This paper descrbes procedures for aggregating disaggregate choice models after estimation of the choice model parameters to obtain an aggregated model structure. This structure consists of a disaggregate choice model, a representation of the distribution of explanatory variables, and an aggregation procedure. A taxonomy of aggregation procedures that classifies models according to their structural characteristics is developed. Errors in prediction by use of alternative aggregation procedures are empiriclly estimatd. Analysis o these errors leads to conclusions about the performance of different aggregation procedures.