The Indirect Impact of Price Deals on Households’ Purchase Decisions Through the Formation of Expected Future Prices

We examine the indirect impact of price deals, which occurs through the formation of expected future prices, on households’ purchase decisions. Two competing learning processes of households’ formation of expected future deals that lead to opposite predictions are proposed. Under a deal-probability learning process, a current deal on a brand raises households’ expectations of a deal on the same brand in the immediate future, while under a deal-timing learning process, a current deal on a brand lowers households’ expectations of a deal on the same brand. We embed each learning specification within a comprehensive econometric framework that simultaneously examines three purchase decisions – incidence, brand choice and quantity – at the household level, while explicitly correcting for two sources of selectivity bias in discrete quantity outcomes. We estimate the proposed model using scanner panel data on paper towels, and find that (1) the deal-probability learning process better describes how households incorporate the deal information into the formation of future price expectations compared to the deal-timing learning process; (2) the indirect impact of price deals is greater for brand-loyals than for brand-switchers; (3) the indirect impact of price deals is greater for larger families, heavy users, less educated and less employed households, and infrequent shoppers. We also show that ignoring the indirect impact of price deals severely overstates the sales effects.