双向固定效应结果怎么时间和个体都缺了第一个？ - Stata专版

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马红梅加油 发表于 2023-4-1 17:44:54 |AI写论文

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我用的数据是从1986-2021年的，涉及到13个城市，做双向固定效应。但是结果里边怎么都各自缺了第一个年份和城市呀？
我在B站上看一个up做的就不缺，就很迷惑。

请前辈指点指点我吧。小白提前谢谢各位前辈了。

（附上结果）
i.y  i.city

   Source |    SS          df    MS    Number of obs =    468
-------------+---------------------------------- F(55, 412)    =    21.90
   Model |  62.8577838       55 1.1428688 Prob > F       = 0.0000
Residual |  21.4976332    412  .052178721 R-squared    = 0.7452
-------------+---------------------------------- Adj R-squared = 0.7111
   Total | 84.355417    467  .180632584 Root MSE       = .22843

-------------------------------------------------------------------------------
      l_r | Coefficient  Std. err.    t P>|t|    [95% conf. interval]
--------------+----------------------------------------------------------------
   tmax_r | 1.703051 .6644584    2.56 0.011    .3968992 3.009202
   tavg_r |  -1.488957 .6199088 -2.40 0.017 -2.707535 -.270378
   tmin_r | .284732 .2321387    1.23 0.221    -.171592    .741056
   prcp_r |  -.0045148 .0050119 -0.90 0.368 -.0143668 .0053373
tmax_r_square |  -.0390837 .0153092 -2.55 0.011 -.0691777 -.0089897
tavg_r_square | .0480632 .0195502    2.46 0.014    .0096326 .0864937
tmin_r_square |  -.0183814 .0116286 -1.58 0.115 -.0412403 .0044775
prcp_r_square | .0000252 .0000417    0.60 0.546 -.0000568 .0001072
            |
         y |
      1987  | -.240813 .0926621 -2.60 0.010 -.4229625 -.0586635
      1988  |  -.0382807 .0969886 -0.39 0.693 -.2289349 .1523734
      1989  | .0339376 .0899551    0.38 0.706 -.1428907 .2107659
      1990  | .2710224 .094574    2.87 0.004    .0851147 .4569302
      1991  | .1391885 .0937738    1.48 0.138 -.0451463 .3235232
      1992  | .2346753 .090648    2.59 0.010    .0564851 .4128655
      1993  | .3026552 .0930868    3.25 0.001    .1196709 .4856395
      1994  | .481819 .1028064    4.69 0.000    .2797285 .6839095
      1995  | .4980892 .0906234    5.50 0.000    .3199473 .6762311
      1996  | .5995676 .0927118    6.47 0.000    .4173204 .7818148
      1997  | .6924076 .0955475    7.25 0.000    .5045862    .880229
      1998  | .6297446 .1129938    5.57 0.000    .4076282    .851861
      1999  | .6275344 .0936763    6.70 0.000    .4433913 .8116774
      2000  | .6788936 .1149622    5.91 0.000    .4529079 .9048793
      2001  | .6059022 .1017507    5.95 0.000    .4058869 .8059174
      2002  | .4508848 .0963542    4.68 0.000    .2614776    .640292
      2003  |  -.8438074 .0960395 -8.79 0.000 -1.032596 -.6550188
      2004  |  -.2922032 .0967794 -3.02 0.003 -.4824462 -.1019603
      2005  | .6066915 .1016239    5.97 0.000    .4069255 .8064574
      2006  | .6518138 .0936641    6.96 0.000    .4676946 .8359329
      2007  | .6666471 .1038058    6.42 0.000    .462592 .8707022
      2008  | .7797908 .1062668    7.34 0.000    .570898 .9886837
      2009  | .6883408 .0949302    7.25 0.000    .5017329 .8749487
      2010  | .7676465 .1072943    7.15 0.000    .556734    .978559
      2011  | .7304685 .0985761    7.41 0.000    .5366937 .9242433
      2012  | .8262965 .1064966    7.76 0.000    .6169521 1.035641
      2013  | .7072256 .1152194    6.14 0.000    .4807343 .9337168
      2014  | .6523933 .1059713    6.16 0.000    .4440814 .8607052
      2015  | .6735327 .1012143    6.65 0.000    .4745719 .8724935
      2016  | .6433201 .1046138    6.15 0.000    .4376766 .8489635
      2017  | .5375371 .1112822    4.83 0.000    .3187854 .7562888
      2018  | .5657207 .115989    4.88 0.000    .3377166 .7937248
      2019  | .6017414 .1159025    5.19 0.000    .3739073 .8295755
      2020  | .694127 .1130027    6.14 0.000    .4719932 .9162609
      2021  | .7132725 .1206219    5.91 0.000    .4761614 .9503835
            |
      city |
         2  |  -.2675737 .0592583 -4.52 0.000    -.38406 -.1510875
         3  | .0185536 .0626608    0.30 0.767 -.1046211 .1417284
         4  |  -.2913827 .0890349 -3.27 0.001    -.466402 -.1163634
         5  |  -.0947751 .0673153 -1.41 0.160 -.2270993 .0375491
         6  |  -.2528813 .0583631 -4.33 0.000 -.3676079 -.1381547
         7  |  -.2795548 .0838941 -3.33 0.001 -.4444685 -.114641
         8  |  -.1764904 .0715117 -2.47 0.014 -.3170636 -.0359171
         9  |  -.0759983 .0625527 -1.21 0.225 -.1989606    .046964
      10  |  -.1507652 .0751469 -2.01 0.045 -.2984843 -.0030461
      11  |  -.3535793 .1148734 -3.08 0.002 -.5793903 -.1277683
      12  |  -.0608967 .0558879 -1.09 0.277 -.1707576 .0489642
      13  |  -.5880155 .1238105 -4.75 0.000 -.8313947 -.3446364
            |
      _cons | .5153784 5.626284    0.09 0.927 -10.54443 11.57518
-------------------------------------------------------------------------------