The Use of Time-Series Analysis in Examining Food Safety Issues: The Case of the Peanut Butter Recall

Rafael Bakhtavoryan, Oral Capps, Victoria Salin () and Aramayis Dallakyan

No 285253, Reports from Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center

Abstract: This study presents a time-series analysis of the demand for peanut butter in the wake of the product recall involving Peter Pan and Great Value brands. A 2-lag directed acyclic graphs/Bernanke vector error correction model was estimated using weekly time-series data. The outbreak variable was negatively related to the demand for peanut butter, supporting the hypothesis that foodborne illness reduces consumer demand for a food product category. Hence, time-series models should be complementary to structural/econometric models in examining the impacts of food safety incidents as a check on the robustness of the results.

Keywords: Agribusiness; Agricultural and Food Policy; Food Consumption/Nutrition/Food Safety (search for similar items in EconPapers)
Date: 2018-07-01
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Citations: View citations in EconPapers (5)

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Journal Article: The Use of Time-Series Analysis in Examining Food Safety Issues: The Case of the Peanut Butter Recall (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:tamagr:285253

DOI: 10.22004/ag.econ.285253

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