HAC ESTIMATION BY AUTOMATED REGRESSION
From MaRDI portal
Publication:5697627
DOI10.1017/S0266466605050085zbMath1072.62078MaRDI QIDQ5697627
Publication date: 18 October 2005
Published in: Econometric Theory (Search for Journal in Brave)
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (33)
JOINT TIME-SERIES AND CROSS-SECTION LIMIT THEORY UNDER MIXINGALE ASSUMPTIONS ⋮ SPECTRAL FINANCIAL ECONOMETRICS ⋮ An asymptotically F-distributed Chow test in the presence of heteroscedasticity and autocorrelation ⋮ Fixed-smoothing asymptotics for time series ⋮ SIMPLE, ROBUST, AND ACCURATEFANDtTESTS IN COINTEGRATED SYSTEMS ⋮ Asymptotic F tests under possibly weak identification ⋮ Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models ⋮ Asymptotic F test in regressions with observations collected at high frequency over long span ⋮ Simultaneous bandwidths determination for DK-HAC estimators and long-run variance estimation in nonparametric settings ⋮ Spatial Correlation Robust Inference in Linear Regression and Panel Models ⋮ Low Frequency Cointegrating Regression with Local to Unity Regressors and Unknown Form of Serial Dependence ⋮ High-dimensional IV cointegration estimation and inference ⋮ Is Newey-West optimal among first-order kernels? ⋮ An Asymptotic F Test for Uncorrelatedness in the Presence of Time Series Dependence ⋮ Finite-sample corrected inference for two-step GMM in time series ⋮ On a general class of long run variance estimators ⋮ Sieve semiparametric two-step GMM under weak dependence ⋮ Should we go one step further? An accurate comparison of one-step and two-step procedures in a generalized method of moments framework ⋮ Weak \(\sigma\)-convergence: theory and applications ⋮ Asymptotic \(F\) and \(t\) tests in an efficient GMM setting ⋮ Estimation of longrun variance of continuous time stochastic process using discrete sample ⋮ A simple and trustworthy asymptotic \(t\) test in difference-in-differences regressions ⋮ A weighted sieve estimator for nonparametric time series models with nonstationary variables ⋮ Inference without smoothing for large panels with cross-sectional and temporal dependence ⋮ Additive nonparametric models with time variable and both stationary and nonstationary regressors ⋮ Optimal estimation of cointegrated systems with irrelevant instruments ⋮ Sieve inference on possibly misspecified semi-nonparametric time series models ⋮ Robust trend inference with series variance estimator and testing-optimal smoothing parameter ⋮ Simple and powerful GMM over-identification tests with accurate size ⋮ Inference in time series models using smoothed-clustered standard errors ⋮ Stationarity testing under nonlinear models. Some asymptotic results ⋮ A SMOOTHING METHOD THAT LOOKS LIKE THE HODRICK–PRESCOTT FILTER ⋮ Standard Errors for Nonparametric Regression
Cites Work
- Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
- Asymptotics for linear processes
- On the power of stationarity tests using optimal bandwidth estimates
- A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
- An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator
- Automatic Lag Selection in Covariance Matrix Estimation
- New Tools for Understanding Spurious Regressions
This page was built for publication: HAC ESTIMATION BY AUTOMATED REGRESSION