We ran one regression

被引:72
作者
Hendry, DF [1 ]
Krolzig, HM
机构
[1] Univ Oxford, Dept Econ, Oxford OX1 2JD, England
[2] Univ Kent, Dept Econ, Canterbury CT2 7NZ, Kent, England
基金
英国经济与社会研究理事会;
关键词
D O I
10.1111/j.1468-0084.2004.102_1.x
中图分类号
F [经济];
学科分类号
02 ;
摘要
The controversy over the selection of 'growth regressions' was precipitated by some remarkably numerous 'estimation' strategies, including two million regressions by Sala-i-Martin [American Economic Review (1997b) Vol. 87, pp. 178-183]. Only one regression is really needed, namely the general unrestricted model, appropriately reduced to a parsimonious encompassing, congruent representation. We corroborate the findings of Hoover and Perez [Oxford Bulletin of Economics and Statistics (2004) Vol. 66], who also adopt an automatic general-to-simple approach, despite the complications of data imputation. Such an outcome was also achieved in just one run of PcGets, within a few minutes of receiving the data set in Fernandez, Ley and Steel [Journal of Applied Econometrics (2001) Vol. 16, pp. 563-576] from Professor Ley.
引用
收藏
页码:799 / 810
页数:12
相关论文
共 42 条
[31]   A flexible tool for model building: The Relevant Transformation of the Inputs Network Approach (RETINA) [J].
Perez-Amaral, T ;
Gallo, GM ;
White, H .
OXFORD BULLETIN OF ECONOMICS AND STATISTICS, 2003, 65 :821-838
[32]  
PEREZAMARAL T, 2004, IN PRESS ECONOMETRIC, V20
[33]   Laws and limits of econometrics [J].
Phillips, PCB .
ECONOMIC JOURNAL, 2003, 113 (486) :C26-C52
[34]   Econometric model determination [J].
Phillips, PCB .
ECONOMETRICA, 1996, 64 (04) :763-812
[35]  
SalaIMartin XX, 1997, AM ECON REV, V87, P178
[36]  
SALAIMARTIN XX, 1997, UNPUB I HAVE JUST RU
[37]   THE BONFERRONI AND THE SCHEFFE MULTIPLE COMPARISON PROCEDURES [J].
SAVIN, NE .
REVIEW OF ECONOMIC STUDIES, 1980, 47 (01) :255-273
[38]  
SCHEFFE H, 1953, BIOMETRIKA, V40, P87, DOI 10.1093/biomet/40.1-2.87
[39]   ESTIMATING DIMENSION OF A MODEL [J].
SCHWARZ, G .
ANNALS OF STATISTICS, 1978, 6 (02) :461-464
[40]  
Temple J., 2000, B ECON RES, V52, P181, DOI DOI 10.1111/1467-8586.00103