A simple message for autocorrelation correctors: Don't
From MaRDI portal
Publication:1899249
DOI10.1016/0304-4076(94)01671-LzbMath0831.62100OpenAlexW2051145133MaRDI QIDQ1899249
Publication date: 6 February 1996
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0304-4076(94)01671-l
common factorsfirst-order autoregressive errorsautoregressive least squares estimationcorrecting for residual autocorrelationresidual serial correlation
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
Related Items
Typologies of linear dynamic systems and models, Full maximum likelihood estimation of dynamic demand models, Statistical Adequacy and the Testing of Trend Versus Difference Stationarity, A unifying framework for analysing common cyclical features in cointegrated time series, A simple solution for spurious regressions, Testing the currency-substitution model under the German hyperinflation
Cites Work
- 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
- Statistical analysis of cointegration vectors
- Spurious regressions in econometrics
- Cointegration tests in the presence of structural breaks
- Distribution of the Estimators for Autoregressive Time Series With a Unit Root
- Exogeneity
- A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
- Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
- Some Tests of Dynamic Specification for a Single Equation
- Testing Against General Autoregressive and Moving Average Error Models when the Regressors Include Lagged Dependent Variables
- Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data
- Co-Integration and Error Correction: Representation, Estimation, and Testing
- Application of Least Squares Regression to Relationships Containing Auto- Correlated Error Terms
- TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSION. II