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The Effect of Social and Consumption Analytics on Residential Water Demand

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  • Nemati, Mehdi
  • Buck, Steven
  • Soldati, Hilary

Abstract

In this paper, the effects of Dropcountr on water usage were examined using household- level panel data for the City of Folsom, California, from January-2013 to September- 2016. Results suggest that the introduction of the Dropcountr services for the population of households participating in Dropcountr causes an aggregate treatment effect of 7% reduction in water usage with a significant variation in the effect across households dependent on baseline consumption quintile. In response to the Dropcountr services, households in the highest quintile of baseline consumption reduce water usage by an estimated 13%.

Suggested Citation

  • Nemati, Mehdi & Buck, Steven & Soldati, Hilary, 2017. "The Effect of Social and Consumption Analytics on Residential Water Demand," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252738, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea17:252738
    DOI: 10.22004/ag.econ.252738
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    More about this item

    Keywords

    Consumer/Household Economics; Demand and Price Analysis; Institutional and Behavioral Economics; Resource /Energy Economics and Policy;
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