enseignement de base au niger :quel bilan - CONFEMEN
enseignement de base au niger :quel bilan - CONFEMEN
enseignement de base au niger :quel bilan - CONFEMEN
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Variable | VIF 1/VIF<br />
-------------+----------------------<br />
VOLONTAIRE | 3.26 0.306875<br />
FPI1ANPL | 3.09 0.323489<br />
SERVICE | 2.85 0.350525<br />
FPI1AN | 2.38 0.420597<br />
FPI1A3M | 2.12 0.471966<br />
MTPRECENS | 1.58 0.631908<br />
DIPCYCLB | 1.58 0.632472<br />
NIVCYCLB | 1.44 0.696350<br />
MAITRFEM | 1.39 0.720383<br />
MTCONCOUR | 1.33 0.749546<br />
MTRESTENS | 1.21 0.829312<br />
MTAUTREACT | 1.16 0.861381<br />
MTMOBILE | 1.14 0.877924<br />
MTPROCH | 1.12 0.892246<br />
SINI2FM | 1.09 0.916830<br />
-------------+----------------------<br />
Mean VIF | 1.78<br />
L’analyse <strong>de</strong>s corrélations indique un lien assez fort entre le statut et la formation<br />
professionnelle. Otons la formation professionnelle du modèle. Plus <strong>de</strong> 93% <strong>de</strong>s maîtres<br />
vivent proches <strong>de</strong> l’école ; ôtons également cette variable.<br />
Modèle IV.5<br />
. reg STFIN2FM STINI2FM MAITRFEM VOLONTAIRE DIPCYCLB NIVCYCLB MTMOBILE SERVICE<br />
MTPRECENS MTAUTREACT MTRESTENS MTCONCOUR, cluster(NUMECOLE)<br />
Regression with robust standard errors Number of obs = 1465<br />
F( 11, 122) = 17.16<br />
Prob > F = 0.0000<br />
R-squared = 0.3269<br />
Number of clusters (NUMECOLE) = 123 Root MSE = .82353<br />
------------------------------------------------------------------------------<br />
| Robust<br />
STFIN2FM | Coef. Std. Err. t P>|t| [95% Conf. Interval]<br />
-------------+----------------------------------------------------------------<br />
STINI2FM | .5391092 .0465237 11.59 0.000 .447011 .6312075<br />
MAITRFEM | .0480414 .1402532 0.34 0.733 -.2296037 .3256866<br />
VOLONTAIRE | -.2966788 .1508641 -1.97 0.052 -.5953294 .0019718<br />
DIPCYCLB | -.105734 .1524799 -0.69 0.489 -.4075831 .1961151<br />
NIVCYCLB | -.0065891 .1285787 -0.05 0.959 -.2611234 .2479452<br />
MTMOBILE | -.1108074 .1725337 -0.64 0.522 -.452355 .2307402<br />
SERVICE | -.028802 .0101363 -2.84 0.005 -.0488678 -.0087362<br />
MTPRECENS | .0796268 .130435 0.61 0.543 -.1785823 .3378359<br />
MTAUTREACT | -.0952515 .1256664 -0.76 0.450 -.3440207 .1535177<br />
MTRESTENS | -.2507451 .1204835 -2.08 0.040 -.4892543 -.0122359<br />
MTCONCOUR | .2428249 .1800057 1.35 0.180 -.1135145 .5991642<br />
_cons | .2620057 .2916433 0.90 0.371 -.3153313 .8393426<br />
------------------------------------------------------------------------------<br />
. vif<br />
Variable | VIF 1/VIF<br />
-------------+----------------------<br />
VOLONTAIRE | 2.12 0.470623<br />
SERVICE | 1.81 0.551935<br />
MTPRECENS | 1.53 0.655448<br />
DIPCYCLB | 1.37 0.729714<br />
NIVCYCLB | 1.34 0.748299<br />
MAITRFEM | 1.24 0.805279<br />
MTRESTENS | 1.14 0.876390<br />
MTAUTREACT | 1.14 0.877386<br />
94
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