An Empirical Model of Quantity Discounts with Large Choice Sets

Alessandro Iaria, and Ao Wang
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Alessandro Iaria,: University of Bristol and CEPR
Ao Wang: University of Warwick

The Warwick Economics Research Paper Series (TWERPS) from University of Warwick, Department of Economics

Abstract: We introduce a Generalized Nested Logit model of demand for bundles that can be estimated sequentially and virtually eliminates any challenge of dimensionality related to large choice sets. We use it to investigate quantity discounts for carbonated soft drinks by simulating a counterfactual with linear pricing. The prices of quantities up to 1L decrease by −31.5% while those of larger quantities increase by +14.8%. Purchased quantities decrease by −20.4%, associated added sugar by −23.8%, and industry profit by −20.5%. Consumer surplus however reduces only moderately, suggesting that linear pricing may be effective in limiting added sugar intake.

Date: 2021
New Economics Papers: this item is included in nep-dcm and nep-ind
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:wrk:warwec:1378

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