Identification and Estimation of Forward-Looking Behavior: The Case of Consumer Stockpiling
Andrew Ching () and
Matthew Osborne ()
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Matthew Osborne: Institute for Management and Innovation and Rotman School of Management, University of Toronto, Ontario M5S 3E6, Canada
Marketing Science, 2020, vol. 39, issue 4, 707-726
Understanding how forward-looking consumers respond to price promotions in storable goods markets is an important area of research in empirical marketing and industrial organization. In prior work, researchers have assumed that consumers in these markets are very forward-looking, and calibrated their weekly discount factors to levels around 0.9995. This calibration has been used because earlier research has assumed that a consumer’s storage cost is a continuous function of inventory, which rules out exclusion restrictions that can be used to identify the discount factor. We show that by properly modeling storage cost as a step function of inventory (because storage cost depends on the number of packages stored, instead of the actual amount of inventory), natural exclusion restrictions arise that allow for the discount factor to be point identified. In an application to a storable good category, we find that weekly discount factors are very heterogeneous across consumers, and are on average 0.71. We show through a counterfactual exercise that if one used a model that fixed the discount factor to be consistent with the standard calibrated value, one would overpredict the effect of increased promotional depth for a product on its quantity sold by 18% in the short term, and 15% in the long term.
Keywords: discount factor; exclusion restrictions; stockpiling; dynamic programming (search for similar items in EconPapers)
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Working Paper: Identification and Estimation of Forward-looking Behavior: The Case of Consumer Stockpiling (2019)
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