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sqreg ccxsrzewy fiyz sex age age2 edu health marriage size logzfzc region,q(0.75 0.8 0.9 0.95)
(fitting base model)
Bootstrap replications (20)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
....................
Simultaneous quantile regression Number of obs = 10155
bootstrap(20) SEs .75 Pseudo R2 = 0.0123
.80 Pseudo R2 = 0.0178
.90 Pseudo R2 = 0.0381
.95 Pseudo R2 = 0.0480
------------------------------------------------------------------------------
| Bootstrap
ccxsrzewy | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
q75 |
fiyz | .1111141 .0116194 9.56 0.000 .0883378 .1338904
sex | -.0051366 .0109076 -0.47 0.638 -.0265177 .0162445
age | .0056733 .0028113 2.02 0.044 .0001625 .011184
age2 | -.0000182 .0000254 -0.72 0.473 -.0000681 .0000316
edu | .0192721 .0019519 9.87 0.000 .0154461 .0230982
health | .0240676 .0053142 4.53 0.000 .0136507 .0344844
marriage | .0320492 .0114487 2.80 0.005 .0096075 .0544908
size | .0008298 .0053465 0.16 0.877 -.0096503 .0113099
logzfzc1 | .0072001 .00176 4.09 0.000 .00375 .0106501
region | .14476 .0189259 7.65 0.000 .1076614 .1818585
_cons | -.4334825 .0814482 -5.32 0.000 -.5931371 -.273828
-------------+----------------------------------------------------------------
q80 |
fiyz | .1733054 .0168717 10.27 0.000 .1402335 .2063772
sex | -.0052007 .0191118 -0.27 0.786 -.0426637 .0322622
age | .0120839 .0049671 2.43 0.015 .0023474 .0218205
age2 | -.0000619 .0000432 -1.43 0.152 -.0001465 .0000227
edu | .0338659 .0031199 10.85 0.000 .0277503 .0399815
health | .0430244 .0095678 4.50 0.000 .0242696 .0617792
marriage | .0394599 .0222135 1.78 0.076 -.0040829 .0830027
size | .0092397 .0085506 1.08 0.280 -.0075212 .0260007
logzfzc1 | .0180377 .002811 6.42 0.000 .0125275 .0235478
region | .2412282 .0351764 6.86 0.000 .1722755 .3101809
_cons | -.7913823 .1392109 -5.68 0.000 -1.064263 -.5185014
-------------+----------------------------------------------------------------
q90 |
fiyz | .4489961 .0559061 8.03 0.000 .3394091 .5585831
sex | -.0709374 .0434455 -1.63 0.103 -.1560991 .0142243
age | .025365 .0107461 2.36 0.018 .0043006 .0464294
age2 | -.0001235 .0000875 -1.41 0.158 -.000295 .0000481
edu | .1042846 .0078383 13.30 0.000 .0889199 .1196493
health | .1108388 .0388955 2.85 0.004 .034596 .1870817
marriage | -.0591118 .0739253 -0.80 0.424 -.2040201 .0857964
size | .058425 .0322195 1.81 0.070 -.0047316 .1215815
logzfzc1 | .0487704 .0084 5.81 0.000 .0323049 .065236
region | .8645785 .1241278 6.97 0.000 .6212634 1.107894
_cons | -1.696842 .4019959 -4.22 0.000 -2.484834 -.9088505
-------------+----------------------------------------------------------------
q95 |
fiyz | .78314 .1659801 4.72 0.000 .4577861 1.108494
sex | -.1963492 .1712107 -1.15 0.251 -.531956 .1392576
age | -.0072996 .0288412 -0.25 0.800 -.0638342 .0492349
age2 | .0002982 .0002446 1.22 0.223 -.0001812 .0007776
edu | .2001536 .0342831 5.84 0.000 .1329519 .2673552
health | .2291688 .0767788 2.98 0.003 .0786672 .3796704
marriage | .0458193 .3149104 0.15 0.884 -.5714674 .663106
size | .1405237 .1148844 1.22 0.221 -.0846726 .3657199
logzfzc1 | .0840582 .0247301 3.40 0.001 .0355823 .132534
region | 2.197163 .3541124 6.20 0.000 1.503033 2.891294
_cons | -1.862743 1.150388 -1.62 0.105 -4.117731 .3922449
------------------------------------------------------------------------------
以上是不取对数的分位数回归结果，是越来越大的。
sqreg logccxsr fiyz sex age age2 edu health marriage size logzfzc region,q(0.75 0.8 0.9 0.95)
(fitting base model)
Bootstrap replications (20)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
....................
