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Table of contents
Introduction
1 Smart meter deployment strategies across the EU-27 by 2020 as of July 2013, (European Commission, 2014b)
2 Risk-reward trade-o in dynamic pricing rates (adapted from Faruqui (2012, p.17))
3 A Home Energy Report from Opower
1 Barriers to Acceptance and Adoption of Smart Meters and Incentives to Lower Residential Energy Consumption
1.1 Smart meter ‘Linky’ in deployment in France
1.2 Example of a TOU tari
1.3 Example of a CPP tari
1.4 Example of a PTR tari
1.5 Example of a RTP tari
2 Incentivising Households to Reduce Energy Consumption: A Metaanalysis
2.1 Geographical distribution of included studies
2.2 Treatment eects by year of publication
2.3 Treatment eects by presence of control group
2.4 Treatment eects by use of weather controls
2.5 Treatment eects by collection of socio-demographic data
2.6 Treatment eects by treatment assignment
2.7 Treatment eects by sample selection method
2.8 Treatment eects by study duration
2.9 Funnel plot of treatment eects versus sample size
3 Demand Response as a Common Pool Resource Game: Responses to Incentives to Lower Consumption
3.1 Dynamics of average consumption by treatment
3.2 Dynamics of heating usage by treatment
3.3 Dynamics of appliance usage by treatment
4 Gain and Loss Framing of Incentives: Encouraging Individuals to Provide an Eort for Small Rewards
4.1 A hypothetical value function (Kahneman and Tversky, 1979, p.279) .
4.2 Evolution of average number of correct tables and average diculty per period by treatment (comparison by frame)
4.3 Cumulative distribution functions of number of correct tables in each treatment
4.4 Evolution of average number of correct tables by block of 7 periods by treatment
C Appendix to Chapter 4
C.1 Example table used in task
C.2 Stratégies de déploiement de compteurs intelligents dans l’UE-27 d’ici 2020 à compter de juillet 2013, (European Commission, 2014b)
C.3 Trade-o risque/récompense en matière de tarication dynamique (adapté de Faruqui (2012, p.17))
C.4 Une facture « Home Energy Report » d’Opower
2 Incentivising Households to Reduce Energy Consumption: A Metaanalysis
2.1 Summary of results of previous reviews and meta-analyses
2.2 Descriptive statistics and average treatment eects
2.3 Comparison of weighted average treatment eects by literature type .
2.4 Average treatment eects by study robustness
2.5 Pearson cross-correlation table
2.6 ATE correcting for publication bias
2.7 Estimation of publication bias
2.8 WLS estimation of treatment eects
3 Demand Response as a Common Pool Resource Game: Responses to Incentives to Lower Consumption
3.1 A classication of goods
3.2 Electricity consumption choices
3.3 Number of subjects per treatment
3.4 Mean group consumption by treatment
3.5 Average group consumption (random eects estimation)
3.6 Individual consumption (random eects estimation)
3.7 Eect of feedback on individual consumption in nudge treatment
3.8 Welfare analysis at the group and the individual level
3.9 Environmental sensitivity questionnaire results
3.10 Average individual consumption by treatment and by environmental sensitivity
3.11 Altruism questionnaire results
3.12 Average individual consumption
4 Gain and Loss Framing of Incentives: Encouraging Individuals to Provide an Eort for Small Rewards
4.1 Payos by treatment
4.2 Description of subjects per treatment
4.3 Number of correct tables overall and across all periods
4.4 Average number of correct tables by payo amount in Ex-ante and Ex-post treatments
4.5 Number of correct tables overall and across all periods
4.6 Number of correct tables across dierent stages of the game (standard deviations in brackets)
4.7 Regression estimates of average eort provision over blocks of 7 periods132
4.8 Regression estimates of eect of individual characteristics on average eort provision
A Appendix to Chapter 2
A.1 Studies included in analysis
A.2 Reasons for studies exclusion from the analysis
A.3 OLS estimation of treatment eects
B Appendix to Chapter 3
B.1 Number of groups by consumption level (across all periods)
B.2 Number of groups by consumption level (across all periods)
B.3 Distribution of messages received in nudge treatment by period
C Appendix to Chapter 4
C.1 Wilcoxon rank sum tests between treatments for all periods (p-values)
C.2 Wilcoxon rank sum tests between treatments in period 1 (p-values)
C.3 Wilcoxon rank sum tests between treatments in period 28 (p-values)
C.4 Wilcoxon rank sum tests between treatments in period rst (p-values)
C.5 Wilcoxon rank sum tests between treatments in period last (p-values)
C.6 Wilcoxon rank sum tests of signicant dierences in eort between payo structure (p-values)
C.7 Cross-correlation table
