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info.lflag=0;
info.model=2;
info.fe=0;
results=sar_panel_FE(y,x,W,T,info)
vnames=strvcat('gy','lny0','lnp','gp','inv','sta','gov','road');
prt_spnew(results,vnames,1)
results =
meth: 'sartfe'
iter: 1
beta: [7x1 double]
rho: 0.1330
sige: 28.1138
con: 44.5767
tfe: [10x1 double]
ttfe: [10x1 double]
tcon: 6.0504e-004
tnvar: 17
resid: [310x1 double]
rsqr: 0.4008
corr2: 0.1483
yhat: [310x1 double]
lik: -957.6429
cov: [8x8 double]
tstat: [8x1 double]
nobs: 310
nvar: 7
rmax: 1
rmin: -1
lflag: 0
order: 50
miter: 30
fe: 0
time: 0.0800
time1: 0.0410
time2: 0
time3: 0.0030
time4: 0.0100
lndet: [2001x2 double]
N: 31
T: 10
model: 2
Pooled model with spatially lagged dependent variable and time period fixed effects
Dependent Variable = gy
R-squared = 0.4008
corr-squared = 0.1483
sigma^2 = 28.1138
Nobs,Nvar,#FE = 310, 8, 17
log-likelihood = -957.64293
# of iterations = 1
min and max rho = -1.0000, 1.0000
total time in secs = 0.0800
time for optimiz = 0.0100
time for lndet = 0.0410
time for t-stats = 0.0030
No lndet approximation used
***************************************************************
Variable Coefficient Asymptot t-stat z-probability
lny0 -2.390428 -2.648101 0.008095
lnp -0.690853 -1.252104 0.210532
gp -0.223688 -1.586672 0.112587
inv 0.100171 3.146406 0.001653
sta -0.061677 -1.837124 0.066192
gov -0.227491 -3.190862 0.001418
road -1.732352 -1.542173 0.123032
W*dep.var. 0.132969 1.789156 0.073590
请教楼主怎么我的输不出时间固定效应
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