Prediction in TwoEquation Linear Regression Models
2005 ◽
Vol 57
(3-4)
◽
pp. 195-208
Keyword(s):
In regression models using time series data, the errors are generally correlated. The sample residuals contain useful information for predicting postsample observations. This information, which is generally ignored, has been exploited here in deriving the best linear unbiased predictors in a 2equation linear regression model. The gain in efficiency of the proposed predictors over the usual generalized least squares predictors has been obtained and the particular case when error terms in the two equations follow AR(l) process has also been disscussed.
Keyword(s):
2021 ◽
Vol 23
(09)
◽
pp. 126-127
2019 ◽
Vol 30
(4)
◽
pp. 307-316
◽
2019 ◽
Vol 2019
◽
pp. 1-9
◽
2001 ◽
Vol 37
(2)
◽
pp. 209-217
◽
Keyword(s):