Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier
David Revelt and Kenneth Train.
Authors registered in the RePEc Author Service: Kenneth Train ()
No E00-274, Economics Working Papers from University of California at Berkeley
David Revelt and Kenneth Train. JEL#: C25, D12, L94. Keywords: energy suppliers, mixed logit, taste parameters In a discrete choice situation, information about the tastes of each sampled customer is inferred from estimates of the distribution of tastes in the population. First, maximum likelihood procedures are used to estimate the distribution of tastes in the population using the pooled data for all sampled customers. Then, the distribution of tastes of each sampled customer is derived conditional on the observed data for that customer and the estimated population distribution of tastes (accounting for uncertainty in the population estimates.) We apply the method to data on residential customers' choice among energy suppliers in conjoint-type experiments. The estimated distribution of tastes provides practical information that is useful for suppliers in designing their offers. The conditioning for individual customers is found to differentiate customers effectively for marketing purposes and to improve considerably the predictions in new situations. May 2000
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Working Paper: Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier (2001)
Working Paper: Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier (2000)
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