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Do Residential Customers Respond to Hourly Prices? Evidence from a Dynamic Pricing Experiment

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Cited by:

  1. Li, Raymond & Woo, Chi-Keung & Cox, Kevin, 2021. "How price-responsive is residential retail electricity demand in the US?," Energy, Elsevier, vol. 232(C).
  2. Dagoumas, Athanasios S. & Polemis, Michael L., 2017. "An integrated model for assessing electricity retailer’s profitability with demand response," Applied Energy, Elsevier, vol. 198(C), pages 49-64.
  3. Gilbert, Ben & Graff Zivin, Joshua, 2014. "Dynamic salience with intermittent billing: Evidence from smart electricity meters," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 176-190.
  4. Dutta, Goutam & Mitra, Krishnendranath, 2015. "Dynamic Pricing of Electricity: A Survey of Related Research," IIMA Working Papers WP2015-08-03, Indian Institute of Management Ahmedabad, Research and Publication Department.
  5. Ioana Bejan & Carsten Lynge Jensen & Laura M. Andersen & Lars Gårn Hansen, 2018. "The Economic Value of Habits in Household Production – A Field Experiment," IFRO Working Paper 2018/01, University of Copenhagen, Department of Food and Resource Economics.
  6. Gans, Will & Alberini, Anna & Longo, Alberto, 2013. "Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland," Energy Economics, Elsevier, vol. 36(C), pages 729-743.
  7. Tarek Atalla & Simona Bigerna & Carlo Andrea Bollino, 2018. "Energy demand elasticities and weather worldwide," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(1), pages 207-237, April.
  8. Fang, Debin & Wang, Pengyu, 2023. "Optimal real-time pricing and electricity package by retail electric providers based on social learning," Energy Economics, Elsevier, vol. 117(C).
  9. Mekonnen, Alemu & Hassen, Sied & Jaime, Marcela & Toman, Michael & Zhang, Xiao-Bing, 2023. "The effect of information and subsidy on adoption of solar lanterns: An application of the BDM bidding mechanism in rural Ethiopia," Energy Economics, Elsevier, vol. 124(C).
  10. Michael K. Price, 2014. "Using field experiments to address environmental externalities and resource scarcity: major lessons learned and new directions for future research," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 30(4), pages 621-638.
  11. Shen, Meng & Lu, Yujie & Wei, Kua Harn & Cui, Qingbin, 2020. "Prediction of household electricity consumption and effectiveness of concerted intervention strategies based on occupant behaviour and personality traits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
  12. Pahle, Michael & Schill, Wolf-Peter & Gambardella, Christian & Tietjen, Oliver, 2016. "Renewable Energy Support, Negative Prices, and Real-time Pricing," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 37, pages 147-169.
  13. Tatyana Deryugina & Alexander MacKay & Julian Reif, 2020. "The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation," American Economic Journal: Applied Economics, American Economic Association, vol. 12(1), pages 86-114, January.
  14. Schmidt, Stephan & Weigt, Hannes, 2013. "A Review on Energy Consumption from a Socio-Economic Perspective: Reduction through Energy Efficiency and Beyond," Working papers 2013/15, Faculty of Business and Economics - University of Basel.
  15. Manuel Frondel and Gerhard Kussel, 2019. "Switching on Electricity Demand Response: Evidence for German Households," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
  16. Kahn, Matthew E. & Walsh, Randall, 2015. "Cities and the Environment," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 405-465, Elsevier.
  17. Thoa Thi Kim Nguyen & Koji Shimada & Yuki Ochi & Takuya Matsumoto & Hiroshi Matsugi & Takao Awata, 2016. "An Experimental Study of the Impact of Dynamic Electricity Pricing on Consumer Behavior: An Analysis for a Remote Island in Japan," Energies, MDPI, vol. 9(12), pages 1-22, December.
  18. Koichiro Ito & Takanori Ida & Makoto Tanaka, 2023. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," American Economic Review, American Economic Association, vol. 113(11), pages 2937-2973, November.
  19. Joshua Blonz & Karen Palmer & Casey J. Wichman & Derek C. Wietelman, 2025. "Smart Thermostats, Automation, and Time-Varying Prices," American Economic Journal: Applied Economics, American Economic Association, vol. 17(1), pages 90-125, January.
  20. Ren'e Aid & Dylan Possamai & Nizar Touzi, 2018. "Optimal electricity demand response contracting with responsiveness incentives," Papers 1810.09063, arXiv.org, revised May 2019.
  21. Iztok Podbregar & Sanja Filipović & Mirjana Radovanović & Olga Mirković Isaeva & Polona Šprajc, 2021. "Electricity Prices and Consumer Behavior, Case Study Serbia—Randomized Control Trials Method," Energies, MDPI, vol. 14(3), pages 1-12, January.
