目前使用双重差分法进行回归分析,在用事件研究法做平行趋势检验时,当期(current)和所有事后期(post)的系数都被omit是为什么呢?看到有其他帖子说,是因为数据存在共线性,但我不太懂是哪些变量之间的共线性呢?又要怎么解决目前的问题呢?(模型控制了个体和年度固定效应,有尝试过在事件研究时不加年度固定效应,但会导致事后期显著为负,但总体回归系数应该是正的,所以好像这个方法也不太行?)
希望有大佬解答一下~ lnFINet_w1 | Coefficient std. err. t P>|t| [95% conf. interval]
-------------+----------------------------------------------------------------
did | 0 (omitted)
Lev_w1 | 1.296426 .2166115 5.99 0.000 .870699 1.722153
Growth_w1 | -.0257005 .0522639 -0.49 0.623 -.1284198 .0770187
ROA_w1 | -.060723 .3732435 -0.16 0.871 -.794294 .6728479
IB_w1 | -.0243545 .3148285 -0.08 0.938 -.6431167 .5944077
Top1_w1 | .4453864 .59301 0.75 0.453 -.7201125 1.610885
CF0_w1 | .5833874 .1736506 3.36 0.001 .2420955 .9246794
Manage_w1 | -1.237607 .351471 -3.52 0.000 -1.928386 -.5468278
pre_3 | -.0964842 .1212115 -0.80 0.426 -.3347126 .1417442
pre_2 | -.0602547 .3345643 -0.18 0.857 -.7178057 .5972963
current | 0 (omitted)
post_1 | 0 (omitted)
post_2 | 0 (omitted)
post_3 | 0 (omitted)
post_4 | 0 (omitted)
post_5 | 0 (omitted)
post_6 | 0 (omitted)
post_7 | 0 (omitted)
pre_1 | .0643137 .0316178 2.03 0.043 .0021721 .1264552
|
year |
2012 | .1734328 .0249454 6.95 0.000 .1244053 .2224603
2013 | .3103853 .0295912 10.49 0.000 .2522268 .3685437
2014 | .4349833 .034687 12.54 0.000 .3668096 .5031569


雷达卡



京公网安备 11010802022788号







