Adjusting Body Mass for Measurement Error with Invalid Validation Data

59 Pages Posted: 24 Feb 2014

See all articles by Charles Courtemanche

Charles Courtemanche

Georgia State University - Andrew Young School of Policy Studies

Joshua C. Pinkston

University of Louisville

Jay Stewart

Bureau of Labor Statistics; IZA Institute of Labor Economics

Multiple version iconThere are 2 versions of this paper

Date Written: February 2014

Abstract

We propose a new method for using validation data to correct self-reported weight and height in surveys that do not measure respondents. The standard correction in prior research regresses actual measures on reported values using an external validation dataset, and then uses the estimated coefficients to predict actual measures in the primary dataset. This approach requires the strong assumption that the expectations of measured weight and height conditional on the reported values are the same in both datasets. In contrast, we use percentile ranks rather than levels of reported weight and height. Our approach requires the weaker assumption that the conditional expectations of actual measures are increasing in reported values in both samples. This makes our correction more robust to differences in measurement error across surveys as long as both surveys represent the same population. We examine three nationally representative datasets and find that misreporting appears to be sensitive to differences in survey context. When we compare predicted BMI distributions using the two validation approaches, we find that the standard correction is affected by differences in misreporting while our correction is not. Finally, we present several examples that demonstrate the potential importance of our correction for future econometric analyses and estimates of obesity rates.

Suggested Citation

Courtemanche, Charles and Pinkston, Joshua C. and Stewart, Jay, Adjusting Body Mass for Measurement Error with Invalid Validation Data (February 2014). NBER Working Paper No. w19928. Available at SSRN: https://ssrn.com/abstract=2400273

Charles Courtemanche (Contact Author)

Georgia State University - Andrew Young School of Policy Studies ( email )

P.O. Box 3992
Atlanta, GA 30302-3992
United States
404-413-0082 (Phone)

Joshua C. Pinkston

University of Louisville ( email )

Jay Stewart

Bureau of Labor Statistics ( email )

2 Massachusetts Avenue, NE
Washington, DC 20212
United States

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

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