Standard Errors for Nonparametric Regression
From MaRDI portal
Publication:5861018
DOI10.1080/07474938.2020.1772563zbMath1480.62066OpenAlexW3035992559MaRDI QIDQ5861018
Ba M. Chu, Oliver B. Linton, David T. Jacho-Chávez
Publication date: 4 March 2022
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474938.2020.1772563
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)
Related Items
Local linear regression with nonparametrically generated covariates for weakly dependent data, Econometric Reviews Honors Peter Charles Bonest Phillips, the Master Econometrician
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
- Unified approach to testing functional hypotheses in semiparametric contexts
- Adaptive estimation of autoregressive models with time-varying variances
- Nonparametric regression with nonparametrically generated covariates
- On internally corrected and symmetrized kernel estimators for nonparametric regression
- Nonparametric regression for locally stationary time series
- Long run variance estimation and robust regression testing using sharp origin kernels with no truncation
- On bootstrap confidence intervals in nonparametric regression
- Weak convergence and empirical processes. With applications to statistics
- Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing
- REGRESSION WITH SLOWLY VARYING REGRESSORS AND NONLINEAR TRENDS
- ASYMPTOTIC THEORY FOR ZERO ENERGY FUNCTIONALS WITH NONPARAMETRIC REGRESSION APPLICATIONS
- ASYMPTOTIC THEORY FOR LOCAL TIME DENSITY ESTIMATION AND NONPARAMETRIC COINTEGRATING REGRESSION
- NONPARAMETRIC ESTIMATORS FOR TIME SERIES
- Structural Nonparametric Cointegrating Regression
- A nonparametric quantile analysis of growth and governance
- LOCAL LIMIT THEORY AND SPURIOUS NONPARAMETRIC REGRESSION
- The Bias of a Heteroskedasticity Consistent Covariance Matrix Estimator
- A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
- Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
- Efficient estimation of conditional variance functions in stochastic regression
- A Semiparametric Maximum Likelihood Estimator
- A Note on the Efficiency of Sandwich Covariance Matrix Estimation
- Identification and estimation of semiparametric two-step models
- Semiparametric Regression for the Applied Econometrician
- Non‐parametric regression under location shifts
- Applied Nonparametric Econometrics
- Optimal Bandwidth Selection in Heteroskedasticity–Autocorrelation Robust Testing
- Fully Nonparametric Estimation of Scalar Diffusion Models
- Likelihood-Based Local Linear Estimation of the Conditional Variance Function
- HAC ESTIMATION BY AUTOMATED REGRESSION
- UNIFORM CONSISTENCY OF NONSTATIONARY KERNEL-WEIGHTED SAMPLE COVARIANCES FOR NONPARAMETRIC REGRESSION