Publication Date: November 2016
Online retail gives consumers access to an astonishing variety of products. However, the additional value created by this variety depends on the extent to which local retailers already satisfy local demand. To quantify the gains and account for local demand, we use detailed data from an online retailer and propose methodology to address a common issue in such data - sparsity of local sales due to sampling and a signiﬁcant number of local zeros. Our estimates indicate products face substantial demand heterogeneity across markets; as a result, we ﬁnd gains from online variety that are 30% lower than previous studies.
Product Variety, Demand Estimation, Long Tail, Online Retail
JEL Classification Codes: C13, L67, L81