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计量经济学上机模型分析方法总结
一、随机误差项的异方差问题的检验与修正
模型一:Depe
de
tVariableLOGYMethodLeastSquaresDate072912Time0903Sample131I
cludedobservatio
s31
Variable
Coefficie
tStdErrortStatisticProb
CLOGX1LOGX2
160252803254160507078
086097801037690048599
186128831359551043385
007320004000000
RsquaredAdjustedRsquaredSEofregressio
SumsquaredresidLoglikelihoodDurbi
Watso
stat
079650607819710170267081174712472491964720
Mea
depe
de
tvarSDdepe
de
tvarAkaikei
focriterio
Schwarzcriterio
FstatisticProbFstatistic
744870403646480611128047235554798060000000
模型二:Depe
de
tVariableLOGYMethodLeastSquaresDate072912Time0919Sample112I
cludedobservatio
s12
(一)异方差的检验1、GQ检验法
Variable
Coefficie
tStdErrortStatisticProb
CLOGX1LOGX2
374462603443690168904
119111300829990118844
314380441490771421228
001190002501890
RsquaredAdjustedRsquaredSEofregressio
SumsquaredresidLoglikelihoodDurbi
Watso
stat
066906505955240084955006495714286381810822
Mea
depe
de
tvarSDdepe
de
tvarAkaikei
focriterio
Schwarzcriterio
FstatisticProbFstatistic
723916101335811881064175983790978340006900
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模型三:Depe
de
tVariableLOGYMethodLeastSquaresDate072912Time0920Sample2031I
cludedobservatio
s12
Variable
Coefficie
tStdErrortStatisticProb
CLOGX1LOGX2
035338102108980856522
160746101582200108601
021983813329427886856
083090215300000
RsquaredAdjustedRsquaredSEofregressio
SumsquaredresidLoglikelihoodDurbi
Watso
stat
087840208513810150490020382474251632123203
Mea
depe
de
tvarSDdepe
de
tvarAkaikei
focriterio
Schwarzcriterio
FstatisticProbFstatistic
776985103903630737527061630132507320000076
进行模型二和模型三两次回归,目的仅是得到出去中间7个样本点以后前后各12个样本点的残差平方和RSS1和RSS2,然后用较大的RSS除以较小的RSS即可求出
F统计量值进行显著性检验。2、怀特检验法(White)
模型一的怀特残差检验结果:
WhiteHeteroskedasticityTest
FstatisticObsRsquared
4920995Probability1335705Probability
00043390009657
TestEquatio
Depe
de
tVariableRESID2MethodLeastSquaresDate052913Time0904Sample131I
cludedobservatio
s31
Variable
Coefficie
tStdErrortStatisticProb
CLOGX1LOGX12
398213705792890041839
288285109160690066866
138r
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