Logo
DeutschClear Cookie - decide language by browser settings
Kukush, Alexander and Schneeweiß, Hans (2004): Relative Efficiency of Maximum Likelihood and Other Estimators in a Nonlinear Regression Model with Small Measurement Errors. Collaborative Research Center 386, Discussion Paper 396
[img]
Preview

PDF

211kB

Abstract

We compare the asymptotic covariance matrix of the ML estimator in a nonlinear measurement error model to the asymptotic covariance matrices of the CS and SQS estimators studied in Kukush et al (2002). For small measurement error variances they are equal up to the order of the measurement error variance and thus nearly equally efficient.