## Abstract In this paper we extend Taub (1979) approach for prediction in the context of the variance components model. The extension obtained is based on the two‐way random‐effect model with heteroskedasticity. Prediction functions are then obtained in three heteroskedasticity cases (heteroskedas
Prediction in the Random Effects Model with MA (q) Remainder Disturbances
✍ Scribed by Badi H. Baltagi; Long Liu
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 98 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0277-6693
- DOI
- 10.1002/for.1271
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✦ Synopsis
ABSTRACT
This paper considers the problem of forecasting in a panel data model with random individual effects and MA (q) remainder disturbances. It utilizes a recursive transformation for the MA (q) process derived by Baltagi and Li (Econometric Theory 1994; 10: 396–408) which yields a simple generalized least‐squares estimator for this model. This recursive transformation is used in conjunction with Goldberger's result (Journal of the American Statistical Association 1962; 57: 369–375) to derive an analytic expression for the best linear unbiased predictor, for the __i__th cross‐sectional unit, s periods ahead. Copyright © 2011 John Wiley & Sons, Ltd.
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