Ludovic Stourm (), Raghuram Iyengar () and Eric Bradlow ()
Abstract: We utilize household production theory to address the problem of micro-level demand estimation across complementary goods. According to this theory, consumers buy inputs and combine them to produce final goods from which they derive utility. We use this idea to build a structural model of demand for complements that can be estimated on purchase data in the presence of corner solutions and indivisible packages. We find that, even when reusing the same functional form as some previous models of demand for substitutes, the model can accommodate very different patterns of consumer preferences over complements and lead to a flexible demand system from perfect complementarity to no complementarity. We estimate the model on purchase data from a panel of consumers and show how it can be used to increase the profitability of couponing strategies by taking into account the spillover effect of coupons on demand for complementary categories.
Keywords: Utility Theory; Multicategory Demand Models; Bayesian Estimation
JEL-codes: M31
45 pages, August 22, 2017
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