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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Modèle IV.3<br />
. reg STFIN2FM STINI2FM FILLE AGEPLUS ENFTCONFIE NIVEAUVIE3 REDAN2 LIV_FR LIV_MT<br />
, cluster(NUMECOLE)<br />
Regression with robust standard errors Number of obs = 1465<br />
F( 8, 122) = 25.87<br />
Prob > F = 0.0000<br />
R-squared = 0.3170<br />
Number of clusters (NUMECOLE) = 123 Root MSE = 15.407<br />
------------------------------------------------------------------------------<br />
| Robust<br />
SFIN2FM | Coef. Std. Err. t P>|t| [95% Conf. Interval]<br />
-------------+----------------------------------------------------------------<br />
SINI2FM | .9692183 .1002238 9.67 0.000 .7708153 1.167621<br />
FILLE | -.6523091 1.025589 -0.64 0.526 -2.682565 1.377947<br />
AGEPLUS | -.7791902 1.43831 -0.54 0.589 -3.626469 2.068088<br />
ENFTCONFIE | .4971685 1.379825 0.36 0.719 -2.234332 3.228669<br />
NIVEAUVIE3 | 1.396601 1.745848 0.80 0.425 -2.059479 4.852681<br />
REDAN2 | -4.296879 1.446698 -2.97 0.004 -7.160763 -1.432996<br />
LIV_FR | 5.593236 1.289458 4.34 0.000 3.040626 8.145846<br />
LIV_MT | 1.946305 1.117341 1.74 0.084 -.265584 4.158194<br />
_cons | 19.03987 1.650057 11.54 0.000 15.77341 22.30632<br />
------------------------------------------------------------------------------<br />
Les variables <strong>de</strong> ce modèle seront conservées dans le modèle final.<br />
3. Introduction <strong>de</strong>s caractéristiques enseignants<br />
Modèle IV.4<br />
. reg STFIN2FM STINI2FM MAITRFEM MTPROCH VOLONTAIRE DIPCYCLB NIVCYCLB MTMOBILE<br />
FPI1ANPL FPI1AN FPI1A3M SERVICE MTPRECENS MTAUTREACT MTRESTENS MTCONCOUR,<br />
cluster(NUMECOLE)<br />
Regression with robust standard errors Number of obs = 1465<br />
F( 15, 122) = 14.04<br />
Prob > F = 0.0000<br />
R-squared = 0.3343<br />
Number of clusters (NUMECOLE) = 123 Root MSE = .82012<br />
------------------------------------------------------------------------------<br />
| Robust<br />
STFIN2FM | Coef. Std. Err. t P>|t| [95% Conf. Interval]<br />
-------------+----------------------------------------------------------------<br />
STINI2FM | .5359842 .0459426 11.67 0.000 .4450362 .6269322<br />
MAITRFEM | -.0092792 .1506826 -0.06 0.951 -.3075704 .2890121<br />
MTPROCH | .1213981 .189349 0.64 0.523 -.2534372 .4962334<br />
VOLONTAIRE | -.1855428 .1630039 -1.14 0.257 -.5082254 .1371398<br />
DIPCYCLB | -.0408787 .1714863 -0.24 0.812 -.380353 .2985955<br />
NIVCYCLB | -.0081077 .1333814 -0.06 0.952 -.2721495 .2559341<br />
MTMOBILE | -.1243383 .1716345 -0.72 0.470 -.4641059 .2154293<br />
FPI1ANPL | .1293277 .184383 0.70 0.484 -.2356768 .4943322<br />
FPI1AN | -.1907152 .2229233 -0.86 0.394 -.6320142 .2505837<br />
FPI1A3M | .0513898 .2155416 0.24 0.812 -.3752963 .478076<br />
SERVICE | -.0163937 .0110934 -1.48 0.142 -.0383542 .0055668<br />
MTPRECENS | .0587692 .1261036 0.47 0.642 -.1908654 .3084039<br />
MTAUTREACT | -.0954325 .1295996 -0.74 0.463 -.3519879 .1611228<br />
MTRESTENS | -.2381043 .1281078 -1.86 0.065 -.4917064 .0154978<br />
MTCONCOUR | .2385393 .1942069 1.23 0.222 -.1459126 .6229912<br />
_cons | .0059189 .3834999 0.02 0.988 -.7532575 .7650953<br />
------------------------------------------------------------------------------<br />
. vif<br />
93
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