  22. Michael L. Polemis, 2018. "A mixed integer linear programming model to regulate the electricity sector," Letters in Spatial and Resource Sciences, Springer, vol. 11(2), pages 183-208, July.
  23. Lang, Corey & Siler, Matthew, 2013. "Engineering estimates versus impact evaluation of energy efficiency projects: Regression discontinuity evidence from a case study," Energy Policy, Elsevier, vol. 61(C), pages 360-370.
  24. James I. Stewart, 2020. "Utility Customer Supply of Demand Response Capacity," The Energy Journal, , vol. 41(4), pages 129-152, July.
  25. Luis E. GONZALES & ITO Koichiro & Mar REGUANT, 2022. "The Dynamic Impact of Market Integration: Evidence from renewable energy expansion in Chile," Discussion papers 22050, Research Institute of Economy, Trade and Industry (RIETI).
  26. Capitán, Tabaré & Alpízar, Francisco & Madrigal-Ballestero, Róger & Pattanayak, Subhrendu K., 2021. "Time-varying pricing may increase total electricity consumption: Evidence from Costa Rica," Resource and Energy Economics, Elsevier, vol. 66(C).
  27. Ahmad Faruqui, Sanem Sergici, and Lamine Akaba, 2014. "The Impact of Dynamic Pricing on Residential and Small Commercial and Industrial Usage: New Experimental Evidence from Connecticut," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
  28. Xavier Labandeira & José M Labeaga & Jordi J Teixidó, 2022. "Major Reforms in Electricity Pricing: Evidence from a Quasi-Experiment," The Economic Journal, Royal Economic Society, vol. 132(644), pages 1517-1541.
  29. Genc, Talat S., 2016. "Measuring demand responses to wholesale electricity prices using market power indices," Energy Economics, Elsevier, vol. 56(C), pages 247-260.
  30. Matthew E. Kahn & Nils Kok & Peng Liu, 2016. "Is California More Energy Efficient than the Rest of the Nation? Evidence from Commercial Real Estate," NBER Working Papers 21912, National Bureau of Economic Research, Inc.
  31. Kayo Murakami & Hideki Shimada & Yoshiaki Ushifusa & Takanori Ida, 2022. "Heterogeneous Treatment Effects Of Nudge And Rebate: Causal Machine Learning In A Field Experiment On Electricity Conservation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1779-1803, November.
  32. Simona Bigerna and Carlo Andrea Bollino, 2015. "A System Of Hourly Demand in the Italian Electricity Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  33. John A. List & Robert D. Metcalfe & Michael K. Price & Florian Rundhammer, 2017. "Harnessing Policy Complementarities to Conserve Energy: Evidence from a Natural Field Experiment," Experimental Economics Center Working Paper Series 2017-05, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
  34. Goette, Lorenz & Tiefenbeck, Verena & Degen, Kathrin & Fleisch, Elgar & Tasic, Vojkan & Lalive, Rafael & Staake, Thorsten, 2016. "Overcoming Salience Bias: How Real-Time Feedback Fosters Resource Conservation," CEPR Discussion Papers 11480, C.E.P.R. Discussion Papers.
  35. ITO Koichiro & IDA Takanori & TANAKA Makoto, 2015. "The Persistence of Moral Suasion and Economic Incentives: Field experimental evidence from energy demand," Discussion papers 15014, Research Institute of Economy, Trade and Industry (RIETI).
  36. Llerena, D. & Roussillon, B. & Teyssier, S. & Buckley, P. & Delinchant, B. & Ferrari, J. & Laranjeira, T. & Wurtz, F., 2021. "Demand response in the workplace: A field experiment," Working Papers 2021-01, Grenoble Applied Economics Laboratory (GAEL).
  37. Ioannidis, Filippos & Kosmidou, Kyriaki & Savva, Christos & Theodossiou, Panayiotis, 2021. "Electricity pricing using a periodic GARCH model with conditional skewness and kurtosis components," Energy Economics, Elsevier, vol. 95(C).
  38. ITO Koichiro & ZHANG Shuang, 2020. "Reforming Inefficient Energy Pricing: Evidence from China," Discussion papers 20062, Research Institute of Economy, Trade and Industry (RIETI).
  39. Bo wang & Nana Deng & Wenhui Zhao & Zhaohua Wang, 2022. "Residential power demand side management optimization based on fine-grained mixed frequency data," Annals of Operations Research, Springer, vol. 316(1), pages 603-622, September.
  40. Nakai, Miwa & von Loessl, Victor & Wetzel, Heike, 2024. "Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan," Ecological Economics, Elsevier, vol. 223(C).
