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Complementarities in Behavioral Interventions: Evidence from a Field Experiment on Energy Conservation
Last registered on December 11, 2019

Pre-Trial

Trial Information
General Information
Title
Complementarities in Behavioral Interventions: Evidence from a Field Experiment on Energy Conservation
RCT ID
AEARCTR-0004865
Initial registration date
December 11, 2019
Last updated
December 11, 2019 12:08 PM EST
Location(s)
Primary Investigator
Affiliation
University of Bonn
Other Primary Investigator(s)
PI Affiliation
University of Bonn, National University of Singapore
PI Affiliation
Friedrich-Alexander Universität Nürnberg-Erlangen, ETH Zurich
PI Affiliation
Max Planck Institute for Research on Collective Goods, University of Cologne, University of Innsbruck
PI Affiliation
University of Cologne
PI Affiliation
University of Bamberg
PI Affiliation
University of Bamberg
Additional Trial Information
Status
Completed
Start date
2016-12-01
End date
2017-07-31
Secondary IDs
Abstract
Behavioral policy often aims at overcoming barriers like imperfect information or limited attention that cause suboptimal consumer decisions. We argue that when multiple barriers are present, it may be important to overcome them all at the same time, as intervention strategies eliminating only a single barrier can be undermined by the remaining barriers. Thus, behavioral interventions that are tailored towards addressing different barriers each can be complements, in the sense that each intervention is more effective in conjunction with the other(s) than in isolation. We conduct a three-month randomized field experiment on energy conservation in a resource-intensive everyday activity, using two different interventions, home energy reports and real-time feedback, which target information and attention barriers to different degrees, respectively. Crucially, we evaluate both the combined intervention as well as each intervention in isolation.

Home energy reports in isolation fail to reduce energy use despite achieving significant knowledge gains, whereas real-time feedback in isolation induces considerable conservation effects. Strikingly, combining both interventions boosts these effects by over 50 percent, thus showcasing how barrier multiplicity can generate complementarities in behavioral interventions.
External Link(s)
Registration Citation
Citation
Fang, Ximeng et al. 2019. "Complementarities in Behavioral Interventions: Evidence from a Field Experiment on Energy Conservation." AEA RCT Registry. December 11. https://doi.org/10.1257/rct.4865-1.2000000000000002.
Experimental Details
Interventions
Intervention(s)
We study the effect of two types of behavioral interventions on energy conservation in a specific everyday activity (showering). The first intervention are home energy reports, which are delivered via email and provide information on water and energy use as well as CO2 emissions due to showering. The second intervention is real-time feedback on water use, which is delivered through a smart meter directly in the shower. Crucially, we also evaluate the combined intervention with both home energy reports and real-time feedback.
Intervention Start Date
2016-12-05
Intervention End Date
2017-02-28
Primary Outcomes
Primary Outcomes (end points)
Energy and water consumption in the shower
Primary Outcomes (explanation)
The primary outcome of interest was whether and how much our interventions induce subjects to conserve resources (energy and water) in the targeted behavior.
Secondary Outcomes
Secondary Outcomes (end points)
Awareness about resource use in the shower (learning), environmental attitude, subjective shower comfort
Secondary Outcomes (explanation)
To assess whether the interventions induced learning about resource use, we ask subjects to estimate their own water use per shower. We collect further survey measures to evaluate whether the interventions had an effect on environmental attitudes, and to evaluate whether there were negative side effects due to lower pleasure of showering (take the fun out of the shower).
Experimental Design
Experimental Design
Initially planned design:
- Real-time feedback (RTF): yes or no
- Home energy reports (HER): yes or no
- If HER yes: Social comparison feedback either exogenous or endogenous (Endo)
-> 6 treatment arms: 1) RTF no + HER no, 2) RTF no + HER yes, 3) RTF no + HER yes + Endo, 4) RTF yes + HER no, 5) RTF yes + HER yes, 6) RTF yes + HER yes + Endo

As we only managed to recruit 361 subjects instead of the planned 600 subjects, we forwent the planned treatment groups 3) and 6) with endogenous social comparison. Instead we implemented a 2x2 experimental design with RTF yes/no and HER yes/no.
Experimental Design Details
Randomization Method
Smart meters with and without real-time feedback are distributed alternatingly from apartment to apartment in each student dormitory. Home energy reports are assigned based on a random draw on the computer.
Randomization Unit
Individual/apartment level (only single-person apartments)
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
361 individuals (intially planned: 600 individuals)
Sample size: planned number of observations
21,000 shower observations (intially planned: 40,000 shower observations)
Sample size (or number of clusters) by treatment arms
90 individuals in each of the 4 groups (initially planned: 100 individuals each, 6 groups)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
Yes
Intervention Completion Date
March 15, 2017, 12:00 AM +00:00
Is data collection complete?
Yes
Data Collection Completion Date
July 31, 2017, 12:00 AM +00:00
Final Sample Size: Number of Clusters (Unit of Randomization)
351 participating subjects, 327 subjects with successful data collection
Was attrition correlated with treatment status?
No
Final Sample Size: Total Number of Observations
21000 shower observations
Final Sample Size (or Number of Clusters) by Treatment Arms
80-90 individuals per treatment group
Data Publication
Data Publication
Is public data available?
No

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