Wild bootstrap inference for instrumental variables regressions with weak and few clusters
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Publication:6554210
DOI10.1016/j.jeconom.2024.105727MaRDI QIDQ6554210
Publication date: 12 June 2024
Published in: Journal of Econometrics (Search for Journal in Brave)
Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)
Cites Work
- Unnamed Item
- Generalized reduced rank tests using the singular value decomposition
- Bootstrap validity for the score test when instruments may be weak
- Identification of peer effects through social networks
- Inference with dependent data using cluster covariance estimators
- On bootstrap validity for specification testing with many weak instruments
- On bootstrap inconsistency and Bonferroni-based size-correction for the subset Anderson-Rubin test under conditional homoskedasticity
- Asymptotic theory for clustered samples
- Simple and trustworthy cluster-robust GMM inference
- Uniform nonparametric inference for time series
- Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors
- Asymptotic theory and wild bootstrap inference with clustered errors
- Placebo inference on treatment effects when the number of clusters is small
- Cluster-robust inference: a guide to empirical practice
- Estimation and Inference With Weak, Semi-Strong, and Strong Identification
- t-Statistic Based Correlation and Heterogeneity Robust Inference
- Wild Bootstrap Tests for IV Regression
- The Bias and Moment Matrix of the General k-Class Estimators of the Parameters in Simultaneous Equations
- Bootstrap inference in a linear equation estimated by instrumental variables
- Some Properties of a Modification of the Limited Information Estimator
- Identification and Estimation of Local Average Treatment Effects
- Alternative Approximations to the Distributions of Instrumental Variable Estimators
- Instrumental Variables Regression with Weak Instruments
- TESTS OF RANK
- GMM with Weak Identification
- Conditional Inference With a Functional Nuisance Parameter
- Conditional Linear Combination Tests for Weakly Identified Models
- Inference on Causal Effects in a Generalized Regression Kink Design
- Randomization Tests Under an Approximate Symmetry Assumption
- SAMPLE MEANS, SAMPLE AUTOCOVARIANCES, AND LINEAR REGRESSION OF STATIONARY MULTIVARIATE LONG MEMORY PROCESSES
- Inference with Many Weak Instruments
- Identification‐ and singularity‐robust inference for moment condition models
- Improved inference on the rank of a matrix
- Consistent Estimation with a Large Number of Weak Instruments
- Testing Parameters in GMM Without Assuming that They Are Identified
- Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments
- Estimation of the Parameters of a Single Equation in a Complete System of Stochastic Equations
- When Should You Adjust Standard Errors for Clustering?
- Bootstrap inference for instrumental variable models with many weak instruments
- Bootstrap With Cluster‐Dependence in Two or More Dimensions
- One instrument to rule them all: the bias and coverage of just-ID IV
- Instrumental variable estimation with first-stage heterogeneity
- Network cluster-robust inference
- Wild Bootstrap and Asymptotic Inference With Multiway Clustering
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