Annexes B : Estimation du modèle
spécifié
Tableau n°12 : Estimation du modèle de
long terme
Dependent Variable: LPIBR
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Method: Least Squares
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Date: 05/11/21 Time: 21:21
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Sample: 1990Q1 2019Q4
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Included observations: 120
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Variable
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Coefficient
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Std. Error
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t-Statistic
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Prob.
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C
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29.26741
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2.434853
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12.02019
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0.0000
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LCREDB
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-0.007962
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0.121226
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-0.065682
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0.9477
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LTDIR
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0.349928
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0.170758
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2.049261
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0.0427
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LTINFL
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-0.064758
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0.090008
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-0.719472
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0.4733
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EXPORTNET
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3.05E-06
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2.41E-07
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12.63630
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0.0000
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LTCHOM
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-1.949013
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0.496361
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-3.926607
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0.0001
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R-squared
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0.848452
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Meandependent var
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20.03133
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Adjusted R-squared
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0.841805
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S.D. dependent var
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2.820315
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S.E. of regression
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1.121744
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Akaike info criterion
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3.116353
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Sumsquaredresid
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143.4473
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Schwarz criterion
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3.255728
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Log likelihood
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-180.9812
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Hannan-Quinn criter.
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3.172954
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F-statistic
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127.6474
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Durbin-Watson stat
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0.346739
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Prob(F-statistic)
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0.000000
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Tableau n°12 : Estimation du modèle de
court terme
Dependent Variable: D(LPIBR)
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Method: Least Squares
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Date: 05/11/21 Time: 21:37
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Sample (adjusted): 1990M02 2019M12
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Included observations: 359 afteradjustments
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HAC standard errors & covariance (Bartlett kernel, Newey-West
fixed
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bandwidth =
6.0000)
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Variable
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Coefficient
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Std. Error
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t-Statistic
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Prob.
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C
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-0.013670
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0.018240
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-0.749453
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0.4541
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D(LCREDB)
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-0.116672
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0.184634
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-0.631911
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0.5279
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D(LTDIR)
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0.291131
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0.274652
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1.060000
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0.2899
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D(LTINFL)
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0.021062
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0.068286
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0.308431
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0.0079
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D(LTCHOM)
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-0.651303
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0.660129
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-0.986631
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0.3245
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RESIDU(-1)
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-0.215375
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0.014053
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-15.32591
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0.0047
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R-squared
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0.819785
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Meandependent var
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-0.015037
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Adjusted R-squared
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0.806468
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S.D. dependent var
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0.381610
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S.E. of regression
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0.372639
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Akaike info criterion
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0.880156
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Sumsquaredresid
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49.01740
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Schwarz criterion
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0.945058
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Log likelihood
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-151.9880
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Hannan-Quinn criter.
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0.905965
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F-statistic
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4.489228
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Durbin-Watson stat
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1.994010
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Prob(F-statistic)
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0.000558
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Wald F-statistic
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0.313486
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Prob(Wald F-statistic)
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0.904783
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Annexes C : Validation du modèle
1. Test d'autocorrélation des erreurs
Tableau n°13: Breusch-Godfrey Serial Correlation LM
test.
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F-statistic
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0.003125
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Prob. F(2,351)
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0.9969
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Obs*R-squared
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0.006392
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Prob. Chi-Square(2)
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0.9968
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Graphique 1 : Test de normalité de Jarque-Bera des
résidus
Tableau 2 : Corrélogramme des résidus
après estimation du modèle
2. Hétéroscédasticité des
erreurs
Tableau 15 : Test d'ARCH
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F-statistic
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0.003828
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Prob. F(1,356)
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0.9507
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Obs*R-squared
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0.003849
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Prob. Chi-Square(1)
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0.9505
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3. Tests de stabilité du modèle
spécifié
Tableau 16 : Test RESET de Ramsey de spécification
du modèle
Ramsey RESET Test
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Equation: UNTITLED
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Specification: D(LPIBR) C D(LCREDB) D( LTDIR) D(LTINFL)
D(LTCHOM)
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RESIDU(-1)
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Omitted Variables: Squares of fitted values
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Value
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Df
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Probability
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t-statistic
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0.019498
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352
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0.9845
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F-statistic
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0.000380
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(1, 352)
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0.9845
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Likelihood ratio
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0.000388
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1
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0.9843
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Graphique n°2: Test CUSUM des carrés
stabilité du modèle
Graphique n°3: Test CUSUM de stabilité du
modèle
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