interest. We allow the two measurement errors to be nonclassical in the sense that they may both be correlated with the true … regressor, they may be correlated with each other, and we do not require any location normalizations on the measurement errors …

mismeasured. The measurement error need not be classical. Employing the small measurement error approximation, we establish …

We examine the effect of survey measurement error on the empirical relationship between child mental health and …

This paper investigates the effect that covariate measurement error has on a conventional treatment effect analysis … of measurement error. The approximations can be estimated using data on observed outcomes, the treatment indicator and … error contaminated covariates providing an indication of the nature and size of measurement error effects. The …

used is the concept of measurement systems in which a vector of observed variables is expressed as a (possibly nonlinear or …

their framework to consider measurement error due to the use of proxy/representative respondents. First, we document a … reduction in the gender gap can be smaller than what the estimates without taking into account the measurement error might … suggest. We conclude that a careful validation study would be necessary to ascertain the magnitude of the spurious measurement …

sample of X, a contaminated measurement of X*, is ill-posed. This paper shows that measurement error models for self … when modeling measurement errors in self-reported data. We also illustrate that the classical measurement error models may …