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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3. Introduction <strong>de</strong>s caractéristiques <strong>de</strong>s enseignants<br />
Modèle V.3<br />
. reg STFIN5FM STINI5FM MAITRFEM MTSEUL VOLONTAIRE DIPCYCLB NIVCYCLB FPI1ANPL<br />
FPI1AN FPI1A3M SERVICE MTPRECENS MTMOBILE MTAUTREACT ABSMT MTCHANGECO MTRESTENS<br />
MTCONCOUR, cluster(NUMECOLE)<br />
Regression with robust standard errors Number of obs = 1503<br />
F( 17, 118) = 28.24<br />
Prob > F = 0.0000<br />
R-squared = 0.3833<br />
Number of clusters (NUMECOLE) = 119 Root MSE = .78976<br />
------------------------------------------------------------------------------<br />
| Robust<br />
STFIN5FM | Coef. Std. Err. t P>|t| [95% Conf. Interval]<br />
-------------+----------------------------------------------------------------<br />
STINI5FM | .5447899 .0360232 15.12 0.000 .4734541 .6161257<br />
MAITRFEM | -.0422979 .0973849 -0.43 0.665 -.2351465 .1505506<br />
MTSEUL | .0482789 .1066152 0.45 0.652 -.1628482 .2594061<br />
VOLONTAIRE | -.2487239 .1447099 -1.72 0.088 -.535289 .0378412<br />
DIPCYCLB | -.108764 .1551226 -0.70 0.485 -.4159489 .1984209<br />
NIVCYCLB | .0159158 .1068585 0.15 0.882 -.1956931 .2275247<br />
FPI1ANPL | -.2595746 .1485684 -1.75 0.083 -.5537806 .0346314<br />
FPI1AN | .0261925 .216104 0.12 0.904 -.4017524 .4541373<br />
FPI1A3M | .0051181 .1769652 0.03 0.977 -.3453211 .3555574<br />
SERVICE | .0013639 .0088092 0.15 0.877 -.0160808 .0188085<br />
MTPRECENS | .2729794 .1101709 2.48 0.015 .054811 .4911477<br />
MTMOBILE | -.0291107 .1382352 -0.21 0.834 -.3028541 .2446327<br />
MTAUTREACT | -.1024602 .1000705 -1.02 0.308 -.3006271 .0957067<br />
ABSMT | -.038927 .015618 -2.49 0.014 -.0698549 -.007999<br />
MTCHANGECO | .0017679 .0960173 0.02 0.985 -.1883725 .1919083<br />
MTRESTENS | -.1345728 .0893746 -1.51 0.135 -.3115589 .0424133<br />
MTCONCOUR | -.277204 .1311519 -2.11 0.037 -.5369205 -.0174875<br />
_cons | .4772281 .2804185 1.70 0.091 -.0780768 1.032533<br />
------------------------------------------------------------------------------<br />
. vif<br />
Variable | VIF 1/VIF<br />
-------------+----------------------<br />
FPI1ANPL | 6.35 0.157552<br />
FPI1AN | 5.59 0.178785<br />
FPI1A3M | 3.03 0.329891<br />
SERVICE | 2.84 0.351812<br />
VOLONTAIRE | 2.79 0.359016<br />
MTPRECENS | 1.98 0.503799<br />
DIPCYCLB | 1.97 0.506817<br />
NIVCYCLB | 1.47 0.681266<br />
MTCONCOUR | 1.36 0.735502<br />
MAITRFEM | 1.34 0.745741<br />
MTSEUL | 1.29 0.776449<br />
MTAUTREACT | 1.29 0.776858<br />
MTMOBILE | 1.22 0.816468<br />
MTCHANGECO | 1.16 0.864183<br />
MTRESTENS | 1.16 0.865118<br />
ABSMT | 1.15 0.867872<br />
STINI5FM | 1.06 0.941473<br />
-------------+----------------------<br />
Mean VIF | 2.18<br />
Le modèle présente <strong>de</strong>s multi colinéarités entre la formation professionnelle, l’ancienneté et le<br />
statut. Ré estimons le modèle en ne conservant que le statut.<br />
109
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