Default Effects And Follow-On Behaviour: Evidence From An Electricity Pricing Program
[The Impact of Presumed Consent Legislation on Cadaveric Oorgan Donation: A Cross-country Study”]
Citations
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Cited by:
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"Choosing Who Chooses: Selection‐Driven Targeting in Energy Rebate Programs,"
Econometrica, Econometric Society, vol. 94(1), pages 225-247, January.
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- Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.
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"Motivated Reasoning, Information Avoidance, and Default Bias,"
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- Lynn Conell‐Price & Carolyn Kousky & Howard Kunreuther, 2022. "Encouraging resiliency through autoenrollment in supplemental flood insurance coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 1109-1137, December.
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"The (alleged) environmental and social benefits of dynamic pricing,"
Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 574-593.
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- Aldy, Joseph E., 2022. "Learning How to Build Back Better through Clean Energy Policy Evaluation," RFF Working Paper Series 22-15, Resources for the Future.
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"Analysis of a capacity-based redispatch mechanism,"
Energy Economics, Elsevier, vol. 149(C).
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"Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan,"
Ecological Economics, Elsevier, vol. 223(C).
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"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.
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"Smart Thermostats, Automation, and Time-Varying Prices,"
American Economic Journal: Applied Economics, American Economic Association, vol. 17(1), pages 90-125, January.
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