(SAGE Publications, 2015) Blackwell, Matthew; Honaker, James; King, Gary
We extend a unified and easy-to-use approach to measurement error and missing data. Black-well, Honaker and King (2014) gives an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we other more precise technical details; more sophisticated measurement error model specifications and estimation procedures; and analyses to assess the approach's robustness to correlated measurement errors and to errors in categorical variables. These results support using the technique to reduce bias and increase efficiency in a wide variety of empirical research.
