Computer automation of general-to-specific model selection procedures

被引:133
作者
Krolzig, HM
Hendry, DF
机构
[1] Univ Oxford, Dept Econ, Oxford OX1 3UL, England
[2] Univ Oxford Nuffield Coll, Oxford OX1 1NF, England
关键词
econometric methodology; model selection; encompassing; data mining; Monte Carlo experiments; money demand; consumption function;
D O I
10.1016/S0165-1889(00)00058-0
中图分类号
F [经济];
学科分类号
02 ;
摘要
Disputes about econometric methodology partly reflect a lack of evidence on alternative approaches. We reconsider econometric model selection from a computer-automation perspective, focusing on general-to-specific reductions, embodied in PcGets. Starting from a general congruent model, standard testing procedures eliminate statistically insignificant variables, with diagnostic tests checking the validity of reductions, ensuring a congruent final selection. Since jointly selecting and diagnostic testing has eluded theoretical analysis, we study modelling strategies by simulation. The Monte Carlo experiments show that PcGets recovers the DGP specification from a general model with size and power close to commencing from the DGP itself. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:831 / 866
页数:36
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