Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/238112
Authors: 
Davillas, Apostolos
Jones, Andrew M.
Year of Publication: 
2021
Series/Report no.: 
GLO Discussion Paper No. 919
Publisher: 
Global Labor Organization (GLO), Essen
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 withinhousehold 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.
Subjects: 
BMI
Experiment
Measurement error
Reporting bias
JEL: 
I10
C18
C50
Document Type: 
Working Paper

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