Yet another look at the omitted variable bias
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Publication:6134144
DOI10.1080/07474938.2022.2157965OpenAlexW4319785721MaRDI QIDQ6134144
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Publication date: 25 July 2023
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://figshare.com/articles/journal_contribution/Yet_another_look_at_the_omitted_variable_bias/22058432
endogeneityinstrumental variable estimationomitted variable biasdata combinationtwo-sample estimation
Cites Work
- Unnamed Item
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- Beta kernel estimators for density functions
- The Hardness of Conditional Independence Testing and the Generalised Covariance Measure
- Two-step series estimation of sample selection models
- Nonparametric estimation of regression functions with both categorical and continuous data
- Exact mean integrated squared error
- An elementary estimator of the partial linear model
- Robust inference for the two-sample 2SLS estimator
- Consistent estimation of linear regression models using matched~data
- Optimal global rates of convergence for nonparametric regression
- Uniform convergence rate of kernel estimation with mixed categorical and continuous data
- Semiparametric efficiency in GMM models with auxiliary data
- Smooth minimum distance estimation and testing with conditional estimating equations: uniform in bandwidth theory
- SEMIPARAMETRIC ESTIMATION WITH GENERATED COVARIATES
- Econometric Issues in the Analysis of Regressions with Generated Regressors
- EXACT MEAN INTEGRATED SQUARED ERROR OF HIGHER ORDER KERNEL ESTIMATORS
- Testing the Significance of Categorical Predictor Variables in Nonparametric Regression Models
- UNIFORM CONVERGENCE RATES FOR KERNEL ESTIMATION WITH DEPENDENT DATA
- Matching As An Econometric Evaluation Estimator
- Asymptotic Normality and Consistency of the Least Squares Estimators for Families of Linear Regressions
- Multivariate binary discrimination by the kernel method
- Efficient estimation of conditional variance functions in stochastic regression
- Alternative Approximations to the Distributions of Instrumental Variable Estimators
- Optimal Nonparametric Estimation of First-price Auctions
- Double kernel nonparametric estimation in semlparametric econometric models
- Nonparametric Estimation of Models with Generated Regressors
- Consistent Model Specification Tests: Omitted Variables and Semiparametric Functional Forms
- Two-step series estimation and specification testing of (partially) linear models with generated regressors
- Uniform convergence rates for nonparametric estimators smoothed by the beta kernel
- Bias-Corrected Matching Estimators for Average Treatment Effects
- Large Sample Properties of Matching Estimators for Average Treatment Effects
- Consistent Estimation with a Large Number of Weak Instruments
- Consistent Estimation of Models Defined by Conditional Moment Restrictions
- Empirical Likelihood-Based Inference in Conditional Moment Restriction Models
- Two-sample least squares projection
- An equality test across nonparametric regressions
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