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雷达卡
我用ologit算边际效应时，当我输入 margins, dydx( land )，得出的结果却是
margins,dydx( land)
too many options
r(1003);
谁能告诉我应该怎么办呀？因为写论文急着用，请大家帮我一下，谢谢
以下是我的具体分析
ologit gdp land ginf fix consume
Iteration 0: log likelihood = -2119.065
Iteration 1: log likelihood = -2024.3002
Iteration 2: log likelihood = -2018.4868
Iteration 3: log likelihood = -2018.4694
Iteration 4: log likelihood = -2018.4694
Ordered logistic regression Number of obs = 419
LR chi2(4) = 201.19
Prob > chi2 = 0.0000
Log likelihood = -2018.4694 Pseudo R2 = 0.0475
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gdp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
land | .0076242 .0029057 2.62 0.009 .0019291 .0133193
ginf | .6204746 .0517457 11.99 0.000 .5190549 .7218944
fix | -.0199272 .003864 -5.16 0.000 -.0275004 -.012354
consume | .0000334 .0013607 0.02 0.980 -.0026335 .0027004
-------------+----------------------------------------------------------------
/cut1 | -5.961881 1.056672 -8.032921 -3.890842
/cut2 | -5.260705 .7855042 -6.800265 -3.721145
/cut3 | -4.849776 .6713191 -6.165537 -3.534015
/cut4 | -4.555071 .6060917 -5.742989 -3.367153
/cut5 | -4.323639 .5632867 -5.42766 -3.219617
/cut6 | -4.133152 .5328295 -5.177479 -3.088826
/cut7 | -3.971694 .5098985 -4.971077 -2.972312
/cut8 | -3.83192 .4919923 -4.796207 -2.867633
/cut9 | -3.708331 .4775989 -4.644407 -2.772254
/cut10 | -3.59755 .465803 -4.510508 -2.684593
/cut11 | -3.496993 .4559449 -4.390628 -2.603357
/cut12 | -3.404932 .4475765 -4.282166 -2.527699
/cut13 | -3.320193 .4403861 -4.183334 -2.457053
/cut14 | -3.099246 .4237297 -3.929741 -2.268751
/cut15 | -2.972463 .4154355 -3.786702 -2.158225
/cut16 | -2.753486 .4029 -3.543156 -1.963817
/cut17 | -2.568779 .3940308 -3.341065 -1.796493
/cut18 | -2.486389 .3905892 -3.25193 -1.720848
/cut19 | -2.409286 .3876314 -3.16903 -1.649543
/cut20 | -2.336936 .3850891 -3.091696 -1.582175
/cut21 | -2.235192 .3819771 -2.983853 -1.486531
/cut22 | -2.140497 .3794651 -2.884235 -1.396759
/cut23 | -1.966579 .3752184 -2.701994 -1.231165
/cut24 | -1.859933 .3728652 -2.590735 -1.129131
/cut25 | -1.713842 .3700402 -2.439107 -.9885764
/cut26 | -1.668083 .3692257 -2.391752 -.944414
/cut27 | -1.493561 .3661737 -2.211249 -.7758739
/cut28 | -1.368876 .3639341 -2.082173 -.655578
/cut29 | -1.30858 .3627903 -2.019636 -.5975241
/cut30 | -1.269485 .362035 -1.97906 -.5599092
/cut31 | -1.212142 .3609622 -1.919615 -.5046694
/cut32 | -1.102649 .3590275 -1.80633 -.398968
/cut33 | -1.067317 .3584136 -1.769795 -.3648394
/cut34 | -.9802797 .3568067 -1.679608 -.2809514
/cut35 | -.9632248 .3564791 -1.661911 -.2645386
/cut36 | -.8961398 .3551713 -1.592263 -.2000169
/cut37 | -.8146388 .3535455 -1.507575 -.1217024
/cut38 | -.7986246 .3532215 -1.490926 -.1063231
/cut39 | -.766673 .3525389 -1.457637 -.0757094
/cut40 | -.7347789 .3518584 -1.424409 -.0451491
