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Relation inflation-chômage: une vérification empirique de la courbe de Phillips en RDC de 1990 à  2011

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par Junior NDUAYA MATUNGA
Université de Kinshasa - ECONOMIE MATHEMATIQUE 2013
  

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ANNEXE II.4-MODÈLE À CORRECTION D'ERREUR

Tableeau II.4.1 : output du modèle à correction d'erreur à la Hendry

Dependent Variable: DLTCHOM

 
 

Method: Least Squares

 
 

Date: 11/30/13 Time: 15:28

 
 

Sample (adjusted): 1991 2011

 
 

Included observations: 21 after adjustments

 
 
 
 
 
 
 
 
 
 
 

Variable

Coefficient

Std. Error

t-Statistic

Prob.  

 
 
 
 
 
 
 
 
 
 

C

2.294032

0.798374

2.873380

0.0105

DLTINFL

0.034941

0.014358

2.433581

0.0263

LTCHOM(-1)

-0.607449

0.208458

-2.914011

0.0097

LTINFL(-1)

0.030208

0.012376

2.440922

0.0259

 
 
 
 
 
 
 
 
 
 

R-squared

0.488296

    Mean dependent var

-0.001099

Adjusted R-squared

0.397995

    S.D. dependent var

0.121653

S.E. of regression

0.094389

    Akaike info criterion

-1.713136

Sum squared resid

0.151459

    Schwarz criterion

-1.514180

Log likelihood

21.98793

    Hannan-Quinn criter.

-1.669958

F-statistic

5.407440

    Durbin-Watson stat

1.953585

Prob(F-statistic)

0.008490

 
 
 
 
 
 
 
 
 
 
 
 
 

ANNEXE II.5- VALIDATION DU MODÈLE

Figure II.5.1 : output du test de normalité des résidus de Jarque-Bera

Tableau II.5.2 : output du test d'hétéroscédasticité de White

Heteroskedasticity Test: White

 
 
 
 
 
 
 
 
 
 
 

F-statistic

1.348344

    Prob. F(9,11)

0.3151

Obs*R-squared

11.01517

    Prob. Chi-Square(9)

0.2747

Scaled explained SS

8.384707

    Prob. Chi-Square(9)

0.4959

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

sTest Equation:

 
 
 

Dependent Variable: RESID^2

 
 

Method: Least Squares

 
 

Date: 01/05/14 Time: 14:36

 
 

Sample: 1991 2011

 
 

Included observations: 21

 
 
 
 
 
 
 
 
 
 
 
 

Variable

Coefficient

Std. Error

t-Statistic

Prob.  

 
 
 
 
 
 
 
 
 
 

C

-4.933231

4.072778

-1.211269

0.2512

DLTINFL

0.184123

0.084852

2.169928

0.0528

DLTINFL^2

-0.002509

0.001373

-1.827245

0.0949

DLTINFL*LTCHOM(-1)

-0.045266

0.021978

-2.059628

0.0639

DLTINFL*LTINFL(-1)

-0.000440

0.001482

-0.296938

0.7720

LTCHOM(-1)

2.567833

2.083548

1.232433

0.2435

LTCHOM(-1)^2

-0.336292

0.267122

-1.258943

0.2341

LTCHOM(-1)*LTINFL(-1)

0.023616

0.019846

1.189934

0.2591

LTINFL(-1)

-0.072201

0.071348

-1.011960

0.3333

LTINFL(-1)^2

-0.001880

0.001067

-1.762703

0.1057

 
 
 
 
 
 
 
 
 
 

R-squared

0.524532

    Mean dependent var

0.007212

Adjusted R-squared

0.135512

    S.D. dependent var

0.011264

S.E. of regression

0.010473

    Akaike info criterion

-5.974227

Sum squared resid

0.001207

    Schwarz criterion

-5.476836

Log likelihood

72.72939

    Hannan-Quinn criter.

