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Double-length regressions for linear and log-linear regressions with AR(1) disturbances

โœ Scribed by Badi H. Baltagi


Publisher
Springer-Verlag
Year
1999
Tongue
English
Weight
467 KB
Volume
40
Category
Article
ISSN
0932-5026

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This paper is concerned with time-series forecasting based on the linear regression model in the presence of AR(1) disturbances. The standard approach is to estimate the AR(1) parameter, p, and then construct forecasts assuming the estimated value is the true value. We introduce a new approach which