Hello all,
Right now I'm using the margins and marginsplot commands to look at the graphs of two of my functions.
Both serve me to observe the relationship between two dependent variables (HHI2 and c.HHI2#c.HHI2) on two independent variables (FSTS and FATA).
This is the result:
Code:
eg FSTS_5 c.HHI2 c.HHI2#c.HHI2 emp xad FSTS i.fyear i.naicsh2, robust
Linear regression Number of obs = 2,153
F(31, 2121) = 298.99
Prob > F = 0.0000
R-squared = 0.3360
Root MSE = 244.71
------------------------------------------------------------------------------
| Robust
FSTS_5 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
HHI2 | 5.748962 5.958279 0.96 0.335 -5.935718 17.43364
|
c.HHI2#|
c.HHI2 | -6.141813 2.916205 -2.11 0.035 -11.86073 -.4228923
|
emp | .0175882 .0280968 0.63 0.531 -.0375119 .0726883
xad | -.0046756 .0023271 -2.01 0.045 -.0092393 -.000112
FSTS | -.9846829 .0135233 -72.81 0.000 -1.011203 -.9581625
|
fyear |
2010 | 28.35477 21.9708 1.29 0.197 -14.73179 71.44133
2011 | 15.00335 17.3051 0.87 0.386 -18.9334 48.94009
2012 | 9.730732 17.83667 0.55 0.585 -25.24845 44.70992
2013 | 10.75918 16.95665 0.63 0.526 -22.49421 44.01258
2014 | -120.2575 138.6513 -0.87 0.386 -392.1641 151.6492
|
naicsh2 |
21 | 14.1921 8.22762 1.72 0.085 -1.942946 30.32715
23 | 1131.067 921.8457 1.23 0.220 -676.7488 2938.883
31 | 18.74618 6.566223 2.85 0.004 5.869268 31.62308
32 | 9.011241 4.928855 1.83 0.068 -.654653 18.67714
33 | 20.72985 12.44844 1.67 0.096 -3.682577 45.14228
42 | 12.48527 6.227395 2.00 0.045 .272827 24.69771
44 | -9.355896 18.03097 -0.52 0.604 -44.71612 26.00433
45 | 26.66661 29.08853 0.92 0.359 -30.37842 83.71163
48 | 4.820748 5.842496 0.83 0.409 -6.636873 16.27837
49 | -3.108557 9.183999 -0.34 0.735 -21.11914 14.90203
51 | 14.96792 6.146632 2.44 0.015 2.913862 27.02198
52 | 6.339456 4.996703 1.27 0.205 -3.459493 16.1384
53 | 8.078983 5.903122 1.37 0.171 -3.497529 19.6555
54 | 6.421113 5.475224 1.17 0.241 -4.316257 17.15848
56 | 5.639013 5.717088 0.99 0.324 -5.57267 16.8507
61 | -3.834198 5.770391 -0.66 0.506 -15.15041 7.482019
62 | 7.551174 8.546145 0.88 0.377 -9.208525 24.31087
71 | 1.529445 9.937071 0.15 0.878 -17.95798 21.01687
72 | 3.060731 10.66999 0.29 0.774 -17.864 23.98546
81 | 3.465968 10.77805 0.32 0.748 -17.67069 24.60263
99 | 13.02404 10.43827 1.25 0.212 -7.446282 33.49436
|
_cons | -8.4586 14.86106 -0.57 0.569 -37.60237 20.68517
------------------------------------------------------------------------------
. margins, at(HHI2=(-2423761(1117477)3163628))
Predictive margins Number of obs = 2,153
Model VCE : Robust
Expression : Linear prediction, predict()
1._at : HHI2 = -2423761
2._at : HHI2 = -1306284
3._at : HHI2 = -188807
4._at : HHI2 = 928670
5._at : HHI2 = 2046147
6._at : HHI2 = 3163624
------------------------------------------------------------------------------
| Delta-method
| Margin Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_at |
1 | -3.61e+13 1.71e+13 -2.11 0.035 -6.97e+13 -2.48e+12
2 | -1.05e+13 4.98e+12 -2.11 0.035 -2.02e+13 -7.22e+11
3 | -2.19e+11 1.04e+11 -2.11 0.035 -4.23e+11 -1.51e+10
4 | -5.30e+12 2.52e+12 -2.11 0.035 -1.02e+13 -3.65e+11
5 | -2.57e+13 1.22e+13 -2.11 0.035 -4.97e+13 -1.77e+12
6 | -6.15e+13 2.92e+13 -2.11 0.035 -1.19e+14 -4.23e+12
------------------------------------------------------------------------------
. marginsplot, noci
Variables that uniquely identify margins: HHI2
. reg FATA_5 c.HHI2 c.HHI2#c.HHI2 ppent xad FATA i.fyear i.naicsh2, robust
Linear regression Number of obs = 792
F(27, 763) = .
Prob > F = .
