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L'impact de l'augmentation du prix du petrole sur la hausse des prix: Cas de la Tunisie

( Télécharger le fichier original )
par Slah Bahloul
faculté des sciences économiques et de gestion de sfax - Mastère de recherche en Finance 2008
  

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Annexe IV

Test de cointegration de Johansen pour les séries annuelles :

Sample(adjusted): 1972 2006

Included observations: 35 after adjusting endpoints

Trend assumption: Linear deterministic trend

Series: LINF LPP IMEX LPPIMP LPPEXP

Lags interval (in first differences): 1 to 1

Unrestricted Cointegration Rank Test

Hypothesized

No. of CE(s)

Eigenvalue

Trace

Statistic

5 Percent

Critical Value

1 Percent

Critical Value

 

None

0.458224

57.82384

68.52

76.07

 

At most 1

0.310450

36.37224

47.21

54.46

 

At most 2

0.256802

23.36218

29.68

35.65

 

At most 3

0.210856

12.97443

15.41

20.04

 

At most 4 *

0.125315

4.686198

3.76

6.65

 

*(**) denotes rejection of the hypothesis at the 5%(1%) level

Trace test indicates no cointegration at both 5% and 1% levels

Hypothesized

No. of CE(s)

Eigenvalue

Max-Eigen

Statistic

5 Percent

Critical Value

1 Percent

Critical Value

 

None

0.458224

21.45160

33.46

38.77

 

At most 1

0.310450

13.01006

27.07

32.24

 

At most 2

0.256802

10.38775

20.97

25.52

 

At most 3

0.210856

8.288228

14.07

18.63

 

At most 4 *

0.125315

4.686198

3.76

6.65

 

*(**) denotes rejection of the hypothesis at the 5%(1%) level

Max-eigenvalue test indicates no cointegration at both 5% and 1% levels


Estimation du modèle VAR(1) pour les séries annuelles :

Vector Autoregression Estimates

Date: 09/19/07 Time: 11:27

Sample(adjusted): 1972 2006

Included observations: 35 after adjusting endpoints

Standard errors in ( ) & t-statistics in [ ]

 

D(LINF)

D(LPP)

D(IMEX)

D(LPPIMP)

D(LPPEXP)

D(LINF(-1))

-0.673783

0.146250

-0.044063

0.020177

0.042643

 

(0.08148)

(0.11311)

(0.03657)

(0.09316)

(0.06803)

 

[-8.26944]

[ 1.29299]

[-1.20481]

[ 0.21659]

[ 0.62678]

D(LPP(-1))

0.556400

0.116582

-0.056557

0.132894

0.217385

 

(0.18156)

(0.25205)

(0.08150)

(0.20758)

(0.15160)

 

[ 3.06450]

[ 0.46254]

[-0.69397]

[ 0.64020]

[ 1.43390]

D(IMEX(-1))

-1.461713

-0.076578

-0.199980

0.617312

0.663078

 

(0.47499)

(0.65938)

(0.21320)

(0.54306)

(0.39661)

 

[-3.07737]

[-0.11614]

[-0.93797]

[ 1.13673]

[ 1.67186]

D(LPPIMP(-1))

0.343766

-0.051400

-0.028818

-0.558920

-0.334210

 

(0.27220)

(0.37787)

(0.12218)

(0.31121)

(0.22729)

 

[ 1.26291]

[-0.13603]

[-0.23586]

[-1.79595]

[-1.47043]

D(LPPEXP(-1))

-1.260647

-0.139653

0.235840

0.212745

0.040447

 

(0.33727)

(0.46820)

(0.15139)

(0.38560)

(0.28162)

 

[-3.73782]

[-0.29828]

[ 1.55785]

[ 0.55172]

[ 0.14363]

C

-0.093508

0.077769

0.038896

0.007921

-0.068061

 

(0.04723)

(0.06556)

(0.02120)

(0.05399)

(0.03943)

 

[-1.98000]

[ 1.18622]

[ 1.83488]

[ 0.14670]

[-1.72596]

