Unemployment rates in countries across the world are typically positively correlated with GDP. China is an unusual outlier from the pattern, with abnormally low, and suspiciously stable, unemployment rates according to its official statistics. This paper calculates, for the first time, China's...

This paper reviews recent developments in nonparametric identification of measurement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to...

This paper proposes a new approach to the identification and estimation of production functions. It extends the literature on the structural estimation of production functions, which dates back to the seminal work of Olley and Pakes (1996), by relaxing the scalar-unobservable assumption about...

We consider the estimation of nonlinear models with mismeasured explanatory variables, when information on the marginal distribution of the true values of these variables is available. We derive a semi-parametric MLE that is is shown to be square root n consistent and asymptotically normally...

In many empirical studies, the states that are relevant for economic agents to make decisions may not be included in the data to which researchers have access. This problem often arises in the context of monotone industries. In this paper, we develop the sharp identified sets of structural...

We study dynamic discrete choice models without assuming rational expectations. Agents' beliefs about state transitions are subjective, unknown, and may differ from their objective counterparts. We show that agents' preferences and subjective beliefs are identified in both finite and infinite...

This paper develops identification and estimation methods for dynamic structural models when agents' actions are unobserved by econometricians. We provide conditions under which choice probabilities and latent state transition rules are non-parametrically identified with a continuous state...

This paper seeks to illuminate the uncertainty in official GDP per capita measuresusing auxiliary data. Using satellite-recorded nighttime lights as an additional measurementof true GDP per capita, we provide a statistical framework, in which the error inofficial GDP per capita may depend on the...