Number of observations in the DIFF-IN-DIFF: 300
Before After
Control: 120 120 240
Treated: 30 30 60
150 150
--------------------------------------------------------
Outcome var. | co2 | S. Err. | |t| | P>|t|
----------------+---------+---------+---------+---------
Before | | | |
Control | 2380.303| | |
Treated | 3268.522| | |
Diff (T-C) | 888.219 | 98.112 | 9.05 | 0.000***
After | | | |
Control | 2510.687| | |
Treated | 2564.463| | |
Diff (T-C) | 53.776 | 105.942 | 0.51 | 0.612
| | | |
Diff-in-Diff | -834.443| 127.202 | 6.56 | 0.000***
--------------------------------------------------------
然后程序为:diff co2,t(treat) p(t) cov(gongye jishu feiqi zhengfu waizi envir edu gdp) kernel id(id) report,结果显示控制组数据为0个,为什么:Number of observations in the DIFF-IN-DIFF: 60
Before After
Control: 0 0 0
Treated: 30 30 60
30 30
--------------------------------------------------------
Outcome var. | co2 | S. Err. | |t| | P>|t|
----------------+---------+---------+---------+---------
Before | | | |
Control | 3672.224| | |
Treated | 3672.224| | |
Diff (T-C) | 0.000 | . | . | .
After | | | |
Control | 3547.433| | |
Treated | 3547.433| | |
Diff (T-C) | 0.000 | . | . | .
| | | |
Diff-in-Diff | 0.000 | . | . | .
--------------------------------------------------------
R-square: 0.00
* Means and Standard Errors are estimated by linear regression
**Inference: *** p<0.01; ** p<0.05; * p<0.1
我做的是面板数据,数据录入如下图,请问是怎么回事啊:


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