Parameter constancy, mean square forecast errors, and measuring forecast performance: An exposition, extensions, and illustration
- 1 August 1992
- journal article
- research article
- Published by Elsevier in Journal of Policy Modeling
- Vol. 14 (4) , 465-495
- https://doi.org/10.1016/0161-8938(92)90017-7
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- The out-of-sample forecasting performance of exchange rate models when coefficients are allowed to changeJournal of International Money and Finance, 1989
- Should fixed coefficients be re‐estimated every period for extrapolation?Journal of Forecasting, 1989
- The role of prediction in evaluating econometric modelsProceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences, 1986
- The Encompassing Principle and its Application to Testing Non-Nested HypothesesEconometrica, 1986
- Heteroscedasticity in Models with Lagged Dependent VariablesEconometrica, 1983
- Some Approximations to the Distribution of Econometric Criteria which are Asymptotically Distributed as Chi-SquaredEconometrica, 1980
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for HeteroskedasticityEconometrica, 1980
- When Is the Chow Test UMP?The American Statistician, 1978
- TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSION. IIBiometrika, 1951
- The Goodness of Fit of Regression Formulae, and the Distribution of Regression CoefficientsJournal of the Royal Statistical Society, 1922