diff mianji,treat(baohuqu) period(year)id(pointid) kernel ktype(kernel) cov(jingliu
> liang jumindis xiegao) report logit support test
Report - Propensity score estimation with logit command
Atention: _pscore is estimated at baseline
Iteration 0: log likelihood = -30431.718
Iteration 1: log likelihood = -12428.556
Iteration 2: log likelihood = -8383.5077
Iteration 3: log likelihood = -6848.7971
Iteration 4: log likelihood = -6389.7205
Iteration 5: log likelihood = -6321.462
Iteration 6: log likelihood = -6319.2629
Iteration 7: log likelihood = -6319.2599
Logistic regression Number of obs = 44445
LR chi2(3) = 48224.92
Prob > chi2 = 0.0000
Log likelihood = -6319.2599 Pseudo R2 = 0.7923
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baohuqu | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
jingliuliang | -.0583179 .000702 -83.07 0.000 -.0596938 -.0569419
jumindis | -.0001146 6.88e-06 -16.65 0.000 -.0001281 -.0001011
xiegao | -.0360757 .0029777 -12.12 0.000 -.0419118 -.0302395
_cons | 14.59196 .1761581 82.83 0.000 14.2467 14.93722
------------------------------------------------------------------------------
Note: 129 failures and 0 successes completely determined.
Matching iterations...
variable __000003 not found
r(111);
如何改,数据完全参照高级计量经济学陈强版
然后使用该书所附数据也是一样的错误