Best linear unbiased prediction in the two-way error components model with AR(1) error processes

被引:0
作者
Kelik, Serge Tayim [1 ]
Soh, Patrice Takam [1 ]
Kouassi, Eugene [2 ]
Fotso, Simeon [3 ]
机构
[1] Univ Yaounde I, Dept Math, Yaounde, Cameroon
[2] Univ Montreal, Dept Econ, Montreal, PQ, Canada
[3] Univ Yaounde I, Higher Teacher Training Coll, Dept Math, Yaounde, Cameroon
关键词
BLUP; Data and regression results; Extensions; Gain in efficiency; Prediction functions; Two-way error components model; CROSS-SECTION; SUFFICIENCY; ESTIMATORS; INVERSE;
D O I
10.1080/03610918.2025.2519508
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, the derivation of the Best Linear Unbiased Predictor (BLUP) in the context of the two-way error components model is obtained under fairly general conditions. Then the prediction functions, parameter estimations as well as the gains in efficiency are subsequently derived. The results obtained are extended taking into account autoregressive processes of order 1 (AR(1)) in the error terms. Some Monte Carlo experiments conducted indicate that the model performs reasonably well for some suitable values of N and T.
引用
收藏
页数:23
相关论文
共 43 条
[1]  
Amemiya T., 1971, International Economic Review, V12, P1, DOI DOI 10.2307/2525492
[2]  
Baillie R. T., 1999, Analysis of panels and limited dependent variable models, P255
[3]  
Baksalary J. K., 1992, A note on the concepts of sufficiency in the general Gauss Markov model: A coordinate-free approach
[4]   LINEAR TRANSFORMATIONS PRESERVING BEST LINEAR UNBIASED ESTIMATORS IN A GENERAL GAUSS-MARKOFF MODEL [J].
BAKSALARY, JK ;
KALA, R .
ANNALS OF STATISTICS, 1981, 9 (04) :913-916
[5]   POOLING CROSS SECTION AND TIME SERIES DATA IN ESTIMATION OF A DYNAMIC MODEL - DEMAND FOR NATURAL GAS [J].
BALESTRA, P ;
NERLOVE, M .
ECONOMETRICA, 1966, 34 (03) :585-&
[6]  
Baltagi B. H., 1988, Econometric Theory, V4, P171, DOI [10.1017/S0266466600011920, DOI 10.1017/S0266466600011920]
[7]  
Baltagi B. H., 2008, Econometric Analysis of Panel Data, VFourth ed, DOI DOI 10.1007/978-3-030-53953-5
[8]  
Baltagi BH, 2025, EMPIR ECON, V68, P2041, DOI 10.1007/s00181-024-02695-9
[9]   Forecasting with panel data [J].
Baltagi, Badi H. .
JOURNAL OF FORECASTING, 2008, 27 (02) :153-173
[10]   Forecasting with unbalanced panel data [J].
Baltagi, Badi H. ;
Liu, Long .
JOURNAL OF FORECASTING, 2020, 39 (05) :709-724