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Marchés boursiers et croissance économique. Une analyse comparative entre l'Afrique subsaharienne et l'Asie du sud-est.

( Télécharger le fichier original )
par Larissa Nawo
Université de Dschang - Master of Sciences en Analyse et Politiques Economiques 0000
  

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Annexe 10 : Résultat du modèle à effets aléatoires

En ASS.RE GLS regression with AR(1) disturbances Number of obs = 85

Group variable : ident Number of groups = 4

R-sq: within = 0.2146 Obs per group: min = 18

between = 0.7121 avg = 21.3

overall = 0.3358 max = 23

Wald chi2(10) = 21.54

corr(u_i, Xb) = 0 (assumed) Prob > chi2 = 0.0176

------------------- theta --------------------

min 5% median 95% max

0.1320 0.1320 0.1576 0.1576 0.1576

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

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

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

rto | -.0061266 .0573049 -0.11 0.915 -.1184422 .1061891

traval | -.0122046 .0262978 -0.46 0.643 -.0637474 .0393382

capbours | -1.040982 2.204479 -0.47 0.637 -5.36168 3.279717

dext | -.129854 .3875652 -0.34 0.738 -.8894677 .6297598

open | 1.5194 1.833403 0.83 0.407 -2.074003 5.112803

inv | .1287215 .03164 4.07 0.000 .0667082 .1907347

rto² | .0000319 .0003395 0.09 0.925 -.0006335 .0006973

traval² | .0000588 .0000719 0.82 0.413 -.0000821 .0001998

cabours | .1554829 .5607254 0.28 0.782 -.9435186 1.254484

_cons | -5.788923 7.591582 -0.76 0.446 -20.66815 9.090303

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

rho_ar | .49256078 (estimated autocorrelation coefficient)

sigma_u | .47788199

sigma_e | 1.8933311

rho_fov | .05989163 (fraction of variance due to u_i)

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

En ASE. RE GLS regression with AR(1) disturbances Number of obs = 92

Group variable: ident Number of groups = 4

R-sq: within = 0.4128 Obs per group: min = 23

between = 0.7652 avg = 23.0

overall = 0.4320 max = 23

Wald chi2(10) = 54.96

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

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

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

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

rto | .0573867 .0442483 1.30 0.195 -.0293385 .1441118

traval | .0459596 .0355158 1.29 0.196 -.02365 .1155692

capbours | -13.54097 6.920801 -1.96 0.050 -27.10549 .0235466

inv | .1459682 .0441675 3.30 0.001 .0594014 .2325349

open | -6.75732 1.775786 -3.81 0.000 -10.2378 -3.276844

dext | -5.054215 1.660094 -3.04 0.002 -8.30794 -1.800491

rto² | -.0001745 .000219 -0.80 0.426 -.0006037 .0002547

Traval²| -.0000963 .0001094 -0.88 0.379 -.0003106 .0001181

Capbours²| 9.474251 5.884852 1.61 0.107 -2.059847 21.00835

_cons | 50.64092 9.882576 5.12 0.000 31.27143 70.01041

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

rho_ar | .37107282 (estimated autocorrelation coefficient)

sigma_u | 0

sigma_e | 2.9524886

rho_fov | 0 (fraction of variance due to u_i)

theta | 0

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

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