城市水价预测长期边际成本模型的GMM参数估计

论文介绍了GMM方法原理,应用GMM估计方法对城市水价预测长期边际成本数学模型的参数估计进行了研究,通过用水人数、用水量、用水结构、可变成本及固定成本等水价相关因子的参数估计,实现水价长期边际成本的预测,并以苏州市为实例进行了案例研究。研究结果表明:应用GMM的样本估计解决了长期边际成本数学模型需求数据量较大的要求,提高了水价长期边际成本预测模型的实用性。

GMM Estimation for Water Price Forecasting Based on Long-term Marginal Cost Model

This paper described the principle of GMM Methods and studied the parameter estimation of urban water price forecasting mathematical model on long-term marginal cost using the GMM estimation methods. By the parameter estimation for water user number, water consumption, water structure, water supply variable costs and water supply fixed costs, it aims to achieve the long-term marginal cost forecasting of water price by taking Suzhou City as a case. The results showed that by application of GMM sample estimation, the demand of a large amount of data required for mathematical model was resolved and the long-term marginal cost of water price forecasting model’s practicality was improved.