以下是图表
xtset id year
panel variable: id (strongly balanced)
time variable: year, 1990 to 2010
delta: 1 unit
. xtabond inf un, lags(1) artests(2)
Arellano-Bond dynamic panel-data estimation Number of obs = 532
Group variable: id Number of groups = 28
Time variable: year
Obs per group: min = 19
avg = 19
max = 19
Number of instruments = 192 Wald chi2(2) = 23.27
Prob > chi2 = 0.0000
One-step results
------------------------------------------------------------------------------
inf | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
inf |
L1. | .1961108 .0439373 4.46 0.000hao .1099952 .2822263
|
un | .6267329 .2935928 2.13 0.033 .0513016 1.202164
_cons | 4.691925 1.077374 4.35 0.000 2.580312 6.803539
------------------------------------------------------------------------------
Instruments for differenced equation
GMM-type: L(2/.).inf
Standard: D.un
Instruments for level equation
Standard: _cons
. xtdpdsys inf un, lags(1) artests(2)
System dynamic panel-data estimation Number of obs = 560
Group variable: id Number of groups = 28
Time variable: year
Obs per group: min = 20
avg = 20
max = 20
Number of instruments = 211 Wald chi2(2) = 35.81
Prob > chi2 = 0.0000
One-step results
------------------------------------------------------------------------------
inf | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
inf |
L1. | .2133618 .0368082 5.80 0.000 .141219 .2855045
|
un | .5087088 .276412 1.84 0.066 -.0330486 1.050466
_cons | 4.946541 1.00019 4.95 0.000 2.986204 6.906877
------------------------------------------------------------------------------
Instruments for differenced equation
GMM-type: L(2/.).inf
Standard: D.un
Instruments for level equation
GMM-type: LD.inf
Standard: _cons
模型目的是想测试 通货膨胀率,滞后一期的通胀率,和失业率之间的关系。