{"title":"High-frequency analytics and residential water consumption: Estimating heterogeneous effects","authors":"Mehdi Nemati , Steven Buck , Hilary Soldati","doi":"10.1016/j.reseneeco.2025.101500","DOIUrl":null,"url":null,"abstract":"<div><div>This paper estimates how high-frequency online Home Water Use Reports (HWURs) affect household-level water consumption. The HWURs under the study share social comparisons, consumption analytics, leak alerts, and conservation information to residential accounts, primarily through digital communications. The data utilized in this paper is a daily panel dataset that tracks single-family residential households from January 2013 to September 2019. We found a 6.2 % reduction in average daily household water consumption for a typical household enrolled in the program. We estimate heterogeneous treatment effects by the day of the week, the content of push notifications, and baseline consumption quintile. For the latter, we provide an illustrative test to emphasize how mean reversion can severely bias a naïve panel data estimator for heterogeneous treatment effects when the source of heterogeneity is the outcome variable. We also find evidence that leak alerts effectively reduce water consumption immediately following the alert.</div></div>","PeriodicalId":47952,"journal":{"name":"Resource and Energy Economics","volume":"83 ","pages":"Article 101500"},"PeriodicalIF":2.6000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resource and Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0928765525000247","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper estimates how high-frequency online Home Water Use Reports (HWURs) affect household-level water consumption. The HWURs under the study share social comparisons, consumption analytics, leak alerts, and conservation information to residential accounts, primarily through digital communications. The data utilized in this paper is a daily panel dataset that tracks single-family residential households from January 2013 to September 2019. We found a 6.2 % reduction in average daily household water consumption for a typical household enrolled in the program. We estimate heterogeneous treatment effects by the day of the week, the content of push notifications, and baseline consumption quintile. For the latter, we provide an illustrative test to emphasize how mean reversion can severely bias a naïve panel data estimator for heterogeneous treatment effects when the source of heterogeneity is the outcome variable. We also find evidence that leak alerts effectively reduce water consumption immediately following the alert.
期刊介绍:
Resource and Energy Economics provides a forum for high level economic analysis of utilization and development of the earth natural resources. The subject matter encompasses questions of optimal production and consumption affecting energy, minerals, land, air and water, and includes analysis of firm and industry behavior, environmental issues and public policies. Implications for both developed and developing countries are of concern. The journal publishes high quality papers for an international audience. Innovative energy, resource and environmental analyses, including theoretical models and empirical studies are appropriate for publication in Resource and Energy Economics.