-5.866281

F-statistic

1.348344

    Durbin-Watson stat

1.748279

Prob(F-statistic)

0.315095

 
 
 
 
 
 
 
 
 
 
 
 
 

Tableau II.5.3 : output du test de RESET de Ramsey

Ramsey RESET Test:

 
 
 
 
 
 
 
 
 
 
 
 

F-statistic

3.497862

    Prob. F(1,16)

0.0799

Log likelihood ratio

4.152038

    Prob. Chi-Square(1)

0.0416

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Test Equation:

 
 
 

Dependent Variable: DLTCHOM

 
 

Method: Least Squares

 
 

Date: 11/30/13 Time: 15:32

 
 

Sample: 1991 2011

 
 

Included observations: 21

 
 
 
 
 
 
 
 
 
 
 
 

Variable

Coefficient

Std. Error

t-Statistic

Prob.  

 
 
 
 
 
 
 
 
 
 

C

2.586407

0.761697

3.395584

0.0037

DLTINFL

0.026323

0.014177

1.856798

0.0818

LTCHOM(-1)

-0.685352

0.199055

-3.443034

0.0033

LTINFL(-1)

0.041327

0.012995

3.180130

0.0058

FITTED^2

-5.152058

2.754733

-1.870257

0.0799

 
 
 
 
 
 
 
 
 
 

R-squared

0.580094

    Mean dependent var

-0.001099

Adjusted R-squared

0.475118

    S.D. dependent var

0.121653

S.E. of regression

0.088136

    Akaike info criterion

-1.815614

Sum squared resid

0.124287

    Schwarz criterion

-1.566919

Log likelihood

24.06395

    Hannan-Quinn criter.

-1.761641

F-statistic

5.525945

    Durbin-Watson stat

1.801644

Prob(F-statistic)

0.005452

 
 
 
 
 
 
 
 
 
 
 
 
 

Tableau II.5.4 : output du test LM de Breusch-Godfrey

Breusch-Godfrey Serial Correlation LM Test:

 
 
 
 
 
 
 
 
 
 
 

F-statistic

1.756087

    Prob. F(2,15)

0.2064

Obs*R-squared

3.984171

    Prob. Chi-Square(2)

0.1364

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Test Equation:

 
 
 

Dependent Variable: RESID

 
 

Method: Least Squares

 
 

Date: 11/30/13 Time: 15:34

 
 

Sample: 1991 2011

 
 

Included observations: 21

 
 

Presample missing value lagged residuals set to zero.

 
 
 
 
 
 
 
 
 
 

Variable

Coefficient

Std. Error

t-Statistic

Prob.  

 
 
 
 
 
 
 
 
 
 

C

-3.124822

1.969509

-1.586599

0.1335

DLTINFL

0.002738

0.015616

0.175359

0.8631

LTCHOM(-1)

0.816679

0.514333

1.587840

0.1332

LTINFL(-1)

-0.030661

0.021128

-1.451234

0.1673

RESID(-1)

-0.972394

0.590712

-1.646139

0.1205

RESID(-2)

-0.501630

0.308301

-1.627076

0.1245

 
 
 
 
 
 
 
 
 
 

R-squared

0.189722

    Mean dependent var

-5.76E-16

Adjusted R-squared

-0.080370

    S.D. dependent var

0.087023

S.E. of regression

0.090452

    Akaike info criterion

-1.733039

Sum squared resid

0.122723

    Schwarz criterion

-1.434604

Log likelihood

24.19690

    Hannan-Quinn criter.

-1.668271

F-statistic

0.702435

    Durbin-Watson stat

1.968940

Prob(F-statistic)

0.630278

 
 
 
 
 
 
 
 
 
 
 
 
 


Figure II.5.2 : output du test CUSUM

Figure II.5.3 : output du test CUSUMSQ

Tableau II.6 : les données utilisées pour l'estimation

Année

Taux de chômage

Taux d'inflation

1990

52,6

874,5

1991

49,4

2641,9

1992

56,3

2989,6

1993

68,7

4651,7

1994

67

9796,9

1995

69,2

370,3

1996

62,8

693

1997

53,6

13,7

1998

57,2

134,8

1999

64,2

483,7

2000

66,9

511,2

2001

49

135,1

2002

49,1

15,8

2003

48,5

4,4

2004

45,4

9,8

2005

49,4

21,3

2006

48,2

18,2

2007

47,2

9,96

2008

53,2

27,57

2009

60,8

53,4

2010

50,1

9,8

2011

51,4

23,4

Source: Banque Centrale Du Congo, Rapports Annuels (2009, 2010 et 2011) et Condencés des Informations Statistiques (2007).

Graphique II.3- Ajustement entre l'inflation et le chômage

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