Describes the problems in combining databases and documents the data involved in empirical testing of electricity demand model in R-1899. The purpose of combining disaggregated data from utilities in Los Angeles County, socioeconomic characteristics and appliance data from the 1970 Census, Fourth Count, and weather data from six points in the county was to provide the policymakers with better information about the efficacy, economic efficiency, and distributional implications of alternative policies with respect to different energy types. By using more disaggregated data than has been available in previous studies, one can expect to obtain more precise and unbiased estimates about energy consumption behavior. The paper concludes with suggested improvements in utility data collection methods and the coding which associates these data with other information. This can be the basis for more reliable analyses in the future.
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