  41. Koichiro Ito, 2015. "Asymmetric Incentives in Subsidies: Evidence from a Large-Scale Electricity Rebate Program," American Economic Journal: Economic Policy, American Economic Association, vol. 7(3), pages 209-237, August.
  42. Hiroko Okajima & Shigeharu Okajima & Kenji Takeuchi, 2019. "Corporate responses to public pressures and price increases:Evidence from Japan's electricity crisis," Discussion Papers 1908, Graduate School of Economics, Kobe University.
  43. Meeks, Robyn C. & Omuraliev, Arstan & Isaev, Ruslan & Wang, Zhenxuan, 2023. "Impacts of electricity quality improvements: Experimental evidence on infrastructure investments," Journal of Environmental Economics and Management, Elsevier, vol. 120(C).
  44. Hill, Alexander, 2022. "Smoothing the curve: An estimation of the cost of demand variation and the impact of solar and wind," Resource and Energy Economics, Elsevier, vol. 70(C).
  45. Luis E. Gonzales & Koichiro Ito & Mar Reguant, 2023. "The Investment Effects of Market Integration: Evidence From Renewable Energy Expansion in Chile," Econometrica, Econometric Society, vol. 91(5), pages 1659-1693, September.
  46. Krishnendranath Mitra & Goutam Dutta, 2021. "A novel method of market segmentation and market study for dynamic pricing of retail electricity in India: an experimental approach in a university setup," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(2), pages 162-184, April.
  47. Harding, Matthew & Lamarche, Carlos, 2019. "A panel quantile approach to attrition bias in Big Data: Evidence from a randomized experiment," Journal of Econometrics, Elsevier, vol. 211(1), pages 61-82.
  48. Dorothee Charlier and Berangere Legendre, 2019. "A Multidimensional Approach to Measuring Fuel Poverty," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
  49. Matthew E. Kahn, 2017. "Will Climate Change Cause Enormous Social Costs for Poor Asian Cities?," Asian Development Review, MIT Press, vol. 34(2), pages 229-248, September.
  50. Boom, Anette & Schwenen, Sebastian, 2012. "Real-time Pricing in Power Markets: Who Gains?," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 66062, Verein für Socialpolitik / German Economic Association.
  51. Valeria Di Cosmo, Sean Lyons, and Anne Nolan, 2014. "Estimating the Impact of Time-of-Use Pricing on Irish Electricity Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
  52. Ida, Takanori & Motegi, Naoya & Ushifusa, Yoshiaki, 2019. "Behavioral study of personalized automated demand response in the workplace," Energy Policy, Elsevier, vol. 132(C), pages 1009-1016.
  53. Gill, Carrie & Lang, Corey, 2018. "Learn to conserve: The effects of in-school energy education on at-home electricity consumption," Energy Policy, Elsevier, vol. 118(C), pages 88-96.
  54. Shirley Pon, 2017. "The Effect of Information on TOU Electricity Use: An Irish Residential Study," The Energy Journal, , vol. 38(6), pages 55-79, November.
  55. Ahmed Ismail & Mustafa Baysal, 2023. "Dynamic Pricing Based on Demand Response Using Actor–Critic Agent Reinforcement Learning," Energies, MDPI, vol. 16(14), pages 1-19, July.
  56. Delmas, Magali A. & Fischlein, Miriam & Asensio, Omar I., 2013. "Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012," Energy Policy, Elsevier, vol. 61(C), pages 729-739.
  57. Ioana Bejan & Carsten Lynge Jensen & Laura M. Andersen & Lars Gårn Hansen, 2019. "The hidden cost of real time electricity pricing," IFRO Working Paper 2019/03, University of Copenhagen, Department of Food and Resource Economics.
  58. Bert Willems & Juulia Zhou, 2020. "The Clean Energy Package and Demand Response: Setting Correct Incentives," Energies, MDPI, vol. 13(21), pages 1-19, October.
  59. Jesse Burkhardt & Kenneth Gillingham & Praveen K. Kopalle, 2019. "Experimental Evidence on the Effect of Information and Pricing on Residential Electricity Consumption," NBER Working Papers 25576, National Bureau of Economic Research, Inc.
  60. Qiu, Yueming & Colson, Gregory & Wetzstein, Michael E., 2017. "Risk preference and adverse selection for participation in time-of-use electricity pricing programs," Resource and Energy Economics, Elsevier, vol. 47(C), pages 126-142.
  61. Robert Huang & Matthew E. Kahn, 2024. "United States Electric Utility Adaptation to Natural Hazards and Green Power Mandates," Economics of Disasters and Climate Change, Springer, vol. 8(2), pages 263-282, July.
  62. Matsukawa, Isamu, 2018. "Information acquisition and residential electricity consumption: Evidence from a field experiment," Resource and Energy Economics, Elsevier, vol. 53(C), pages 1-19.
