@article{739fbb485cc7488da62735963ad5ec84,
title = "Household water demand seasonal elasticities: A Stone-Geary model under an increasing block rate structure",
abstract = "Using household-level panel data from Tucson, Arizona, and a unique set of highly disaggregated control variables, we estimate residential demand for water via a Stone-Geary specification. The Stone-Geary functional form allows price elasticity of demand to vary with quantity consumed, price, and income and enables estimation of a threshold level of consumption below which demand is considered perfectly price inelastic. An encompassing test of consumer price response reveals evidence favoring a lagged average price specification rather than one using lagged marginal price. The estimated model also finds substantial seasonal variation in price elasticity and declining consumer price responsiveness.",
author = "Clarke, {Andrew J.} and Colby, {Bonnie G.} and Thompson, {Gary D.}",
note = "Funding Information: The authors appreciate research funding from the Bureau of Reclamation{\textquoteright}s Enhancing Water Supply Reliability Program and the National Oceanic and Atmospheric Administration (NOAA) via the Climate Assessment for the Southwest (CLIMAS) at the University of Arizona. We acknowledge Tucson Water for providing the primary data for this analysis, the Advanced Resource Technologies (ART) Lab at the University of Arizona and the Arizona Remote Sensing Center (ARSC) for assistance with geospatial data and satellite imagery, and Pima County staff for assistance with traffic counter records and precipitation gauge records. We would also like to thank Bruce Beattie for his input regarding theoretical demand models, Tom Arnold of Tucson Water for his assistance in obtaining billing data and rate information, Ron Klawitter for his previous work using the Tucson Water dataset that laid the groundwork for this analysis, George Frisvold for his insight into the relationship between water consumption and parcel greenness, and Patrick Cizek for his contributions to the development of our instrumental variables models. Publisher Copyright: {\textcopyright} 2017 by the Board of Regents of the University of Wisconsin System.",
year = "2017",
month = nov,
day = "1",
doi = "10.3368/le.93.4.608",
language = "English (US)",
volume = "93",
pages = "608--630",
journal = "Land Economics",
issn = "0023-7639",
publisher = "University of Wisconsin Press",
number = "4",
}