This paper considers inference in log-linearized dynamic stochastic general equilibrium (DSGE) models with weakly …

We consider the problem of inference on a class of sets describing a collection of admissible models as solutions to a … parameters, making them especially appealing in the target applications. We show that the resulting inference procedures are more …

estimation and inference procedures for both actual and counterfactual growth incidence curves, based on general functions of the … test statistics of interest for those general functions, and proposes resampling methods to implement inference in practice …

Inference about productivity change over time based on data envelopment (DEA) has focused primarily on the Malmquist …

. Estimation and inference can, however, be carried out with the generalized method of moments (GMM) by suitably aggregating … assumptions are proposed in the literature - often lacking a thorough discussion of the implications for estimation and inference … conditions required to establish identification and consistency, derive the asymptotic properties, and carry out inference for …