In this paper we study the performance of the GMM estimator in the context of the covariance structure of earnings. Using analytical and Monte Carlo techniques we examine the sensitivity of parameter identification to key features such as panel length, sample size, the degree of persistence of...

In this paper we examine the properties of conditional distribution functions in the presence of several types of misspecification. We derive the properties of the cumulative conditional distribution function in the case of measurement error in the dependent variable, measurement error in the...

In this paper we study the performance of the GMM estimator in the context of the covariance structure of earnings. Using analytical and Monte Carlo techniques we examine the sensitivity of parameter identification to key features such as panel length, sample size, the degree of persistence of...