Hello,
I'm trying to report how many countries are used in the regression. Overall, I have 210 countries but when I use xtreg with cluster (countryid) I get 19 cluster with 245 obs. Does that mean stata only uses 19 countries out of the 210? If so how do I know exactly which countries were used to report them?
I'm trying to report how many countries are used in the regression. Overall, I have 210 countries but when I use xtreg with cluster (countryid) I get 19 cluster with 245 obs. Does that mean stata only uses 19 countries out of the 210? If so how do I know exactly which countries were used to report them?
Code:
. xtreg RND_L1 PT LVG EDU RER GI EX i.year, fe vce (cluster countryid)
Fixed-effects (within) regression Number of obs = 245
Group variable: countryid Number of groups = 19
R-squared: Obs per group:
Within = 0.8208 min = 1
Between = 0.8691 avg = 12.9
Overall = 0.8531 max = 22
F(17, 18) = .
corr(u_i, Xb) = -0.1732 Prob > F = .
(Std. err. adjusted for 19 clusters in countryid)
------------------------------------------------------------------------------
| Robust
RND_L1 | Coefficient std. err. t P>|t| [95% conf. interval]
-------------+----------------------------------------------------------------
PT | .0000107 4.80e-06 2.24 0.038 6.52e-07 .0000208
LVG | .0010705 .0046121 0.23 0.819 -.0086193 .0107602
EDU | -.0007879 .000812 -0.97 0.345 -.0024938 .0009181
RER | .1875298 .0261458 7.17 0.000 .1325996 .24246
GI | .1811364 .1003071 1.81 0.088 -.029601 .3918738
EX | 1.38e-13 4.78e-14 2.89 0.010 3.79e-14 2.39e-13
|
year |
1998 | -.1235447 .0490124 -2.52 0.021 -.226516 -.0205734
2000 | -.1809205 .0561841 -3.22 0.005 -.2989589 -.0628821
2002 | -.1630455 .0647517 -2.52 0.021 -.2990839 -.0270071
2003 | -.211208 .0807408 -2.62 0.018 -.3808382 -.0415779
2004 | -.2558977 .0846964 -3.02 0.007 -.4338382 -.0779572
2005 | -.375531 .0847287 -4.43 0.000 -.5535394 -.1975226
2006 | -.4018351 .0963889 -4.17 0.001 -.6043408 -.1993295
2007 | -.3308158 .1063462 -3.11 0.006 -.5542408 -.1073908
2008 | -.3494172 .0976471 -3.58 0.002 -.5545661 -.1442682
2009 | -.3675588 .1091574 -3.37 0.003 -.59689 -.1382276
2010 | -.3349151 .110104 -3.04 0.007 -.566235 -.1035951
2011 | -.4053691 .1132132 -3.58 0.002 -.6432211 -.1675171
2012 | -.3816739 .1179611 -3.24 0.005 -.6295009 -.1338469
2013 | -.3914677 .1106028 -3.54 0.002 -.6238355 -.1590998
2014 | -.3465078 .1171806 -2.96 0.008 -.5926951 -.1003206
2015 | -.3408115 .1167894 -2.92 0.009 -.586177 -.095446
2016 | -.3211964 .1259811 -2.55 0.020 -.5858728 -.05652
2017 | -.4002083 .1189205 -3.37 0.003 -.6500509 -.1503657
2018 | -.4021009 .1276099 -3.15 0.006 -.6701993 -.1340024
2019 | -.3948782 .1365883 -2.89 0.010 -.6818395 -.1079169
2020 | -.3981084 .1501188 -2.65 0.016 -.7134963 -.0827204
|
_cons | .305317 .1684274 1.81 0.087 -.0485358 .6591699
-------------+----------------------------------------------------------------
sigma_u | .37211548
sigma_e | .13867569
rho | .87805428 (fraction of variance due to u_i)
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