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This article proposes to model seasonal patterns of residential water demand using the techniques of seasonal integration and cointegration. The methodology is applied to quarterly aggregate time series data for Tunisia (1980–2007), applying the same increasing, multi-step pricing scheme in the whole country. First, a seasonal cointegration analysis demonstrates the relevance of a pricing policy that increases the size of the lower consumption block in summer. Second, the nonseasonal cointegration analysis reveals a relatively high price elasticity for the highest consumption block. Therefore, we also propose to increase the tariff progressivity to promote water savings. This modified pricing scheme will help to achieve goals of environmental protection and social equity.  相似文献   
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Journal of Quantitative Economics - The main originality of this paper is to model long run patterns of residential water consumption using quarterly non stationary panel data covering the six...  相似文献   
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