This paper examines the issue of weak identification in maximum likelihood, motivated by problems with estimation and inference in a multidimensional dynamic stochastic general equilibrium model. We show that two forms of the classical score (Lagrange multiplier) test for a simple hypothesis...

In this paper we connect the discrepancy between two estimates of Fisher information, one based on the quadratic variation of the score and the other based on the negative Hessian of the log-likelihood, to weak identification. Classical asymptotic approximations assume that these two estimates...

This paper considers a moments-based nonlinear estimator that is <inline-formula> </inline-formula>-consistent and uniformly asymptotically normal irrespective of the degree of persistence of the forcing process. These properties hold for linear autoregressive models, linear predictive regressions, and certain nonlinear dynamic...

This essay is a survey of the main econometric approaches to estimation of the dynamic stochastic general equilibrium (DSGE) models widely used by central banks and federal reserves. The paper discusses in detail the main econometric problems arising in inferences about the parameters of the...

We study the impact of information revelation on efficiency in auctions. In a constrained-efficient mechanism, i.e. a mechanism that is efficient subject to the incentive-compatibility constraint, any additional information available to bidders increases the expected efficiency of the mechanism....