Make COVID-19 Contact Tracing Apps Work: Insights From Behavioral EconomicsPreprint
Ayres, I., Romano, A., & Sotis, C. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3689805 · Cited by 4
Pro-environmental Behavior and Morality: An Economic Model with Heterogeneous PreferencesPreprint
Ayoubi, C., & Thurm, B. (2020) · SSRN Electronic Journal · doi:10.31219/osf.io/w8afg · Cited by 6
The Hidden Benefits of Corporate Social ResponsibilityPreprint
Grieder, M., Kistler, D., & Schmitz, J. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3744900 · Cited by 4
Huber, J. C., Viscusi, W. K., & Bell, J. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3084815 · Cited by 4
Ajzenman, N., & Bóo, F. L. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3495785 · Cited by 4
Social Interaction and Technology Adoption: Experimental Evidence from Improved Cookstoves in MaliPreprint
Bonan, J., Battiston, P., Bleck, J., LeMay‐Boucher, P., Pareglio, S., Sarr, B. A., & Tavoni, M. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3122557 · Cited by 4
Measuring the Welfare Effects of Residential Energy Efficiency Programs
Greenstone, M., Allcott, H., Welch, K., & Ali, A. (2017) · AEA Randomized Controlled Trials · doi:10.1257/rct.2176-1.0 · Cited by 4
Self-citationFinancing Municipal Water and Sanitation Services in Nairobi’s Informal Settlements
Coville, A., Galiani, S., Gertler, P., & Yoshida, S. (2020) · National Bureau of Economic Research · doi:10.3386/w27569 · Cited by 4
Information Systems, Service Delivery, and Corruption: Evidence from the Bangladesh Civil ServicePreprint
Mattsson, M. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3986989 · Cited by 4
Climate-Friendly Default RulesPreprint
Sunstein, C. R., & Reisch, L. A. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2796786 · Cited by 4
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review