An approach is developed to examine the impact of product characteristics on choice using a quantity-dependent hedonic model with retail panel data.Since panel data for individual products from retail settings can include a large number of zero sales, a modification g5210t-p90 of the zero-inflated Poisson (ZIP) regression model is proposed for estimation.Results for this model compare favorably to results for alternative ackermans lace curtains hurdle and negative binomial models.
An application of this methodology to restaurant wine sales produces useful results regarding sensory characteristics, price, and origin/varietal information.