Measurement Error and Earnings Dynamics: Some Estimates From the PSID Validation Study
利用PSID验证研究数据，提出测量误差源于暂时性收入波动漏报和白噪声成分的模型，发现收入变化的自相关可被相对准确估计。
Previous empirical work on measurement error in survey earnings data has shown that the variance of the measurement error is roughly constant over time, it is negatively correlated with true earnings, and it is autocorrelated with previous measurement errors. This article proposes a simple model in which the measurement error stems from underreporting of transitory earnings fluctuations and a white-noise component. The model fits well to data from the Panel Study of Income Dynamics Validation Study. The results imply that autocorrelations in the changes of earnings can be estimated relatively accurately despite the presence of measurement error.