Correcting for Self-Reporting Bias in BMI: A Multiple Imputation Approach

Donal O'Neill

Economics Department Working Paper Series from Department of Economics, National University of Ireland - Maynooth

Abstract: Measurement error in BMI is known to be a complex process has serious consequences for traditional estimators. In this paper I examine the extent to which Stochastic Multiple Imputation approaches can successfully addressing this problem. Using both Monte Carlo simulations and real world data I show how the MI approach can provide an effective solution to measurement error in BMI in appropriate circumstances. The MI approach yields consistent estimates that efficiently use all the available data.

Pages: 15 pages
Date: 2015
New Economics Papers: this item is included in nep-ecm and nep-hea
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