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What is Bounding Parameters in Mismeasured Regression about?
This document summarizes a journal article that discusses bounding parameters in a linear regression model when one of the regressors is mismeasured. The key points are: 1) The model assumes the measurement error of the mismeasured regressor is correlated with both the latent true regressor and the regression error term. 2) Additional information, like the variance of the latent true regressor observed from another data set, can help find bounds on the parameters of interest. 3) Bounds on how strongly
- Author
- Aziz Adam
- Language
- EN