2017
DOI: 10.1007/s00181-017-1314-6
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Limited attention in residential energy markets: a regression discontinuity approach

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Cited by 7 publications
(7 citation statements)
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“…This research builds on previous work that has explored the implications of e‐billing participation (Sexton, 2015) and the growing discussion regarding the prevalence of inattention in the energy market (Keefer & Rustamov, 2018). We contribute to discussions surrounding consumption behaviors in the residential energy market by investigating how inattention tied to e‐billing participation alters the consumption behavior of residential energy users.…”
Section: Resultsmentioning
confidence: 99%
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“…This research builds on previous work that has explored the implications of e‐billing participation (Sexton, 2015) and the growing discussion regarding the prevalence of inattention in the energy market (Keefer & Rustamov, 2018). We contribute to discussions surrounding consumption behaviors in the residential energy market by investigating how inattention tied to e‐billing participation alters the consumption behavior of residential energy users.…”
Section: Resultsmentioning
confidence: 99%
“…Research on e-billing by utilities has focused on understanding how tailored messaging impacts energy conservation (Darby, 2006); it has found that the risks of inattention in e-billing include decreased price salience (Finkelstein, 2012;Sexton, 2015), which can lead to unintended increases in consumption. Energy consumption behavior is particularly susceptible to inattention (Keefer & Rustamov, 2018) due to veiled prices, increased search costs, and limits to information access (Hansen & Haas, 2001), suggesting that individuals have overtaxed time and attention limits when making energy-related decisions (Falkinger, 2008).…”
Section: Introductionmentioning
confidence: 99%
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“…We show that understanding of distributional effects can be crucial during the decision of implementing energy efficiency programs and extracting savings cost effectively. Furthermore, better-targeted information can elicit biased beliefs, present bias, inattention, and other decision biases (Allcott, 2016;Keefer & Rustamov, 2017). also suggest that if restricting eligibility is not institutionally feasible, targeted marketing at highresponse groups would also generate savings and can enhance policy costeffectiveness.…”
Section: Concluding Remarks and Policy Implicationsmentioning
confidence: 99%
“…We show that understanding of distributional effects can be crucial during the decision of implementing energy efficiency programs and extracting savings cost effectively. Furthermore, better-targeted information can elicit biased beliefs, present bias, inattention, and other decision biases (Allcott, 2016; Allcott & Taubinsky, 2015; Keefer & Rustamov, 2017). Allcott et al.…”
Section: Concluding Remarks and Policy Implicationsmentioning
confidence: 99%