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....

We consider inference in the linear regression model with one endoge- nous variable and potentially weak instruments. We construct confidence sets for the coefficient on the endogenous variable by inverting the Anderson-Rubin, Lagrange multiplier, and conditional likelihood-ratio tests. Our...

The purpose of this paper is to provide theoretical justification for some existing methods for constructing confidence intervals for the sum of coefficients in autoregressive models. We show that the methods of Stock (1991), Andrews (1993), and Hansen (1999) provide asymptotically valid...

This paper considers a moments based non-linear estimator that is root-T 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, as well as certain...

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

This paper considers instrumental variable regression with a single endogenous variable and the potential presence of weak instruments. I construct confidence sets for the coefficient on the single endogenous regressor by inverting tests robust to weak instruments. I suggest a numerically simple...