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Impact de la qualité de l'éducation sur le revenu individuel à  Goma

( Télécharger le fichier original )
par Eric CIRUZA MUDERWA
Université de Goma - Licence en sciences économiques  2008
  

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Chapitre troisième: 61

PRESENTATION ET INTERPRETATION DES RESULTATS 61

III.1. PRESENTATION DES RESULTATS 61

III.1.1. Régression linéaire simple 61

III.1.2 Tests économétriques 62

III.1.3. Résultat du modèle définitif 63

III. 2. INTERPRETATION DES RESULTATS 66

III.2.1. Types d'éducation reçus par l'individu (TYPE) 67

III.2.2. Education des parents (EDUP) 67

III.2.3 Education de l'individu (EDUCIN) 68

III.2.4. Expérience professionnelle 69

III.2.5. Revenu des parents 70

III.3. RECOMMANDATIONS 71

CONCLUSION GENERALE 73

BIBLIOGRAPHIE 75

TABLE DES MATIERES 77

n X

i i

X=

n

20700

= =

37

559,46

Annexe N° 1 : Calcul de la taille de l'échantillon

Tranches de

revenu

xi

ni

xini

xi- X

(xi- X )2

n(xi- x )2

[0-200[

100

4

400

-450,46

211103,4916

844413,9664

[200-400[

300

8

2400

- 259,46

67319,4916

538555,9328

[400-600[

500

10

5000

-59,46

3535,4916

35354,916

[600-800[

700

9

6300

140 ,54

1975,4916

177763,4244

[800-1000[

900

3

2700

340,54

115967,4916

347902,4748

[1000-1200[

1100

1

1100

540,54

292183,4916

292183,4916

[1200-1400[

1300

1

1300

740,54

548399,4916

548399,4916

[1400-1600[

1500

1

1500

740,54

884615,4916

884615,4916

Total

37

 

20700

 
 

3669189,189

Annexe N° 2 : Calculs du revenu moyen de la population de la ville de Goma

Tranches de

revenu

xi

ni

xini

xi- X

(xi- X )2

n(xi- x )2

[0-200[

100

41

4100

-327,16

107033,6656

4388380,29

[200-400[

300

58

17400

- 127,16

16169,6656

937840,6048

[400-600[

500

21

10500

72,84

5305,6656

111418,9776

[600-800[

700

25

17500

272,84

74441,6656

1861041,64

[800-1000[

900

9

8100

472,84

223577,6656

2012198,99

[1000-1200[

1100

1

1100

672,84

452713,6656

452713,6656

[1200-1400[

1300

0

0

872,84

 

0

[1400-1600[

1500

7

10500

1072,84

1150985,6656

8056899,659

Total

162

 

69200

 
 

17820493,83

Annexe N° 3 : Régression linéaire simple

Dependent Variable: LOG(REVIND)

Method: Least Squares

Date: 10/22/08 Time: 10:02

Sample(adjusted): 1 161

Included observations: 161 after adjusting endpoints

Variable

Coefficient

Std. Error t-Statistic

Prob.

C

4.382775

0.443897 9.873395

0.0000

EXPI

0.047826

0.014376 3.326686

0.0011

EDUP

0.138973

0.136388 1.018953

0.3098

EDUCIN

0.077516

0.058290 1.329842

0.1855

TYPE

-0.101446

0.120688 -0.840562

0.4019

LOG(REVP)

0.141762

0.063003 2.250096

0.0259

R-squared

0.099247

Mean dependent var

5.741497

Adjusted R-squared

0.070190

S.D. dependent var

0.750536

S.E. of regression

0.723717

Akaike info criterion

2.227721

Sum squared resid

81.18370

Schwarz criterion

2.342556

Log likelihood

-173.3316

F-statistic

3.415635

Durbin-Watson stat

1.616934

Prob(F-statistic)

0.005898

Annexe N°4 : Forme fonctionnelle du modèle Ramsey RESET Test:

F-statistic 0.229010 Probability 0.632933

Log likelihood ratio 0.239176 Probability 0.624802

Test Equation:

Dependent Variable: LOG(REVIND)

Method: Least Squares

Date: 10/22/08 Time: 18:30

Sample: 1 162

Included observations: 162

Variable Coefficient Std. Error t-Statistic Prob.

C -2.151895 13.66291 -0.157499 0.8751

TYPE 0.340866 0.934300 0.364836 0.7157

LOG(REVP) -0.459076 1.256811 -0.365270 0.7154

EXPI -0.158563 0.431488 -0.367480 0.7138

EDUP -0.455181 1.250087 -0.364120 0.7163

EDUCIN -0.254791 0.697524 -0.365280 0.7154

FITTED^2 0.373107 0.779661 0.478550 0.6329

R-squared 0.100657 Mean dependent var 5.742216

Adjusted R-squared 0.065843 S.D. dependent var 0.748257

S.E. of regression 0.723204 Akaike info criterion 2.231998

Sum squared resid 81.06874 Schwarz criterion 2.365413

Log likelihood -173.7918 F-statistic 2.891326

Durbin-Watson stat 1.614785 Prob(F-statistic) 0.010645

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