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Intégration régionale et promotion des investissements dans l'espace UEMOA

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par Etsri Alexandre Homevor
Université de Cocody - Centre Ivoirien de Recherche Economique et Social, Abidjan - DESS des Hautes Etudes en Gestion de la Politique Economique 2005
  

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Annexe 2 : Résultats de l'analyse économétrique

A. Tests de spécifications

o Estimation du modèle à effets fixes (fixed effects) pour tester la présence d'effet fixe

xtreg ide pib do infl infra invpub d96, fe

Fixed-effects (within) regression Number of obs = 87

Group variable (i): pays Number of groups = 8

R-sq: within = 0.5748 Obs per group: min = 6

between = 0.9497

avg =

10.9

overall = 0.7877

max =

12

 

F(6,73)

= 16.45

Corr(u_i, Xb) = -0.7583

Prob > F

= 0.0000

---------------------------------------------------------------------------------------------

ide | Coef. Std. Err. t P>|t| [95% Conf. Interval]

-------------+------------------------------------------------------------------------------- pib | .0000567 6.95e-06 8.16 0.000 .0000429 .0000706

do

| .9590135 .570758

1.68

0.097

-.1785054

2.096532

infl

| -.119701 .4464915

-0.27

0.789

-1.009557

.7701553

infra

| 106.7265 235.4471

0.45

0.652

-362.5189

575.9719

invpub | 24.19123 51.67453 0.47 0.641 -78.79596 127.1784

d96 | -24.00129 12.72421 -1.89 0.063 -49.3606 1.358019

_cons | -47.94343 19.46891 -2.46 0.016 -86.74491 -9.141955

-------------+------------------------------------------------------------------------------- sigma_u | 28.895743

sigma_e | 38.997796

rho | .35443025 (fraction of variance due to u_i)

---------------------------------------------------------------------------------------------

F test that all u_i=0: F(7, 73) = 1.64 Prob > F = 0.1390

60

o Estimation du modèle à effets aléatoires (random effects) pour tester la présence d'effet aléatoire

xtreg ide pib do infl infra invpub d96, re

Random-effects GLS regression Number of obs = 87

Group variable (i): pays

Number of groups =

8

R-sq: within = 0.5678

Obs per group: min =

6

between = 0.9610 avg = 10.9

overall = 0.7962 max = 12

Random effects u_i ~ Gaussian Wald chi2(6) = 158.07

corr(u_i, X) = 0 (assumed) Prob > chi2 = 0.0000

----------------------------------------------------------------------------------------------- ide | Coef. Std. Err. z P>|z| [95% Conf. Interval]

-------------+--------------------------------------------------------------------------------

pib | .0000479 4.29e-06 11.16 0.000 .0000395 .0000563

do

| 1.015754 .5229203

1.94

0.052

-.0091508

2.040659

infl

| .1051234 .414991

0.25

0.800

-.708244

.9184909

Infra

| 125.0723 193.9255

0.64

0.519

-255.0147

505.1594

invpub | 43.80427 46.08066 0.95 0.342 -46.51217 134.1207

d96 | -12.85961 10.8924 -1.18 0.238 -34.20832 8.489107

_cons | -43.12751 18.09267 -2.38 0.017 -78.5885 -7.66652

-------------+------------------------------------------------------------------------------- sigma_u | 20.193651

sigma_e | 38.997796

rho | .21143891 (fraction of variance due to u_i)

---------------------------------------------------------------------------------------------

o Breusch and Pagan Lagrangian multiplier test for

random effects

o Hausman specification test

Xttest0 xthaus

ide[pays,t] = Xb + u[pays] + e[pays,t] -------Coefficients ---------

 
 

|

Fixed

Random

 

Estimated results:

ide

|

Effects

Effects

Difference

| Var sd = sqrt(Var) -------------+-------------------------------------------------

---------+--------------------------------- pib | .0000567 .0000479 8.83e-06

ide | 7389.942

85.96477

do

| .9590135

1.015754

-.0567407

e | 1520.828

38.9978

infl

| -.119701

.1051234

-.2248244

u | 407.7836

20.19365

infra

| 106.7265

125.0723

-18.34586

invpub | 24.19123 43.80427 -19.61304

Test: Var(u) = 0 d96 | -24.00129 -12.85961 -11.14168

chi2(1) = 0.01

Prob > chi2 = 0.9159 Test: Ho: difference in coefficients not systematic

chi2( 6) = (b-B)'[S^(-1)](b-B), S = (S_fe - S_re)

= 3.15

Prob>chi2 = 0.7896

61

B. Résultats de l'estimation économétrique (modèle sans effets fixes et sans effets

aléatoires)

Source | SS df MS Number of obs = 87

-------------+------------------------------ F( 6, 80) = 52.65

Model | 507101.988

6 84516.9981

Prob > F

= 0.0000

Residual | 128433.026

80 1605.41282

R-squared

= 0.7979

-------------+------------------------------ Adj R-squared = 0.7828

Total | 635535.014 86 7389.94202 Root MSE = 40.068

--------------------------------------------------------------------------------------------- ide | Coef. Std. Err. t P>|t| [95% Conf. Interval]

-------------+------------------------------------------------------------------------------

pib | .0000449 2.90e-06 15.45 0.000 .0000391 .0000507

do | 1.028747 .471679 2.18 0.032 .090076 1.967418

infl

| .2951409 .4021108

0.73

0.465

-.5050851

1.095367

infra

| 58.58454 158.7864

0.37

0.713

-257.4104

374.5795

invpub | 44.95866 43.14855 1.04 0.301 -40.90969 130.827

d96 | -6.53177 10.26032 -0.64 0.526 -26.95046 13.88692

_cons | -39.01819 13.93093 -2.80 0.006 -66.74161 -11.29476

---------------------------------------------------------------------------------------------

62

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