This paper examines the consequences of specification error when transition matrices are used to analyse patterns of intergenerational mobility. We show that classical measurement error in both the child’s and parent’s earnings can lead to biased results, with summary mobility measures...

We address the bias from using potential vs. actual experience in earnings models. Statistical tests reject the classical errors-in-variable framework. The nature of the measurement error is best viewed as a model misspecification problem. We correct for this by modeling actual experience as a...

This paper models the bias from using potential vs actual experience in log wage models. The nature of the problem is best viewed as specification error as opposed to classical errors-in-variables.We correct for the discrepancy between potential and actual work experience and create a predicted...

We analyze the consequences of three types of specification error for conditional distribution functions F (y|a): measurement error in y, measurement error in a and omitted conditioning variables. The paper uses exact results to obtain conditions under which the effect of the misspecification on...