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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w19928 |
来源ID | Working Paper 19928 |
Adjusting Body Mass for Measurement Error with Invalid Validation Data | |
Charles Courtemanche; Joshua C. Pinkston; Jay Stewart | |
发表日期 | 2014-02-20 |
出版年 | 2014 |
语种 | 英语 |
摘要 | 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. |
主题 | Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Health |
URL | https://www.nber.org/papers/w19928 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/577601 |
推荐引用方式 GB/T 7714 | Charles Courtemanche,Joshua C. Pinkston,Jay Stewart. Adjusting Body Mass for Measurement Error with Invalid Validation Data. 2014. |
条目包含的文件 | 条目无相关文件。 |
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