On bootstrap inconsistency and Bonferroni-based size-correction for the subset Anderson-Rubin test under conditional homoskedasticity
DOI10.1016/j.jeconom.2018.07.003zbMath1402.62028OpenAlexW2885597932MaRDI QIDQ1792487
Firmin Doko Tchatoka, Wenjie Wang
Publication date: 12 October 2018
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2018.07.003
Edgeworth expansionplug-in estimatorAnderson-Rubin testweak identificationbootstrap inconsistencyasymptotic sizesubvector inferenceBonferroni-based size-correctionlinear IV model
Applications of statistics to economics (62P20) Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03)
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Cites Work
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- Monte Carlo tests with nuisance parameters: a general approach to finite-sample inference and nonstandard asymptotics
- Further results on projection-based inference in IV regressions with weak, collinear or missing instruments
- Bootstrap validity for the score test when instruments may be weak
- The impact of a Hausman pretest on the size of a hypothesis test: the panel data case
- Applications of subsampling, hybrid, and size-correction methods
- A new method of projection-based inference in GMM with weakly identified nuisance parameters
- On the validity of the formal Edgeworth expansion
- Bonferroni-based size-correction for nonstandard testing problems
- Bootstrapping the GMM overidentification test under first-order underidentification
- 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
- ASYMPTOTIC DISTRIBUTION OF JIVE IN A HETEROSKEDASTIC IV REGRESSION WITH MANY INSTRUMENTS
- Exact Tests and Confidence sets in Linear Regressions with Autocorrelated Errors
- Optimal Two-Sided Invariant Similar Tests for Instrumental Variables Regression
- SUBSET HYPOTHESES TESTING AND INSTRUMENT EXCLUSION IN THE LINEAR IV REGRESSION
- ASYMPTOTIC SIZE AND A PROBLEM WITH SUBSAMPLING AND WITH THE m OUT OF n BOOTSTRAP
- Hybrid and Size-Corrected Subsampling Methods
- A New Method for Testing Separate Families of Hypotheses
- The Bias of Instrumental Variable Estimators of Simultaneous Equation Systems
- Some Properties of a Modification of the Limited Information Estimator
- Alternative Approximations to the Distributions of Instrumental Variable Estimators
- P Values Maximized Over a Confidence Set for the Nuisance Parameter
- Instrumental Variables Regression with Weak Instruments
- A Test in the Presence of Nuisance Parameters
- Some Impossibility Theorems in Econometrics With Applications to Structural and Dynamic Models
- GMM with Weak Identification
- Choosing the Number of Instruments
- Instrumental variable estimation with heteroskedasticity and many instruments
- A Practical Two-Step Method for Testing Moment Inequalities
- Bootstrap Critical Values for Tests Based on Generalized-Method-of-Moments Estimators
- On bootstrap validity for specification tests with weak instruments
- Identification-robust inference for endogeneity parameters in linear structural models
- Approximations to the non-central chi-square distribution
- Consistent Estimation with a Large Number of Weak Instruments
- Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments
- A Conditional Likelihood Ratio Test for Structural Models
- Pivotal Statistics for Testing Structural Parameters in Instrumental Variables Regression
- Econometric Theory and Practice
- Tables of percentage points of non-central x
- Estimation of the Parameters of a Single Equation in a Complete System of Stochastic Equations
- Inverse Tables of Probabilities of Errors of the Second Kind
- Bootstrap inference for instrumental variable models with many weak instruments
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