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The consequences of measurement error when estimating the impact of obesity on income

O'Neill, Donal; Sweetman, Olive B. - In: IZA Journal of Labor Economics 2 (2013), pp. 1-20

This paper examines the consequences of using self-reported measures of BMI when estimating the effect of BMI on income for women using both Irish and US data. We find that self-reported BMI is subject to substantial measurement error and that this error deviates from classical measurement...

Persistent link: https://www.econbiz.de/10009764388

The Consequences of Measurement Error When Estimating the Impact of BMI on Labour Market Outcomes

O'Neill, Donal - 2012

This paper uses data on both self-reported and true measures of individual Body Mass Index (BMI) to examine the nature of measurement error in self-reported BMI and to look at the consequences of using self-reported measures when estimating the effect of BMI on economic outcomes. In keeping with...

Persistent link: https://www.econbiz.de/10013097857

The consequences of measurement error when estimating the impact of BMI on labour market outcomes

O'Neill, Donal; Sweetman, Olive B. - 2012

. -- obesity ; non-classical measurement error ; auxiliary data ; instrumental variables …

Persistent link: https://www.econbiz.de/10009665420

Estimating Obesity Rates in the Presence of Measurement Error

O'Neill, Donal - 2014

Reliable measures of obesity are essential in order to develop effective policies to tackle the costs of obesity. In … this paper we examine what, if anything, we can learn about obesity rates using self-reported BMI once we allow for … data to derive upper and lower bounds for the population obesity rate for ten European countries.For men it is possible to …

Persistent link: https://www.econbiz.de/10013064297

Estimating obesity rates in the presence of measurement error

O'Neill, Donal; Sweetman, Olive B. - 2013

Persistent link: https://www.econbiz.de/10009721319

Measurement Error in Imputation Procedures

Campos, Rodolfo G. - 2013

We study how estimators used to impute consumption in survey data are inconsistent due to measurement error in consumption. Previous research suggests instrumenting consumption to overcome this problem. We show that, if additional regressors are present, then instrumenting consumption may still...

Persistent link: https://www.econbiz.de/10013071391

Embrace the noise : it is OK to ignore measurement error in a covariate, sometimes

Dong, Hao; Millimet, Daniel L. - 2023

In linear regression models, measurement error in a covariate causes Ordinary Least Squares (OLS) to be biased and inconsistent. Instrumental Variables (IV) is a common solution. While IV is also biased, it is consistent. Here, we undertake an asymptotic comparison of OLS and IV in the case...

Persistent link: https://www.econbiz.de/10014388449

Non-classical measurement error in instrumental variables estimation : an application to the medical care costs of obesity

Biener, Adam I.; Meyerhoefer, Chad D.; Cawley, John H. - In: Health economics 33 (2024) 11, pp. 2558-2574

Persistent link: https://www.econbiz.de/10015097165

The consequences of measurement error when estimating the impact of BMI on labour market outcomes

O'Neill, Donal; Sweetman, Olive B. - 2012

Persistent link: https://www.econbiz.de/10009763447

Chapter 7. Endogeneity in Empirical Corporate Finance 1

Roberts, Michael R.; Whited, Toni M. - 2013

This chapter discusses how applied researchers in corporate finance can address endogeneity concerns. We begin by reviewing the sources of endogeneity—omitted variables, simultaneity, and measurement error—and their implications for inference. We then discuss in detail a number of...

Persistent link: https://www.econbiz.de/10014025557