Default Effects and Follow-On Behavior: Evidence from an Electricity Pricing Program

Meredith Fowlie, Catherine Wolfram, C. Anna Spurlock, Annika Todd, Patrick Baylis, Peter Cappers

NBER Working Paper No. 23553
Issued in June 2017
NBER Program(s):Environment and Energy Economics

We study default effects in the context of a residential electricity pricing program. We implement a large-scale randomized controlled trial in which one treatment group is given the option to opt-in to time-based pricing while another is defaulted into the program but allowed to opt-out. We provide dramatic evidence of a default effect – a significantly higher fraction of households defaulted onto the time-based pricing plan enroll in the program, even though opting out simply involved making a phone call or clicking through to a website. A distinguishing feature of our empirical setting is that we observe follow-on behavior subsequent to the default manipulation. Specifically, we observe customers’ electricity consumption in light of the pricing plan they face. This, in conjunction with randomization of the default provision, allows us to separately identify the electricity consumption response of “complacent” households (i.e., those who only enroll in time-based pricing if assigned to the opt-out treatment). We find that the complacent households do reduce electricity use during higher priced peak periods, though significantly less on average compared to customers who actively opt in. However, with complacents comprising approximately 75 percent of the population, we observe significantly larger average demand reductions among consumers assigned to the opt-out group. We examine the extent to which the behavioral responses we observe are consistent with a standard model of switching costs, or with alternative mechanisms including inattention, and preferences constructed based on contextual features of the choice setting.

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Supplementary materials for this paper:

• online appendix

Acknowledgments and Disclosures

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Document Object Identifier (DOI): 10.3386/w23553

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