I am trying to compute a regression.
I have a continuous dependent variable (investment in millions of dollars)
One continuous independent variables
Five dichotomous indicators (1 / 0)
Four interactions.
Robust standard errors are being used.
N=569.
Is there any particular reason why the F-Test is not being worked out in Stata?
Stata help says:
Your estimation results show an F or chi2 model statistic reported to be missing. Stata has done that so as to not be misleading, not because there is something necessarily wrong with your model
The problem seems to be related to the interactive dummy variables, because when I remove them the F test is calculated.
The regression output is the following
Linear regression Number of obs = 580
F( 9, 569) = .
Prob > F = .
R-squared = 0.2336
Root MSE = 1.2608
Robust
lninv Coef. Std. Err. t P>t [95% Conf. Interval]
age 0.1392668 0.0363307 3.83 0.000 .0679081 0.2106255
1.idicatorone 0.4070426 0.2380546 1.71 0.088 -.0605304 0.8746155
1.indicatortwo 1.085003 0.1235029 8.79 0.000 .8424262 1.327581
1.indicatorthree -0.4390229 0.1781991 -2.46 0.014 -.7890312 -0.0890145
1.fincrisis 0.4526393 0.1376538 3.29 0.001 .1822677 0.7230108
1.bubble 1.657902 0.1088199 15.24 0.000 1.444165 1.87164
indicatorone#indicatortwo
1 1 0.0810565 0.2113363 0.38 0.701 -.3340379 0.496151
bubble#indicatorthree
1 1 -0.8225963 0.2688304 -3.06 0.002 -1.350617 -0.2945752
fincrisis#indicatorthree
1 1 -0.1068982 0.2141135 -0.5 0.618 -.5274474 0.313651
indicatorthree#c.age
1 -0.0103719 0.0450553 -0.23 0.818 -.0988669 0.0781231
_cons 0.0378515 0.1878819 0.2 0.840 -.3311753 0.4068783