/cut41 | -.7031548 .3512233 -1.39154 -.0147698
/cut42 | -.67199 .3506198 -1.359192 .0152121
/cut43 | -.6257023 .3497254 -1.311152 .0597469
/cut44 | -.594964 .3491124 -1.279212 .0892837
/cut45 | -.5488863 .3481967 -1.231339 .1335667
/cut46 | -.4881821 .3470372 -1.168363 .1919983
/cut47 | -.4143291 .3456746 -1.091839 .2631807
/cut48 | -.3998011 .3454117 -1.076796 .2771934
/cut49 | -.3853294 .3451532 -1.061817 .2911585
/cut50 | -.3709415 .3448923 -1.046918 .305035
/cut51 | -.3276214 .3441014 -1.002048 .3468049
/cut52 | -.3131284 .3438395 -.9870414 .3607847
/cut53 | -.2553845 .3427667 -.9271949 .4164259
/cut54 | -.2123164 .3419127 -.882453 .4578202
/cut55 | -.1980294 .3416152 -.8675828 .471524
/cut56 | -.1413056 .3403974 -.8084723 .5258611
/cut57 | -.0993041 .339491 -.7646944 .5660861
/cut58 | -.0714467 .3388995 -.7356775 .5927842
/cut59 | -.0436028 .3383312 -.7067199 .6195143
/cut60 | -.0020468 .3375643 -.6636607 .659567
/cut61 | .0118011 .3373251 -.6493439 .6729461
/cut62 | .0393929 .3368698 -.6208598 .6996456
/cut63 | .0531489 .3366531 -.6066791 .7129769
/cut64 | .0669433 .3364424 -.5924716 .7263582
/cut65 | .0806858 .3362354 -.5783234 .739695
/cut66 | .0943682 .3360275 -.5642335 .75297
/cut67 | .1351318 .3354179 -.5222752 .7925388
/cut68 | .1486892 .3352165 -.5083232 .8057015
/cut69 | .2029713 .3343843 -.4524098 .8583525
/cut70 | .2299031 .3339658 -.4246578 .8844639
/cut71 | .2568394 .3335606 -.3969273 .9106061
/cut72 | .2704004 .3333575 -.3829683 .9237691
/cut73 | .3509412 .3322405 -.3002383 1.002121
/cut74 | .3909124 .3317392 -.2592845 1.041109
/cut75 | .4312029 .3312498 -.2180347 1.080441
/cut76 | .4446816 .3310901 -.2042431 1.093606
/cut77 | .4717027 .3307654 -.1765855 1.119991
/cut78 | .4988475 .3304494 -.1488215 1.146516
/cut79 | .5260079 .3301633 -.1211004 1.173116
/cut80 | .5532488 .3299187 -.0933799 1.199877
/cut81 | .5807478 .3297058 -.0654638 1.226959
/cut82 | .6084037 .3295152 -.0374342 1.254242
/cut83 | .6222584 .3294288 -.0234102 1.267927
/cut84 | .6638869 .3291881 .0186901 1.309084
/cut85 | .6777116 .3291174 .0326533 1.32277
/cut86 | .6915324 .3290556 .0465953 1.33647
/cut87 | .7054266 .3290033 .0605919 1.350261
/cut88 | .747299 .3288726 .1027204 1.391877
/cut89 | .7896633 .3287451 .1453348 1.433992
/cut90 | .8184369 .3286644 .1742664 1.462607
/cut91 | .8329989 .3286326 .1888909 1.477107
/cut92 | .8621267 .3285917 .2180988 1.506155
/cut93 | .8766369 .3285837 .2326247 1.520649
/cut94 | .891181 .3285836 .2471689 1.535193
/cut95 | .9200686 .3285941 .276036 1.564101
/cut96 | .9344052 .3286064 .2903485 1.578462
/cut97 | .9632635 .3286518 .3191179 1.607409
/cut98 | .9923702 .3287167 .3480973 1.636643
/cut99 | 1.035765 .328826 .3912776 1.680252
/cut100 | 1.078498 .3289632 .4337421 1.723254
/cut101 | 1.120657 .3291255 .4755832 1.765731
/cut102 | 1.14864 .3292362 .5033485 1.793931
/cut103 | 1.191247 .3294552 .5455265 1.836967
/cut104 | 1.205607 .3295486 .5597038 1.851511
