The Effect of Social and Consumption Analytics on Residential Water Demand
30 Pages Posted: 1 Dec 2016 Last revised: 30 Jan 2017
Date Written: December 2, 2016
In this paper, the effects of Dropcountr on water usage were examined using household- level panel data for the City of Folsom water service area from January-2013 to September-2016. Results suggest that the introduction of the Dropcountr services for the population of households participating in Dropcountr causes a aggregate treatment effect of 7% reduction in water usage with a significant variation in the effect across households dependent on baseline consumption quintile. Households in the highest quintile of baseline consumption reduce consumption by an estimated 13% in response to the Dropcountr service.
Keywords: Automated meters, Non-price conservation, California water, Urban water demand
JEL Classification: Q250, D12
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