Generic results for establishing the asymptotic size of confidence sets and tests

DOI10.1016/j.jeconom.2020.04.027zbMath1464.62489OpenAlexW3125727978MaRDI QIDQ2227058

Donald W. K. Andrews, Patrik Guggenberger, Xu Cheng

Publication date: 9 February 2021

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jeconom.2020.04.027

zbMATH Keywords

identificationautoregressive modelinferenceweak instrumentsconfidence settestweak identificationuniformasymptotic sizegrid bootstrap

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Parametric tolerance and confidence regions (62F25) Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03) Asymptotic properties of parametric tests (62F05)

Related Items (8)

UNIFORM INFERENCE IN A GENERALIZED INTERVAL ARITHMETIC CENTER AND RANGE LINEAR MODEL ⋮ Uniform inference in linear panel data models with two-dimensional heterogeneity ⋮ Wald, QLR, and score tests when parameters are subject to linear inequality constraints ⋮ Locally robust inference for non-Gaussian linear simultaneous equations models ⋮ A conditional linear combination test with many weak instruments ⋮ Detecting identification failure in moment condition models ⋮ Editors' introduction. Special issue in honor of Jean-Marie Dufour on identification, inference, and causality ⋮ Estimation and inference in the presence of fractional \(d=1/2\) and weakly nonstationary processes

Uses Software

• Stata
• condivreg

Cites Work

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• Limit theory for moderate deviations from a unit root
• Efficient two-sided nonsimilar invariant tests in IV regression with weak instruments
• Robust inference in nonlinear models with mixed identification strength
• Asymptotics for LS, GLS, and feasible GLS statistics in an AR(1) model with conditional heteroskedasticity
• GEL statistics under weak identification
• Maximum likelihood estimation and uniform inference with sporadic identification failure
• Robust confidence sets in the presence of weak instruments
• Applications of subsampling, hybrid, and size-correction methods
• On the uniform asymptotic validity of subsampling and the bootstrap
• Inference for identifiable parameters in partially identified econometric models
• Asymptotic inference for nearly nonstationary AR(1) processes
• Asymptotic properties of statistical estimators in stochastic programming
• On the asymptotics of constrained \(M\)-estimation
• The jackknife and bootstrap
• Bonferroni-based size-correction for nonstandard testing problems
• Nonparametric inference based on conditional moment inequalities
• Incorrect asymptotic size of subsampling procedures based on post-consistent model selection estimators
• Tests with correct size when instruments can be arbitrarily weak
• An improved bootstrap test of stochastic dominance
• Inference Based on Conditional Moment Inequalities
• Estimation and Inference With Weak, Semi-Strong, and Strong Identification
• On the Asymptotic Sizes of Subset Anderson-Rubin and Lagrange Multiplier Tests in Linear Instrumental Variables Regression
• GMM ESTIMATION AND UNIFORM SUBVECTOR INFERENCE WITH POSSIBLE IDENTIFICATION FAILURE
• VALIDITY OF SUBSAMPLING AND “PLUG-IN ASYMPTOTIC” INFERENCE FOR PARAMETERS DEFINED BY MOMENT INEQUALITIES
• On uniform asymptotic risk of averaging GMM estimators
• Estimation and inference with a (nearly) singular Jacobian
• Optimal Two-Sided Invariant Similar Tests for Instrumental Variables Regression
• Uniform Limit Theory for Stationary Autoregression
• ASYMPTOTIC SIZE AND A PROBLEM WITH SUBSAMPLING AND WITH THE m OUT OF n BOOTSTRAP
• Hybrid and Size-Corrected Subsampling Methods
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• Towards a unified asymptotic theory for autoregression
• Instrumental Variables Regression with Weak Instruments
• Estimation When a Parameter is on a Boundary
• GMM with Weak Identification
• Testing When a Parameter is on the Boundary of the Maintained Hypothesis
• Maximum likelihood inference in weakly identified dynamic stochastic general equilibrium models
• Inference in dynamic stochastic general equilibrium models with possible weak identification
• Conditional Inference With a Functional Nuisance Parameter
• Identification‐ and singularity‐robust inference for moment condition models
• Inference for Parameters Defined by Moment Inequalities Using Generalized Moment Selection
• Inference for the Identified Set in Partially Identified Econometric Models
• On optimal inference in the linear IV model
• A more powerful subvector Anderson Rubin test in linear instrumental variables regression
• ASYMPTOTIC SIZE OF KLEIBERGEN’S LM AND CONDITIONAL LR TESTS FOR MOMENT CONDITION MODELS
• ON THE ASYMPTOTIC SIZE DISTORTION OF TESTS WHEN INSTRUMENTS LOCALLY VIOLATE THE EXOGENEITY ASSUMPTION
• Testing Parameters in GMM Without Assuming that They Are Identified
• Uniform Inference in Autoregressive Models
• A Conditional Likelihood Ratio Test for Structural Models
• Tests for Unit Roots and the Initial Condition
• Pivotal Statistics for Testing Structural Parameters in Instrumental Variables Regression
• A Note on Asymptotic Joint Normality
• MODEL SELECTION AND INFERENCE: FACTS AND FICTION
• Estimation of the Parameters of a Single Equation in a Complete System of Stochastic Equations
• On the Distribution of the Likelihood Ratio
• Confidence intervals for autoregressive coefficients near one

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