摘要翻译：
我们研究引入分时电价方案对家庭的具体影响。使用因果森林（Athey and Imbens，2016；Wager and Athey,2018；Athey et al.，2019)，我们考虑过去消费与调查变量之间的关联，以及分时电价对家庭电力需求的影响。我们描述了家庭变量在估计需求响应的四分位数上的异质性，并使用了变量重要性度量。由因果森林产生的特定住户估计数显示出与协变量的合理联系。例如，更年轻、受教育程度更高、耗电量更大的家庭预计将对新的定价方案做出更大的反应。此外，可变重要性度量表明，在产生这些估计数时，过去消费信息的某些方面可能比调查信息更有用。
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英文标题：
《Causal Tree Estimation of Heterogeneous Household Response to
  Time-Of-Use Electricity Pricing Schemes》
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作者：
Eoghan O'Neill, Melvyn Weeks
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最新提交年份：
2019
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要：
  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.
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PDF链接：
https://arxiv.org/pdf/1810.09179