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.
| Edition : | Vol. 81 - No. 5 |
| File Size : | 1
file
, 2.1 MB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 9 |
| Published : | 05/01/1989 |
