IDENTIFICATION OF PAIRED NONSEPARABLE MEASUREMENT ERROR MODELS
研究了配对不可分离测量误差模型，提出识别共同成分边际分布及条件分布的方法，并应用于双胞胎面板数据，发现教育年限自报和同胞报告的准确模式。
This paper studies the paired nonseparable measurement error models, where two measurements, X and Y , are produced by mutually independent unobservables, U , V , and W , through the system, X = g ( U,V ) and Y = h ( U,W ). We propose restrictions to identify the marginal distribution of the common component U and the conditional distributions of X and Y given U . Applying this method to twin panel data, we find the following robust reporting patterns for years of education: (1) self reports are accurate only when the true years of education are 16 or 18, typically corresponding to advanced university degrees in the US education system; (2) sibling reports are accurate whenever the true years of education are 12, 14, 16, and 18, which are typical diploma years.