O'Neill, Donal (2016) Bounding obesity rates in the presence of self-reporting errors. Empirical Economics, 50 (3). pp. 857-871. ISSN 0377-7332

Preview

Download (507kB) | Preview

Abstract

We examine what, if anything, we can learn about obesity rates using self-reported BMI once we allow for possible measurement error. We use self-reported obesity rates, along with estimates of misclassification rates, to derive upper and lower bounds for the true population obesity rate. These bounds are then used as the basis for obesity rankings. Our results show, that once measurement error is taken into account, it is difficult to obtain meaningful rankings across European countries. However, our analysis shows that it is still possible to rank US states by obesity status using only minimal assumptions on the nature of the error process. As a result, cross-state variation in self-reported BMI, when used in conjunction with our bounds, may still provide a useful source of information for understanding the causes and consequences of obesity in the USA.

Item Type:	Article
Keywords:	Obesity; Self-reporting errors; Misclassification; Bounds;
Academic Unit:	Faculty of Social Sciences > Economics, Finance and Accounting
Item ID:	8480
Identification Number:	https://doi.org/10.1007/s00181-015-0958-3
Depositing User:	Donal O'Neill
Date Deposited:	19 Jul 2017 10:41
Journal or Publication Title:	Empirical Economics
Publisher:	Springer Verlag
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads