加利福尼亚州奥克兰市东湾市政公用事业区将经济学和统计学的基本工具应用于水需求预测和价格弹性测量。时间序列模型产生良好的预测结果所需的专业知识很少，如果价格上涨显著且数据充分分类，时间序列模型也可以产生有意义的弹性估计。合并时间序列和横截面模型在结构和数据要求方面要求更高，但通常比简单的时间序列分析更好地估计价格变量的影响。包括6个参考文献、表格、图表。

The basic tools of economics and statistics are applied to waterdemand forecasting and price-elasticity measurement by the East Bay Municipal Utility District, Oakland, Calif. Little expertise is required to produce good forecasting results with time-series models, which can also yield meaningful elasticity estimates if price increases are significant and the data are sufficiently disaggregated. Pooled time-series and cross-sectional models are more demanding in their structure and data requirements but often provide better estimates of the impact of price variables than simple time-series analyses. Includes 6 references, tables, figures.