Transcription of MEASUREMENT ERROR MODELS - Stanford University
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MEASUREMENT ERROR MODELS . XIAOHONG CHEN and HAN HONG and DENIS NEKIPELOV1. Key words: Linear or nonlinear errors-in-variables MODELS , classical or nonclassical MEASUREMENT errors, attenuation bias, instrumental variables, double measurements, deconvolution, auxiliary sample JEL Classification: C1, C3. 1 Introduction Many economic data sets are contaminated by the mismeasured variables. The problem of MEASUREMENT errors is one of the most fundamental problems in empirical economics. The presence of MEASUREMENT errors causes biased and inconsistent parameter estimates and leads to erroneous conclusions to various degrees in economic analysis. Techniques for addressing MEASUREMENT ERROR problems can be classified along two dimensions. Different techniques are employed in linear errors-in-variables (EIV) MODELS and in nonlinear EIV.
XIAOHONG CHEN and HAN HONG and DENIS NEKIPELOV1 Key words: Linear or nonlinear errors-in-variables models, classical or nonclassical measurement errors, attenuation bias, instrumental variables, double measurements, ... Given a random sample of nobservations (y i,x i) on (y,x), the least squares estimator is given by: βˆ = P n j=1 (x j−x ...
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