Measuring the Implications of Sales and Consumer Inventory Behavior

Working Paper: NBER ID: w11307

Authors: Igal Hendel; Aviv Nevo

Abstract: Temporary price reductions (sales) are common for many goods and naturally result in large increases in the quantity sold. Demand estimation based on temporary price reductions may mis-measure the long run responsiveness to prices. In this paper we quantify the extent of the problem and assess its economic implications. We structurally estimate a dynamic model of consumer choice using two years of scanner data on the purchasing behavior of a panel of households. The results suggest that static demand estimates, which neglect dynamics: (i) overestimate own price elasticities by 30 percent; (ii) underestimate cross-price elasticities to other products by up to a factor of 5; and (iii) overestimate the substitution to the no purchase, or outside option, by over 200 percent.

Keywords: Demand Estimation; Consumer Behavior; Inventory Management; Price Elasticities

JEL Codes: G0


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
price changes (P22)consumer purchasing behavior (D19)
static demand estimates (C51)overestimate own price elasticities (D12)
static models (C69)underestimate cross-price elasticities (C51)
static model (C69)overestimate substitution to no purchase option (C60)
inventory management (M11)dynamics of consumer behavior (D12)
intertemporal substitution effects (D15)mismeasurement of long-run elasticities (C51)

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