Urban Water Demand with Periodic Error Correction
利用美国167个城市10年月度面板数据，通过周期性误差校正模型估计居民和商业部门的用水需求，并分部门、月份和时间跨度计算水价弹性。
Monthly demand for publicly supplied water to U.S. residences and businesses is estimated from a 10-year panel of 167 cities. A periodic error correction model integrates monthly, annual, and long-run time scales. Statistical consistency is validated by unit root tests adapted to the monthly frequency. Water and wastewater price elasticity of demand is estimated by sector, calendar month, and time horizon. <i></i>