k = 110900
Source | SS df MS Number of obs = 758
-------------+---------------------------------- F(125, 632) = 33.62
Model | 3465.96171 125 27.7276937 Prob > F = 0.0000
Residual | 521.202 632 .824686708 R-squared = 0.8693
-------------+---------------------------------- Adj R-squared = 0.8434
Total | 3987.16371 757 5.26705906 Root MSE = .90812
------------------------------------------------------------------------------
lnq1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
lnp1 | -.6686882 .0666623 -10.03 0.000 -.7995946 -.5377818
|
j |
24 | -.9294544 1.295 -0.72 0.473 -3.472478 1.61357
32 | 5.917022 .9528012 6.21 0.000 4.045983 7.788062
36 | 8.514154 .9528038 8.94 0.000 6.64311 10.3852
40 | 1.348671 .9944476 1.36 0.176 -.6041499 3.301493
48 | 2.578897 .9598372 2.69 0.007 .694041 4.463753
50 | 3.277178 1.004177 3.26 0.001 1.305251 5.249105
58 | 3.281895 .9806446 3.35 0.001 1.356179 5.207611
68 | 2.178413 .9903177 2.20 0.028 .2337021 4.123125
70 | 1.385185 1.024752 1.35 0.177 -.6271464 3.397516
76 | 7.796606 .9528805 8.18 0.000 5.925411 9.667801
90 | 1.428449 1.295737 1.10 0.271 -1.116022 3.97292
104 | 3.691938 1.295992 2.85 0.005 1.146967 6.236909
112 | 3.095609 .990134 3.13 0.002 1.151259 5.03996
116 | -.7729208 1.12269 -0.69 0.491 -2.977574 1.431733
120 | 3.357505 .9723408 3.45 0.001 1.448096 5.266915
124 | 5.517942 .9724379 5.67 0.000 3.608342 7.427542
144 | .5670456 .9875221 0.57 0.566 -1.372176 2.506267
152 | 7.82204 .9529751 8.21 0.000 5.950659 9.693421
170 | 5.297757 .9529551 5.56 0.000 3.426416 7.169099
188 | 4.65148 .9530327 4.88 0.000 2.779986 6.522974
191 | 1.1766 1.004103 1.17 0.242 -.7951813 3.148382
208 | 5.449523 1.001113 5.44 0.000 3.483613 7.415433
214 | 1.299491 1.004225 1.29 0.196 -.6725317 3.271513
218 | 4.482936 .9529133 4.70 0.000 2.611677 6.354195
222 | 4.264705 .98756 4.32 0.000 2.325409 6.204001
231 | 1.143572 1.295711 0.88 0.378 -1.400848 3.687991
246 | .2010377 1.059437 0.19 0.850 -1.879405 2.28148
251 | 3.66057 .9598246 3.81 0.000 1.775739 5.545402
262 | 1.009989 1.295662 0.78 0.436 -1.534333 3.554312
276 | 3.531909 .960237 3.68 0.000 1.646268 5.41755
288 | 1.850232 1.025137 1.80 0.072 -.1628562 3.863319
300 | 2.73424 1.116064 2.45 0.015 .5425971 4.925882
320 | 3.50705 .9602109 3.65 0.000 1.62146 5.39264
328 | 1.882753 1.295693 1.45 0.147 -.6616303 4.427137
340 | -.1779251 1.058178 -0.17 0.867 -2.255894 1.900044
344 | 4.488518 .9527788 4.71 0.000 2.617523 6.359513
360 | 5.885197 .9528045 6.18 0.000 4.014151 7.756243
372 | -.4738425 1.296361 -0.37 0.715 -3.019539 2.071854
376 | 5.070966 .9529826 5.32 0.000 3.199571 6.942362
381 | 2.401955 1.004478 2.39 0.017 .4294364 4.374473
384 | .9302538 1.296212 0.72 0.473 -1.615149 3.475657
388 | 2.817945 .9529518 2.96 0.003 .94661 4.68928
392 | 3.78527 .9528681 3.97 0.000 1.9141 5.656441
398 | 3.113552 .9802247 3.18 0.002 1.18866 5.038443
400 | 3.871535 .9530502 4.06 0.000 2.000007 5.743063
408 | 1.013574 1.295989 0.78 0.434 -1.531392 3.55854
410 | 5.589898 .9529241 5.87 0.000 3.718617 7.461178
414 | .6609078 .9725315 0.68 0.497 -1.248876 2.570692
417 | 3.564267 1.29565 2.75 0.006 1.019968 6.108567
422 | 2.834241 .9663244 2.93 0.003 .9366455 4.731836
428 | 6.731056 1.024825 6.57 0.000 4.718583 8.743529
434 | 1.034042 1.122123 0.92 0.357 -1.169499 3.237582
440 | 5.958276 1.004743 5.93 0.000 3.985237 7.931315
446 | 1.080572 .9778468 1.11 0.270 -.8396498 3.000794
450 | 3.345516 1.058434 3.16 0.002 1.267044 5.423989
458 | 6.011417 .9535901 6.30 0.000 4.138829 7.884005
480 | 1.359519 .9645311 1.41 0.159 -.5345544 3.253592
484 | 6.687531 .953803 7.01 0.000 4.814525 8.560538
490 | 4.279363 .9704558 4.41 0.000 2.373655 6.185071
496 | 3.241647 1.122325 2.89 0.004 1.037709 5.445584
