本人正在做硕士论文的计量部分,数据选取的是30个省6年的面板数据,变量有5个,做出的结果如下:
. xtset province year
panel variable: province (strongly balanced)
time variable: year, 2011 to 2016
delta: 1 unit
. xtdes
province: 1, 2, ..., 30 n = 30
year: 2011, 2012, ..., 2016 T = 6
Delta(year) = 1 unit
Span(year) = 6 periods
(province*year uniquely identifies each observation)
Distribution of T_i: min 5% 25% 50% 75% 95% m
> ax
6 6 6 6 6 6
> 6
Freq. Percent Cum. | Pattern
---------------------------+---------
30 100.00 100.00 | 111111
---------------------------+---------
30 100.00 | XXXXXX
. reg y x1 x2 x3 x4 x5,vce(cluster province)
Linear regression Number of obs = 1
> 80
F(5, 29) = 19.
> 01
Prob > F = 0.00
> 00
R-squared = 0.73
> 76
Root MSE = 1.28
> 45
(Std. Err. adjusted for 30 clusters in provinc
> e)
----------------------------------------------------------------------------
> --
| Robust
y | Coef. Std. Err. t P>|t| [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
x1 | .2555197 .0399468 6.40 0.000 .1738193 .337
> 22
x2 | .0000217 .0000138 1.57 0.128 -6.59e-06 .00004
> 99
x3 | -.0000664 .0000224 -2.96 0.006 -.0001123 -.00002
> 05
x4 | -.4174785 .1272754 -3.28 0.003 -.6777859 -.1571
> 71
x5 | -3.561088 1.874544 -1.90 0.067 -7.39496 .27278
> 42
_cons | 1.629593 .7331681 2.22 0.034 .1300962 3.129
> 09
----------------------------------------------------------------------------
想问下,我那个Number of obs=1 是怎么回事?是因为样本量太少了吗?这样做出的结果有意义吗?


雷达卡




京公网安备 11010802022788号