/cut105 | 1.234459 .3297678 .5881255 1.880792
/cut106 | 1.248936 .329895 .6023536 1.895518
/cut107 | 1.321481 .3305771 .6735615 1.9694
/cut108 | 1.335986 .3307158 .6877944 1.984177
/cut109 | 1.350404 .3308535 .7019431 1.998865
/cut110 | 1.364848 .3309958 .7161077 2.013588
/cut111 | 1.437594 .3317987 .7872802 2.087907
/cut112 | 1.481453 .332347 .8300648 2.132841
/cut113 | 1.540331 .3331564 .8873562 2.193305
/cut114 | 1.570012 .3336047 .9161584 2.223865
/cut115 | 1.584961 .333844 .9306387 2.239283
/cut116 | 1.600035 .3340926 .9452255 2.254844
/cut117 | 1.630456 .3346144 .9746242 2.286289
/cut118 | 1.692202 .3357439 1.034156 2.350248
/cut119 | 1.707876 .3360465 1.049236 2.366515
/cut120 | 1.739731 .3366919 1.079827 2.399635
/cut121 | 1.772318 .3373955 1.111035 2.433601
/cut122 | 1.822691 .3385491 1.159147 2.486235
/cut123 | 1.839849 .3389505 1.175519 2.50418
/cut124 | 1.874016 .339741 1.208136 2.539896
/cut125 | 1.925359 .3409408 1.257128 2.593591
/cut126 | 1.959917 .3417689 1.290062 2.629772
/cut127 | 2.011531 .3430304 1.339204 2.683859
/cut128 | 2.028774 .3434616 1.355602 2.701947
/cut129 | 2.046232 .3439119 1.372177 2.720287
/cut130 | 2.169565 .3472082 1.489049 2.850081
/cut131 | 2.205316 .3481949 1.522867 2.887766
/cut132 | 2.241356 .3491967 1.556943 2.925769
/cut133 | 2.259436 .349702 1.574033 2.94484
/cut134 | 2.277578 .3502115 1.591176 2.96398
/cut135 | 2.295656 .3507066 1.608283 2.983028
/cut136 | 2.331745 .3516656 1.642493 3.020997
/cut137 | 2.368315 .3526467 1.67714 3.05949
/cut138 | 2.423682 .3541429 1.729574 3.117789
/cut139 | 2.442051 .3546338 1.746982 3.137121
/cut140 | 2.515634 .3565716 1.816767 3.214502
/cut141 | 2.534045 .3570391 1.834261 3.233829
/cut142 | 2.570756 .3579133 1.869259 3.272253
/cut143 | 2.607642 .3587768 1.904453 3.310832
/cut144 | 2.778152 .3630255 2.066635 3.489669
/cut145 | 2.8369 .3645295 2.122435 3.551364
/cut146 | 2.937934 .3671513 2.218331 3.657538
/cut147 | 3.021314 .3693561 2.297389 3.745239
/cut148 | 3.042391 .3699096 2.317382 3.767401
/cut149 | 3.106652 .3715939 2.378341 3.834963
/cut150 | 3.128511 .3721799 2.399052 3.85797
/cut151 | 3.150545 .3727777 2.419914 3.881176
/cut152 | 3.172791 .3733836 2.440972 3.904609
/cut153 | 3.195192 .3739944 2.462176 3.928207
/cut154 | 3.217614 .3745932 2.483424 3.951803
/cut155 | 3.285705 .376406 2.547963 4.023447
/cut156 | 3.332119 .3776755 2.591889 4.07235
/cut157 | 3.403735 .3796922 2.659552 4.147918
/cut158 | 3.428309 .3804047 2.68273 4.173889
/cut159 | 3.532108 .3835722 2.78032 4.283896
/cut160 | 3.615691 .3862393 2.858676 4.372706
/cut161 | 3.765382 .3913318 2.998385 4.532378
/cut162 | 3.797225 .3924884 3.027962 4.566488
/cut163 | 3.863492 .3949215 3.08946 4.637524
/cut164 | 3.89751 .3961742 3.121022 4.673997
/cut165 | 4.003042 .4001276 3.218806 4.787278
/cut166 | 4.039895 .4015363 3.252899 4.826892
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