The Implications of Self-Reported Body Weight and Height for Measurement Error in BMI

Apostolos Davillas and Andrew Jones

No 14695, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: We designed an experiment to explore the extent of measurement error in body mass index (BMI), when based on self-reported body weight and height. We find that there is a systematic age gradient in the reporting error in BMI, while there is limited evidence of systematic associations with gender, education and income. This is reassuring evidence for the use of self-reported BMI in studies that use it as an outcome, for example, to analyse socioeconomic gradients in obesity. However, our results suggest a complex structure of non-classical measurement error in BMI, depending on both individuals' and within-household peers' true BMI. This may bias studies that use BMI based on self-reported data as a regressor. Common methods to mitigate reporting error in BMI using predictions from corrective equations do not fully eliminate reporting heterogeneity associated with individual and within-household true BMI. Overall, the presence of non-classical error in BMI highlights the importance of collecting measured body weight and height data in large social science datasets.

Keywords: measurement error; experiment; BMI; reporting bias (search for similar items in EconPapers)
JEL-codes: C18 C50 I10 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2021-08
New Economics Papers: this item is included in nep-agr, nep-exp, nep-hea and nep-isf
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Published - revised version published in: Economics Letters, 2021, 209, 110101

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Journal Article: The implications of self-reported body weight and height for measurement error in BMI (2021)
Working Paper: The implications of self-reported body weight and height for measurement error in BMI (2021)
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