Food Price Elasticities for Policy Interventions: Estimates from a Virtual Supermarket Experiment in a Multistage Demand Analysis with (Expert) Prior Information

Liana Jacobi, Nhung Nghiem, Andrés Ramírez‐Hassan and Tony Blakely
Authors registered in the RePEc Author Service: Andrés Ramírez Hassan ()

The Economic Record, 2021, vol. 97, issue 319, 457-490

Abstract: Food price elasticities (PEs) are essential for evaluating the impacts of food pricing interventions to improve dietary and health outcomes. This paper innovates the use of experimental purchasing data from a recent New Zealand virtual supermarket experiment to estimate PEs for a large set of disaggregated foods across major food groups relevant for food policies in a Bayesian multistage demand framework. We propose the use of available prior information to elicit prior demand parameter assumptions that are consistent with published PEs and economic assumptions and are weighted according to expert knowledge, increasing precision in PE inference and policy predictions, and yielding somewhat stronger price effects.

Date: 2021
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https://doi.org/10.1111/1475-4932.12640

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Persistent link: https://EconPapers.repec.org/RePEc:bla:ecorec:v:97:y:2021:i:319:p:457-490

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