Simultaneous quantile regression Number of obs = 10155
bootstrap(20) SEs .75 Pseudo R2 = 0.0664
.80 Pseudo R2 = 0.0555
.90 Pseudo R2 = 0.0490
.95 Pseudo R2 = 0.0459
------------------------------------------------------------------------------
| Bootstrap
logccxsr | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
q75 |
fiyz | 1.982618 .1591314 12.46 0.000 1.670689 2.294547
sex | .0411601 .1423095 0.29 0.772 -.2377948 .3201149
age | .1390366 .0310585 4.48 0.000 .0781559 .1999174
age2 | -.0008359 .00029 -2.88 0.004 -.0014043 -.0002675
edu | .2823691 .0289356 9.76 0.000 .2256495 .3390887
health | .3775458 .1018032 3.71 0.000 .1779913 .5771003
marriage | .5937203 .2048861 2.90 0.004 .1921031 .9953375
size | -.0607855 .0690846 -0.88 0.379 -.196205 .074634
logzfzc1 | .0500367 .0076396 6.55 0.000 .0350615 .065012
region | 1.592637 .1362578 11.69 0.000 1.325545 1.859729
_cons | -4.60549 .8543505 -5.39 0.000 -6.280186 -2.930794
-------------+----------------------------------------------------------------
q80 |
fiyz | 1.355191 .1355484 10.00 0.000 1.089489 1.620893
sex | .0171565 .1233443 0.14 0.889 -.2246227 .2589357
age | .1283033 .0217429 5.90 0.000 .0856829 .1709237
age2 | -.0008336 .0002041 -4.08 0.000 -.0012336 -.0004336
edu | .2372412 .0250424 9.47 0.000 .1881532 .2863292
health | .2586346 .0674806 3.83 0.000 .1263594 .3909099
marriage | .4026326 .1498351 2.69 0.007 .1089262 .6963389
size | .0099601 .0612078 0.16 0.871 -.1100192 .1299395
logzfzc1 | .0505535 .0054281 9.31 0.000 .0399133 .0611937
region | 1.166163 .0936512 12.45 0.000 .9825876 1.349737
_cons | -1.750149 .7202726 -2.43 0.015 -3.162026 -.3382724
-------------+----------------------------------------------------------------
q90 |
fiyz | .7747728 .0777394 9.97 0.000 .6223882 .9271574
sex | .0465718 .1022702 0.46 0.649 -.1538981 .2470417
age | .0538001 .0157492 3.42 0.001 .0229285 .0846716
age2 | -.0003051 .0001454 -2.10 0.036 -.0005901 -.0000201
edu | .1809974 .0170117 10.64 0.000 .1476511 .2143436
health | .2303377 .0369511 6.23 0.000 .1579062 .3027691
marriage | -.0320574 .1312189 -0.24 0.807 -.2892723 .2251575
size | .0978981 .0509565 1.92 0.055 -.0019868 .197783
logzfzc1 | .0428145 .005854 7.31 0.000 .0313395 .0542895
region | .8642232 .0848561 10.18 0.000 .6978885 1.030558
_cons | 3.354768 .564248 5.95 0.000 2.248731 4.460806
-------------+----------------------------------------------------------------
q95 |
fiyz | .6267483 .1025698 6.11 0.000 .4256912 .8278054
sex | .0385181 .1248329 0.31 0.758 -.206179 .2832152
age | .0392933 .0249885 1.57 0.116 -.0096891 .0882756
age2 | -.0002209 .0002335 -0.95 0.344 -.0006787 .0002369
edu | .1545734 .0153142 10.09 0.000 .1245545 .1845924
health | .1701489 .0393565 4.32 0.000 .0930023 .2472955
marriage | .1683557 .156522 1.08 0.282 -.1384583 .4751698
size | .0554752 .0633468 0.88 0.381 -.068697 .1796474
logzfzc1 | .0346532 .0070101 4.94 0.000 .0209121 .0483943
region | .8160776 .1195489 6.83 0.000 .5817382 1.050417
_cons | 5.244791 .6136675 8.55 0.000 4.041881 6.4477
------------------------------------------------------------------------------
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这个是取了对数之后的分位数回归结果，是越来越小的。
想问一下这是什么原因
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