Econometrica: May 2009, Volume 77, Issue 3

Hybrid and Size‐Corrected Subsampling Methods
p. 721-762

Donald W. K. Andrews, Patrik Guggenberger

This paper considers inference in a broad class of nonregular models. The models considered are nonregular in the sense that standard test statistics have asymptotic distributions that are discontinuous in some parameters. It is shown in Andrews and Guggenberger (2009a) that standard fixed critical value, subsampling, and out of bootstrap methods often have incorrect asymptotic size in such models. This paper introduces general methods of constructing tests and confidence intervals that have correct asymptotic size. In particular, we consider a hybrid subsampling/fixed‐critical‐value method and size‐correction methods. The paper discusses two examples in detail. They are (i) confidence intervals in an autoregressive model with a root that may be close to unity and conditional heteroskedasticity of unknown form and (ii) tests and confidence intervals based on a post‐conservative model selection estimator.

Log In To View Full Content

Supplemental Material

Supplement to "Hybrid and Size-Corrected Subsampling Methods"

This file contains 11 sections of results.

Read More View PDF