  63. Kapeller, Rudolf & Cohen, Jed J. & Kollmann, Andrea & Reichl, Johannes, 2023. "Incentivizing residential electricity consumers to increase demand during periods of high local solar generation," Energy Economics, Elsevier, vol. 127(PA).
  64. Ambrosius, Mirjam & Grimm, Veronika & Sölch, Christian & Zöttl, Gregor, 2018. "Investment incentives for flexible demand options under different market designs," Energy Policy, Elsevier, vol. 118(C), pages 372-389.
  65. Shirley Pon, 2017. "The Effect of Information on TOU Electricity Use: an Irish residential study," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
  66. Boßmann, Tobias & Eser, Eike Johannes, 2016. "Model-based assessment of demand-response measures—A comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1637-1656.
  67. Strong, Derek Ryan, 2017. "The Early Diffusion of Smart Meters in the US Electric Power Industry," Thesis Commons 7zprk, Center for Open Science.
  68. John A. List & Michael K. Price, 2013. "Using Field Experiments in Environmental and Resource Economics," NBER Working Papers 19289, National Bureau of Economic Research, Inc.
  69. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
  70. Takanori Ida, Kayo Murakami, and Makoto Tanaka, 2016. "Electricity demand response in Japan: Experimental evidence from a residential photovoltaic power-generation system," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
  71. Jerzy Andruszkiewicz & Józef Lorenc & Agnieszka Weychan, 2019. "Demand Price Elasticity of Residential Electricity Consumers with Zonal Tariff Settlement Based on Their Load Profiles," Energies, MDPI, vol. 12(22), pages 1-22, November.
  72. Jesse Kaczmarski & Benjamin Jones & Janie Chermak, 2022. "Determinants of Demand Response Program Participation: Contingent Valuation Evidence from a Smart Thermostat Program," Energies, MDPI, vol. 15(2), pages 1-18, January.
  73. Guojun He & Takanao Tanaka, 2019. "Energy Saving Can Kill: Evidence from the Fukushima Nuclear Accident," HKUST IEMS Working Paper Series 2019-67, HKUST Institute for Emerging Market Studies, revised Sep 2019.
  74. Scott P. Burger & Christopher R. Knittel & Ignacio J. Perez-Arriaga & Ian Schneider & Frederik vom Scheidt, 2020. "The Efficiency and Distributional Effects of Alternative Residential Electricity Rate Designs," The Energy Journal, , vol. 41(1), pages 199-240, January.
  75. Wang, Wenjie & Ida, Takanori & Shimada, Hideki, 2020. "Default effect versus active decision: Evidence from a field experiment in Los Alamos," European Economic Review, Elsevier, vol. 128(C).
  76. Ladenburg, Jacob & Jensen, Kirsten Lund & Lodahl, Christa & Keles, Dogan, 2022. "Testing for non-linear willingness to accept compensation for controlled electricity switch-offs using choice experiments," Energy, Elsevier, vol. 238(PB).
  77. Phuong Ho, 2023. "Nonlinear pricing, biased consumers, and regulatory policy," Journal of Economics, Springer, vol. 138(2), pages 149-164, March.
  78. Lang, Corey & Okwelum, Edson, 2015. "The mitigating effect of strategic behavior on the net benefits of a direct load control program," Energy Economics, Elsevier, vol. 49(C), pages 141-148.
  79. Lang, Corey & Qiu, Yueming (Lucy) & Dong, Luran, 2023. "Increasing voluntary enrollment in time-of-use electricity rates: Findings from a survey experiment," Energy Policy, Elsevier, vol. 173(C).
  80. Scott P. Burger & Christopher R. Knittel & Ignacio J. Pérez-Arriaga & Ian Schneider & Frederik vom Scheidt, 2019. "The Efficiency and Distributional Effects of Alternative Residential Electricity Rate Designs," NBER Working Papers 25570, National Bureau of Economic Research, Inc.
  81. Takanori Ida & Naoya Motegi & Yoshiaki Ushifusa, 2016. "Behavioral Study of Personalized Automated Demand Response in Workplaces," Discussion papers e-16-010, Graduate School of Economics , Kyoto University.
  82. Considine, Timothy J. & Sapci, Onur, 2016. "The effectiveness of home energy audits: A case study of Jackson, Wyoming," Resource and Energy Economics, Elsevier, vol. 44(C), pages 52-70.
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  86. Verena Tiefenbeck & Lorenz Goette & Kathrin Degen & Vojkan Tasic & Elgar Fleisch & Rafael Lalive & Thorsten Staake, 2018. "Overcoming Salience Bias: How Real-Time Feedback Fosters Resource Conservation," Management Science, INFORMS, vol. 64(3), pages 1458-1476, March.
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