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• W2896741199 abstract "We examine the household-specific effects of the introduction of Time-of-Use (TOU) electricity pricing schemes. Using a causal forest (Athey and Imbens, 2016; Wager and Athey, 2018; Athey et al., 2019), we consider the association between past consumption and survey variables, and the effect of TOU pricing on household electricity demand. We describe the heterogeneity in household variables across quartiles of estimated demand response and utilise variable importance measures. Household-specific estimates produced by a causal forest exhibit reasonable associations with covariates. For example, households that are younger, more educated, and that consume more electricity, are predicted to respond more to a new pricing scheme. In addition, variable importance measures suggest that some aspects of past consumption information may be more useful than survey information in producing these estimates." @default.
• W2896741199 created "2018-10-26" @default.
• W2896741199 creator A5069019585 @default.
• W2896741199 creator A5084615597 @default.
• W2896741199 date "2018-10-22" @default.
• W2896741199 modified "2023-09-27" @default.
• W2896741199 title "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes" @default.
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• W2896741199 doi "https://doi.org/10.17863/cam.33793" @default.
• W2896741199 hasPublicationYear "2018" @default.
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