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Measurement error in imputation procedures
Campos, Rodolfo G.; Reggio, Iliana - In: Economics letters 122 (2014) 2, pp. 197-202
Persistent link: https://www.econbiz.de/10010395190
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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 produce inconsistent estimators due to the likely correlation …
Persistent link: https://www.econbiz.de/10013071391
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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
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Regression with an imputed dependent variable
Crossley, Thomas F.; Levell, Peter; Poupakis, Stavros - 2019
Researchers are often interested in the relationship between two variables, with no single data set containing both. A common strategy is to use proxies for the dependent variable that are common to two surveys to impute the dependent variable into the data set containing the independent...
Persistent link: https://www.econbiz.de/10012028000
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Regression with an imputed dependent variable
Crossley, Thomas F.; Levell, Peter; Poupakis, Stavros - 2019
Researchers are often interested in the relationship between two variables, with no single data set containing both. A common strategy is to use proxies for the dependent variable that are common to two surveys to impute the dependent variable into the data set containing the independent...
Persistent link: https://www.econbiz.de/10012030125
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Regression with an imputed dependent variable
Crossley, Thomas F.; Levell, Peter; Poupakis, Stavros - 2020
Researchers are often interested in the relationship between two variables, with no single data set containing both. A common strategy is to use proxies for the dependent variable that are common to two surveys to impute the dependent variable into the data set containing the independent...
Persistent link: https://www.econbiz.de/10012253297
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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
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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
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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 possible measurement error. We combine self-reported data on...
Persistent link: https://www.econbiz.de/10013064297
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Estimating obesity rates in the presence of measurement error
O'Neill, Donal; Sweetman, Olive B. - 2013
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 possible measurement error. We combine self-reported data on...
Persistent link: https://www.econbiz.de/10009721319