R-squared

0.750562

0.071027

0.201073

0.132070

0.144974

Adj. R-squared

0.707555

-0.089141

0.063327

-0.017573

-0.002445

Sum sq. resids

1.595439

3.074637

0.321448

2.085497

1.112362

S.E. equation

0.234553

0.325610

0.105283

0.268167

0.195850

F-statistic

17.45226

0.443453

1.459735

0.882564

0.983416

Log likelihood

4.380633

-7.100023

32.41681

-0.306882

10.69225

Akaike AIC

0.092535

0.748573

-1.509532

0.360393

-0.268128

Schwarz SC

0.359166

1.015204

-1.242901

0.627024

-0.001497

Mean dependent

-0.006977

0.096363

0.019334

0.012237

-0.044158

S.D. dependent

0.433730

0.312001

0.108783

0.265842

0.195611

Determinant Residual Covariance

2.15E-08

 
 
 

Log Likelihood (d.f. adjusted)

60.66293

 
 
 

Akaike Information Criteria

-1.752167

 
 
 

Schwarz Criteria

-0.419012

 
 
 

Test de non causalité au sens de Granger pour les séries annuelles :

Pairwise Granger Causality Tests

Date: 09/19/07 Time: 22:36

Sample: 1970 2006

Lags: 1

Null Hypothesis:

Obs

F-Statistic

Probability

D(LPP) does not Granger Cause D(LINF)

35

3.65538

0.06488

D(LINF) does not Granger Cause D(LPP)

1.95396

0.17178

D(IMEX) does not Granger Cause D(LINF)

35

5.46758

0.02578

D(LINF) does not Granger Cause D(IMEX)

1.85596

0.18260

D(LPPIMP) does not Granger Cause D(LINF)

35

0.04212

0.83869

D(LINF) does not Granger Cause D(LPPIMP)

0.04134

0.84018

D(LPPEXP) does not Granger Cause D(LINF)

35

0.99245

0.32662

D(LINF) does not Granger Cause D(LPPEXP)

0.41768

0.52270

D(IMEX) does not Granger Cause D(LPP)

35

0.03407

0.85472

D(LPP) does not Granger Cause D(IMEX)

0.02037

0.88739

D(LPPIMP) does not Granger Cause D(LPP)

35

0.21867

0.64322

D(LPP) does not Granger Cause D(LPPIMP)

0.19343

0.66304

D(LPPEXP) does not Granger Cause D(LPP)

35

0.37431

0.54498

D(LPP) does not Granger Cause D(LPPEXP)

0.84575

0.36464

D(LPPIMP) does not Granger Cause D(IMEX)

35

0.60872

0.44100

D(IMEX) does not Granger Cause D(LPPIMP)

0.64501

0.42783

D(LPPEXP) does not Granger Cause D(IMEX)

35

2.66012

0.11270

D(IMEX) does not Granger Cause D(LPPEXP)

0.96721

0.33275

D(LPPEXP) does not Granger Cause D(LPPIMP)

35

0.06192

0.80507

D(LPPIMP) does not Granger Cause D(LPPEXP)

0.09538

0.75945

Fonctions de réponse impulsionnelles pour les séries annuelles :

Décomposition de la variance pour les séries annuelles :

Variance Decomposition of D(LINF):

 
 
 
 
 
 

Period

S.E.

D(LINF)

D(LPP)

D(IMEX)

D(LPPIMP)

D(LPPEXP)

1

0.234553

100.0000

0.000000

0.000000

0.000000

0.000000

2

0.336730

56.85692

4.764127

14.91821

1.328016

22.13273

3

0.366532

52.29157

8.428892

16.13626

2.092500

21.05078

4

0.386544

50.31889

8.893047

17.08671

2.450847

21.25050

5

0.398763

49.05070

9.328837

17.60375

2.698246

21.31846

6

0.406246

48.38135

9.550380

17.87605

2.852615

21.33961

7

0.410975

47.97151

9.675225

18.03845

2.951190

21.36362

8

0.413950

47.72057

9.751919

18.13457

3.014852

21.37809

9

0.415832

47.56506

9.798246

18.19292

3.055809

21.38797

10

0.417024

47.46752

9.826915

18.22883

3.082181

21.39455

Cholesky Ordering: D(LINF) D(LPP) D(IMEX) D(LPPIMP) D(LPPEXP)

 
 
 
 
 
 

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