We consider a situation where the distribution of a random variable is being estimated by the empirical distribution of noisy measurements of that variable. This is common practice in, for example, teacher value-added models and other fixed-effect models for panel data. We use an asymptotic...

Measuring occupational mobility from the Current Population Survey using recall (retrospective) or linked panel responses (longitudinal) generates substantially different outcomes, both in levels and trends. Using a generalized method of moments technique, we estimate the actual level of...

Estimators that exploit an instrumental variable to correct for misclassification in a binary regressor typically assume that the misclassification rates are invariant across all values of the instrument. We show that this assumption is invalid in routine empirical settings. We derive a new...

This paper proposes a method for empirically mapping psychological personality traits to economic preferences. Careful modelling of random components of decision making is crucial to establishing the long supposed but empirically elusive link between economic and psychological systems for...

Kotlarski's identity has been widely used in applied economic research based on repeated-measurement or panel models with latent variables. However, how to conduct inference for these models has been an open question for two decades. This paper addresses this open problem by constructing a novel...