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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Regression with robust standard errors Number of obs = 1447<br />
F( 30, 120) = 13.73<br />
Prob > F = 0.0000<br />
R-squared = 0.3932<br />
Number of clusters (NUMECOLE) = 121 Root MSE = .78029<br />
------------------------------------------------------------------------------<br />
| Robust<br />
STFIN2F | Coef. Std. Err. t P>|t| [95% Conf. Interval]<br />
-------------+----------------------------------------------------------------<br />
STINI2F | .4237611 .0444472 9.53 0.000 .3357586 .5117635<br />
FILLE | -.0167302 .0484222 -0.35 0.730 -.1126028 .0791424<br />
AGEPLUS | -.0050956 .0654751 -0.08 0.938 -.1347316 .1245405<br />
ENFTCONFIE | -.0619776 .066465 -0.93 0.353 -.1935737 .0696186<br />
NIVEAUVIE3 | .0672464 .0872807 0.77 0.443 -.1055633 .2400561<br />
REDAN2 | -.3045302 .0632315 -4.82 0.000 -.4297241 -.1793363<br />
LIV_FR | .3361065 .0670356 5.01 0.000 .2033806 .4688323<br />
LIV_MT | .0403749 .0627692 0.64 0.521 -.0839037 .1646535<br />
MAITRFEM | -.08054 .1217077 -0.66 0.509 -.3215129 .1604328<br />
VOLDPF | -.0036476 .1399861 -0.03 0.979 -.2808104 .2735152<br />
VOLNDPF | -.1547796 .1237747 -1.25 0.214 -.3998448 .0902857<br />
DIPCYCLB | .0039441 .1242897 0.03 0.975 -.2421408 .2500289<br />
NIVCYCLB | .2682602 .1203863 2.23 0.028 .0299037 .5066166<br />
MTMOBILE | -.2248279 .1535293 -1.46 0.146 -.5288053 .0791495<br />
MTPRECENS | .1678437 .1129108 1.49 0.140 -.0557119 .3913993<br />
MTAUTREACT | .0205467 .099474 0.21 0.837 -.1764049 .2174984<br />
MTRESTENS | -.0894263 .1079607 -0.83 0.409 -.303181 .1243285<br />
MTCONCOUR | .3919451 .1672071 2.34 0.021 .0608868 .7230035<br />
ABSMT | .0040093 .014724 0.27 0.786 -.0251431 .0331617<br />
DOUBLFLX | -.6599771 .1440746 -4.58 0.000 -.9452348 -.3747194<br />
BANCO | -.3687523 .1104346 -3.34 0.001 -.5874051 -.1500996<br />
UTILIVRFR | .2250078 .1357213 1.66 0.100 -.0437108 .4937265<br />
UTILIVMT | -.4011716 .1434308 -2.80 0.006 -.6851547 -.1171886<br />
APEACTIV | -.0883154 .0932855 -0.95 0.346 -.2730141 .0963833<br />
CONSULCOLL | -.0573656 .1206175 -0.48 0.635 -.2961798 .1814486<br />
INSPECTEUR | -.1079182 .1359605 -0.79 0.429 -.3771104 .1612741<br />
CONSPEDAG | -.009648 .1006209 -0.10 0.924 -.2088704 .1895744<br />
MTCHANGECO | .1645161 .108338 1.52 0.132 -.0499855 .3790177<br />
DIRENSEIG | .3032898 .1367901 2.22 0.028 .0324549 .5741248<br />
RURAL | -.3190505 .109197 -2.92 0.004 -.535253 -.102848<br />
_cons | -.1833874 .3359469 -0.55 0.586 -.8485389 .481764<br />
------------------------------------------------------------------------------<br />
. test VOLDPF = VOLNDPF<br />
( 1) VOLDPF - VOLNDPF = 0.0<br />
F( 1, 120) = 1.22<br />
Prob > F = 0.2707<br />
ii) les mathématiques<br />
Modèle IV.17<br />
. reg STFIN2M STINI2F STINI2M FILLE AGEPLUS ENFTCONFIE NIVEAUVIE3 REDAN2 LIV_FR<br />
LIV_MT MAITRFEM VOLDPF VOLNDPF DIPCYCLB NIVCYCLB MTMOBILE MTPRECENS MTAUTREACT<br />
MTRESTENS MTCONCOUR ABSMT DOUBLFLX BANCO UTILIVRFR UTILIVMT APEACTIV CONSULCOLL<br />
INSPECTEUR CONSPEDAG MTCHANGECO DIRENSEIG RURAL , cluster(NUMECOLE)<br />
Regression with robust standard errors Number of obs = 1447<br />
F( 31, 120) = 16.84<br />
Prob > F = 0.0000<br />
R-squared = 0.3109<br />
Number of clusters (NUMECOLE) = 121 Root MSE = .8369<br />
------------------------------------------------------------------------------<br />
| Robust<br />
106
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