The Effect of Social and Consumption Analytics on Residential Water Demand
| dc.creator | Nemati, Mehdi | |
| dc.creator | Buck, Steven | |
| dc.creator | Soldati, Hilary | |
| dc.date | 2017-04-01T19:26:08Z | |
| dc.date.accessioned | 2026-07-09T11:07:10Z | |
| dc.description | 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%. | |
| dc.identifier | doi:10.22004/ag.econ.252738 | |
| dc.identifier | https://ageconsearch.umn.edu/record/252738/files/Nemati_Buck_Soldati_The_Effect_of_Social_and_Consumption_Analytics_on_Residential_Water_Demand.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/252738 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/624907 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/252738 | |
| dc.title | The Effect of Social and Consumption Analytics on Residential Water Demand | |
| dc.type | Text |