AbstractThis study deals with the problem of pooling cross‐section and time‐series results in the estimation of demand functions when the appropriate endogenous variable differs in the two analyses. An iterative estimation procedure which incorporates a necessary distinction between quantity and quality elasticities of demand is developed and tested. This procedure addresses the estimation problems arising from differences between the cross‐section and time‐series models and data, and provides a partial test of the model specification.