Linear regression | Number of obs = 714 | |||
F( 10, 703) = 18.63 | ||||
Prob > F = 0.0000 | ||||
R-squared = 0.2102 | ||||
Root MSE = 7.748 | ||||
Robust | ||||
finprof Coef. | Std. Err. | t | P>t | [99% Conf. Interval] |
treatment 4.907879 | .5935881 | 8.27 | 0.000 | 3.374736 6.441023 |
numstudents -.0030472 | .0009961 | -3.06 | 0.002 | -.00562 -.0004745 |
numteachers .0252369 | .0203227 | 1.24 | 0.215 | -.0272533 .0777272 |
perc_fem .0570269 | .0189111 | 3.02 | 0.003 | .0081826 .1058712 |
perc_momsec .0414125 | .0224185 | 1.85 | 0.065 | -.0164909 .099316 |
perc_dadsec .0113967 | .0244705 | 0.47 | 0.642 | -.0518067 .0746001 |
perc_transfer -.0719767 | .021672 | -3.32 | 0.001 | -.127952 -.0160015 |
perc_comp .0259924 | .0187199 | 1.39 | 0.165 | -.0223581 .074343 |
perc_failonce -.0945593 | .016901 | -5.59 | 0.000 | -.1382119 -.0509067 |
perc_nowork -.0266942 | .0173134 | -1.54 | 0.124 | -.071412 .0180237 |
_cons 55.85265 | 2.146482 | 26.02 | 0.000 | 50.30863 61.39667 |
As a way to test whether E[ui∨treatmenti]=0, researchers sometimes estimate a regression of treatment on other independent variables and check if they are jointly statistically significant. Perform this exercise by first regressing treatment on the following control variables (in a single regression): number of students in school, number of teachers in school, % female, % mother has secondary schooling, % father has secondary schooling, % receiving cash transfer, % with computer with internet, % students failed at least one year, % students not working.
Then perform a test of model significance, and comment on whether the result does or does not support the assumption E[ui∨treatmenti]=0
I DONT NEED AN EXACT ANSWER, I JUST NEED SOMEONE TO EXPLAIN HOW I WOULD GO ABOUT CHECKING IF THE VARIABLES ARE JOINTLY STATISTICALLY SIGNIFICANT USING STATA. THANKS IN ADVANCE!
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