504 | -.1461038 1.298491 -0.11 0.910 -2.695983 2.403776
508 | 2.241294 .9901555 2.26 0.024 .296901 4.185687
512 | 2.728963 .9723787 2.81 0.005 .8194794 4.638447
524 | 4.635138 .9566957 4.84 0.000 2.756451 6.513825
528 | 7.217529 .9643584 7.48 0.000 5.323795 9.111264
540 | 1.794828 1.058582 1.70 0.090 -.2839353 3.873591
554 | 6.025854 .9528344 6.32 0.000 4.154749 7.896958
558 | 1.781203 .9702676 1.84 0.067 -.124135 3.686542
562 | 1.436487 1.29494 1.11 0.268 -1.106418 3.979393
566 | 2.819846 .9801875 2.88 0.004 .8950276 4.744664
579 | 8.929699 .9528273 9.37 0.000 7.058609 10.80079
586 | 4.137324 .9527839 4.34 0.000 2.266318 6.008329
591 | 2.208129 .9645152 2.29 0.022 .3140869 4.102171
598 | 3.314608 .959844 3.45 0.001 1.429738 5.199477
600 | 1.070098 .9901843 1.08 0.280 -.874351 3.014548
604 | 6.003889 .9528409 6.30 0.000 4.132772 7.875006
608 | 6.481487 .9528781 6.80 0.000 4.610296 8.352677
616 | 1.943333 1.295515 1.50 0.134 -.6007012 4.487368
634 | 1.820098 1.024934 1.78 0.076 -.1925895 3.832785
642 | 1.17915 1.284304 0.92 0.359 -1.34287 3.70117
643 | 5.362033 .9560536 5.61 0.000 3.484607 7.239459
682 | 6.176257 .9529186 6.48 0.000 4.304987 8.047526
686 | 2.261819 1.058234 2.14 0.033 .1837382 4.3399
688 | 3.592653 1.05361 3.41 0.001 1.523653 5.661652
699 | 7.143766 .9532485 7.49 0.000 5.271849 9.015684
702 | 5.015744 .952975 5.26 0.000 3.144363 6.887125
704 | 8.043766 .9533 8.44 0.000 6.171747 9.915784
711 | 5.713162 .9549325 5.98 0.000 3.837937 7.588386
716 | 3.872592 .9663571 4.01 0.000 1.974933 5.770252
724 | -.0485561 1.296124 -0.04 0.970 -2.593787 2.496675
728 | 2.105829 1.295677 1.63 0.105 -.4385245 4.650182
729 | 2.116046 1.058241 2.00 0.046 .037953 4.194139
740 | 2.396787 1.295405 1.85 0.065 -.1470315 4.940605
752 | .6554414 1.298299 0.50 0.614 -1.89406 3.204943
757 | 4.21836 1.123201 3.76 0.000 2.012703 6.424017
760 | 2.223679 1.122326 1.98 0.048 .01974 4.427617
764 | 7.258223 .9528796 7.62 0.000 5.38703 9.129416
768 | -.8565545 1.296001 -0.66 0.509 -3.401543 1.688434
780 | 2.068165 1.004499 2.06 0.040 .0956055 4.040724
784 | 4.776667 .9574933 4.99 0.000 2.896414 6.65692
788 | 2.292492 1.122489 2.04 0.042 .0882334 4.49675
792 | 7.330759 .9528103 7.69 0.000 5.459702 9.201816
800 | 1.29145 1.302576 0.99 0.322 -1.26645 3.84935
804 | 4.247206 .9528711 4.46 0.000 2.376029 6.118382
807 | 2.203759 1.053436 2.09 0.037 .1351001 4.272417
818 | 5.328441 .9560865 5.57 0.000 3.45095 7.205931
826 | 1.215241 1.001499 1.21 0.225 -.7514283 3.18191
842 | 7.063733 .954834 7.40 0.000 5.188702 8.938764
858 | 5.123174 .9527945 5.38 0.000 3.252148 6.9942
860 | 3.583953 1.295405 2.77 0.006 1.040135 6.127772
862 | 4.151502 .9778731 4.25 0.000 2.231229 6.071776
887 | 2.719524 1.122914 2.42 0.016 .514429 4.924618
894 | .2873106 1.11551 0.26 0.797 -1.903244 2.477866
|
t |
2008 | .702036 .1919488 3.66 0.000 .3251015 1.07897
2009 | .5907251 .1892357 3.12 0.002 .2191184 .9623319
2010 | .7948437 .1893458 4.20 0.000 .4230206 1.166667
2011 | .9482177 .1849624 5.13 0.000 .5850025 1.311433
2012 | 1.356285 .1797016 7.55 0.000 1.003401 1.70917
2013 | 1.265246 .1803582 7.02 0.000 .9110723 1.61942
2014 | 1.423285 .182768 7.79 0.000 1.064379 1.782191
2015 | 1.569401 .1805767 8.69 0.000 1.214798 1.924004
2016 | 1.591701 .1776985 8.96 0.000 1.24275 1.940652
2017 | 1.31202 .1825271 7.19 0.000 .9535873 1.670453
2018 | 1.418456 .1843258 7.70 0.000 1.056491 1.780421
|
_cons | 6.692765 .9272766 7.22 0.000 4.871849 8.513681
------------------------------------------------------------------------------
stata设置年份——国家虚拟变量后,输出的回归结果如上图。那我的回归表达式怎么表示啊?是lnq1=-0.6686882*lnp1+ 6.692765 吗?


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