The jackknife and regression with \(AR(1)\) errors
From MaRDI portal
Publication:900085
DOI10.1016/0165-1765(88)90143-7zbMath1328.62427OpenAlexW2039740482MaRDI QIDQ900085
Publication date: 1 January 2016
Published in: Economics Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0165-1765(88)90143-7
Related Items
Resampling a nonlinear regression model in the frequency domain ⋮ On Small Sample Properties of the Wald, LR and LM Tests in a Linear Model with AR(1) Errors ⋮ Edgeworth-adjusting test statistics for ar(1) errors ⋮ Small sample properties of modified Prais-Winston estimators in hypothesis testing in a linear model with \(AR(1)\) errors ⋮ Bootstrapping time series models ⋮ Resampling methods for tests in regression models with autocorrelated errors ⋮ Some improvements for bootstrapping regression estimators under first- order serial correlation ⋮ The size and power of the bias-corrected bootstrap test for regression models with autocorrelated errors
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The properties of some covariance matrix estimators in linear models with AR(1) errors
- Estimating the autocorrelated error model with trended data
- On the impact of the tests for serial correlation upon the test of significance for the regression coefficient
- Bootstrap methods: another look at the jackknife
- ESTIMATION OF LINEAR REGRESSION MODEL WITH AUTOCORRELATED DISTURBANCES
- A Maximum Likelihood Procedure for Regression with Autocorrelated Errors
- Improving the jackknife with special reference to correlation estimation
- First Order Autoregression: Inference, Estimation, and Prediction
- Application of Least Squares Regression to Relationships Containing Auto- Correlated Error Terms