Gateway to Think Tanks
来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/t0257 |
来源ID | Technical Working Paper 0257 |
Bias from Classical and Other Forms of Measurement Error | |
Dean R. Hyslop; Guido W. Imbens | |
发表日期 | 2000-08-01 |
出版年 | 2000 |
语种 | 英语 |
摘要 | We consider the implications of a specific alternative to the classical measurement error model, in which the data are optimal predictions based on some information set. One motivation for this model is that if respondents are aware of their ignorance they may interpret the question what is the value of this variable?' as what is your best estimate of this variable?', and provide optimal predictions of the variable of interest given their information set. In contrast to the classical measurement error model, this model implies that the measurement error is uncorrelated with the reported value and, by necessity, correlated with the true value of the variable. In the context of the linear regression framework, we show that measurement error can lead to over- as well as under-estimation of the coefficients of interest. Critical for determining the bias is the model for the individual reporting the mismeasured variables, the individual's information set, and the correlation structure of the errors. We also investigate the implications of instrumental variables methods in the presence of measurement error of the optimal prediction error form and show that such methods may in fact introduce bias. Finally, we present some calculations indicating that the range of estimates of the returns to education consistent with amounts of measurement error found in previous studies. This range can be quite wide, especially if one allows for correlation between the measurement errors. |
主题 | Econometrics ; Estimation Methods |
URL | https://www.nber.org/papers/t0257 |
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/565391 |
推荐引用方式 GB/T 7714 | Dean R. Hyslop,Guido W. Imbens. Bias from Classical and Other Forms of Measurement Error. 2000. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
t0257.pdf(237KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。