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[1] The existing literature on nonresidential water demand has primarily employed crosssectional models based on time-aggregated data. In this study, we analyze panel data models of commercial water demand that build on monthly observations of water use and marginal prices for individual customers. This allows for a closer investigation of the temporal aspects of commercial water demand. We show that commercial water demand can exhibit strong seasonal patterns. These temporal consumption patterns aggravate simultaneity problems associated with block pricing if they are not explicitly accounted for in demand specifications.

Qualitative and quantitative procedures have been used to aggregate communities and counties for regional economic analysis. However, Once aggregated, communities and counties are perceived as homogeneous entities; this often belies the diversity that may exist. In order to capture the non-uniqueness of counties, fuzzy-set clustering procedures were employed to derive a typology of Nevada counties. Fuzzy-set clustering procedures employing fuzzy-set membership values and possibility theory derive county membership values associated for specific county clusters. Information from fuzzy partitions yields a means for posterior evaluation of county clusters which is independent of the algorithm producing them. From county membership values calculated from results of the fuzzy-set clustering analysis for Nevada, specific economic development programs for aggregate and individual counties are derived.