4.5 Article

Income Variability, Evolving Diets, and Elasticity Estimation of Demand for Processed Foods in NigeriaJEL codes

Journal

AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS
Volume 103, Issue 4, Pages 1294-1313

Publisher

WILEY
DOI: 10.1111/ajae.12139

Keywords

Demand elasticities; elasticity estimation methods; Engel curves; Nutrition; Processed foods; I15; Q18

Funding

  1. CGIAR Research Program on Agriculture for Nutrition and Health (A4NH)

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This study examines the evolving dietary patterns in Nigeria using household consumption data from 2011 to 2016. It shows that consumption of highly processed foods at home has decreased while food consumed away from home has increased significantly. Estimates of food expenditure elasticities for different food types are sensitive to different estimation approaches, and the study emphasizes the importance of panel methods and household fixed effects to control for confounding factors. The research also suggests that removing variation explained by time-invariant household factors can lead to more linear relationships between food budget shares and overall food expenditure levels.
We present evidence on evolving dietary patterns in Nigeria using six rounds of household consumption data from the Nigerian General Household Survey panel between 2011 and 2016. First, following conventional definitions in the literature, we show that Nigeria has not shown any aggregate increase in consumption of highly processed foods over this period, contrary to patterns observed elsewhere in the region. In fact, consumption of highly processed foods at home has declined, while food consumed away from home, often assumed to be highly processed, has risen substantially. We then show that estimates of food expenditure elasticities of different food types are highly sensitive to different estimation approaches and raise concerns about some frequently used methods in the literature. In the absence of credible exogenous variation, we argue for the importance of panel methods and household fixed effects to control for time invariant factors likely to confound cross-sectional estimates. Finally, we examine semiparametric Engel curves for different food groups and find that apparent curvature in the relationships between food budget shares and overall food expenditure levels in the raw data become nearly linear when removing variation explained by time-invariant household factors.

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