ABSTRACT:This paper develops a model that can be used to forecast the residential elasticity of demand for water within a district. Long‐term water conservation programs and revenue and cost decisions hinge crucially on a determination of this elasticity. This study then pools cross‐sectional (census) and time series data to generate elasticity forecasts for the Oakland urban a
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