Computer automation of general-to-specific model selection procedures
From MaRDI portal
Publication:5940860
DOI10.1016/S0165-1889(00)00058-0zbMath0978.91073MaRDI QIDQ5940860
David F. Hendry, Hans-Martin Krolzig
Publication date: 20 August 2001
Published in: Journal of Economic Dynamics \& Control (Search for Journal in Brave)
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Cites Work
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- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- Estimating the dimension of a model
- The Encompassing Principle and its Application to Testing Non-Nested Hypotheses
- Inference in Linear Time Series Models with some Unit Roots
- Tests of Equality Between Sets of Coefficients in Two Linear Regressions
- Heteroscedasticity in Models with Lagged Dependent Variables
- Testing for Higher Order Serial Correlation in Regression Equations when the Regressors Include Lagged Dependent Variables
- Dynamic Econometrics
- The Statistical Consequences of Preliminary Test Estimators in Regression
- Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models
