Hello everyone,

I have a few question about the model. My data panel have n=15 and t=17.
1. I ran the command " xtreg ltar lGDP lrp lER PoliticalStabilityIndex, fe " -> F test gives p-value=.0000, does it mean fixed model is preferred right?
( I run the hausman test already, it conclude that fixed effect is preferred over random effect)

2. I also used tparm command to identify time-fixed effect -> Prob > F = 0.000 -> so I have to change the command to "xtreg ltar lGDP lrp lER PoliticalStabilityIndex i.Year, fe" is that correct?

3. Next, I ran xttest3 command -> Prob>chi2 = 0.0000 -> so I add robust option to the question "xtreg ltar lGDP lrp lER PoliticalStabilityIndex i.Year, fe robust" is that correct?

4. Do I need to check anything else?

This my recent result from the command:

. xtreg ltar lGDP lrp lER PoliticalStabilityIndex i.Year, fe
note: 2018.Year omitted because of collinearity

Fixed-effects (within) regression Number of obs = 255
Group variable: Country Number of groups = 15

R-sq: Obs per group:
within = 0.8329 min = 17
between = 0.0511 avg = 17.0
overall = 0.0689 max = 17

F(19,221) = 57.98
corr(u_i, Xb) = -0.9703 Prob > F = 0.0000

-----------------------------------------------------------------------------------------
ltar | Coef. Std. Err. t P>|t| [95% Conf. Interval]
------------------------+----------------------------------------------------------------
lGDP | 1.08133 .1858152 5.82 0.000 .715134 1.447527
lrp | -1.901327 .2252391 -8.44 0.000 -2.345219 -1.457436
lER | .9786174 .2060241 4.75 0.000 .5725941 1.384641
PoliticalStabilityIndex | -.6663922 .1184118 -5.63 0.000 -.8997531 -.4330314
|
Year |
2003 | -.5568676 .1017434 -5.47 0.000 -.7573791 -.3563561
2004 | -.8262596 .1412995 -5.85 0.000 -1.104727 -.5477927
2005 | -.9445234 .1487754 -6.35 0.000 -1.237723 -.6513234
2006 | -.9005576 .1623354 -5.55 0.000 -1.220481 -.580634
2007 | -.8346694 .1513442 -5.52 0.000 -1.132932 -.5364069
2008 | -.9709567 .163488 -5.94 0.000 -1.293152 -.6487618
2009 | -1.113443 .1798658 -6.19 0.000 -1.467915 -.7589716
2010 | -.9679523 .1726608 -5.61 0.000 -1.308225 -.62768
2011 | -.585531 .1389587 -4.21 0.000 -.8593846 -.3116773
2012 | -.4963004 .1435323 -3.46 0.001 -.7791676 -.2134331
2013 | -.4412465 .1478351 -2.98 0.003 -.7325935 -.1498995
2014 | -.3174818 .1124266 -2.82 0.005 -.5390471 -.0959164
2015 | -.3268567 .1157483 -2.82 0.005 -.5549684 -.098745
2016 | -.2978083 .115175 -2.59 0.010 -.5247902 -.0708264
2017 | -.0771997 .0975797 -0.79 0.430 -.2695056 .1151062
2018 | 0 (omitted)
|
_cons | 1.724773 1.593343 1.08 0.280 -1.415319 4.864864
------------------------+----------------------------------------------------------------
sigma_u | 3.3601182
sigma_e | .2627509
rho | .9939224 (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------
F test that all u_i=0: F(14, 221) = 90.80 Prob > F = 0.0000


Thank you for your help.