R-squared = 0.0595
Root MSE = 1.1202
------------------------------------------------------------------------------
| Robust
FATA_5 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
HHI2 | -.0165341 .0359016 -0.46 0.645 -.0870117 .0539435
|
c.HHI2#|
c.HHI2 | .0539992 .0216495 2.49 0.013 .0114995 .0964989
|
ppent | -7.95e-06 6.37e-06 -1.25 0.212 -.0000204 4.55e-06
xad | .0000378 .000062 0.61 0.542 -.000084 .0001596
FATA | .1343711 .2019304 0.67 0.506 -.2620341 .5307762
|
fyear |
2010 | -.2459593 .2176589 -1.13 0.259 -.6732407 .1813222
2011 | -.2333696 .1971044 -1.18 0.237 -.6203008 .1535617
2012 | -.3467578 .2111575 -1.64 0.101 -.7612764 .0677608
2013 | -.3213393 .1899402 -1.69 0.091 -.6942068 .0515282
2014 | -.2064751 .2127234 -0.97 0.332 -.6240677 .2111174
|
naicsh2 |
31 | -.0743192 .2753656 -0.27 0.787 -.6148835 .466245
32 | -.1966656 .1492444 -1.32 0.188 -.4896441 .0963129
33 | -.019096 .1576282 -0.12 0.904 -.3285325 .2903405
42 | -.0332439 .1507483 -0.22 0.826 -.3291746 .2626869
44 | -.0854561 .1480687 -0.58 0.564 -.3761265 .2052143
45 | .0687517 .2181854 0.32 0.753 -.3595633 .4970667
48 | .3265516 .6709194 0.49 0.627 -.9905156 1.643619
49 | -.2243832 .3350705 -0.67 0.503 -.8821527 .4333863
51 | -.0832483 .1714566 -0.49 0.627 -.419831 .2533344
52 | -.1686548 .170126 -0.99 0.322 -.5026255 .1653158
53 | .0673404 .210384 0.32 0.749 -.3456597 .4803406
54 | -.0741498 .1613922 -0.46 0.646 -.3909753 .2426756
56 | .5535467 .3152264 1.76 0.079 -.0652673 1.172361
61 | .4271323 .2017446 2.12 0.035 .0310919 .8231727
62 | .5869191 .1646887 3.56 0.000 .2636223 .9102159
71 | -1.044368 1.085733 -0.96 0.336 -3.175747 1.08701
72 | .5358754 .3583476 1.50 0.135 -.1675888 1.23934
99 | .0488011 .1782962 0.27 0.784 -.3012082 .3988104
|
_cons | .1388832 .2227807 0.62 0.533 -.2984527 .5762191
------------------------------------------------------------------------------
. reg FATA_5 c.HHI2 c.HHI2#c.HHI2 ppent xrd FATA i.fyear i.naicsh2, robust
Linear regression Number of obs = 1,275
F(27, 1246) = .
Prob > F = .
R-squared = 0.0961
Root MSE = .8586
------------------------------------------------------------------------------
| Robust
FATA_5 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
HHI2 | .0195055 .0213385 0.91 0.361 -.0223578 .0613687
|
c.HHI2#|
c.HHI2 | .0495493 .0145082 3.42 0.001 .0210862 .0780125
|
ppent | -3.15e-06 1.82e-06 -1.73 0.085 -6.73e-06 4.31e-07
xrd | .0000206 .0000115 1.80 0.072 -1.84e-06 .0000431
FATA | .1481938 .228158 0.65 0.516 -.2994225 .59581
|
fyear |
2010 | -.2366492 .1873272 -1.26 0.207 -.6041608 .1308625
2011 | -.229709 .1766047 -1.30 0.194 -.5761844 .1167663
2012 | -.2354147 .1751642 -1.34 0.179 -.5790641 .1082346
2013 | -.3049266 .1750912 -1.74 0.082 -.6484328 .0385795
2014 | -.2289092 .1882133 -1.22 0.224 -.5981592 .1403407
|
naicsh2 |
21 | -.2419569 .8036023 -0.30 0.763 -1.81852 1.334606
23 | .1010646 .1894885 0.53 0.594 -.2706872 .4728164
31 | .0828105 .2214138 0.37 0.708 -.3515745 .5171956
32 | -.0947726 .1571047 -0.60 0.546 -.4029917 .2134464
33 | .0363552 .1754657 0.21 0.836 -.3078856 .3805961
42 | .0456493 .1812305 0.25 0.801 -.3099014 .4011999
44 | .0290768 .1645694 0.18 0.860 -.2937869 .3519405
45 | .0810528 .1920919 0.42 0.673 -.2958066 .4579121
51 | -.0342049 .1866898 -0.18 0.855 -.4004659 .3320561
52 | .8368939 .4879775 1.72 0.087 -.1204544 1.794242
53 | -.0331553 .2014176 -0.16 0.869 -.4283105 .3619999
54 | .1043922 .2340104 0.45 0.656 -.3547056 .56349
56 | 1.284458 .7020799 1.83 0.068 -.0929312 2.661847
62 | .4936155 .2511334 1.97 0.050 .0009244 .9863066
71 | -1.716256 1.933938 -0.89 0.375 -5.510391 2.07788
72 | .4055285 .4908074 0.83 0.409 -.5573716 1.368429
81 | .3935147 3.828506 0.10 0.918 -7.117516 7.904545
99 | 1.312217 .2205636 5.95 0.000 .8794997 1.744934
|
_cons | .0099779 .2152347 0.05 0.963 -.4122845 .4322403
------------------------------------------------------------------------------
. margins, at(HHI2=(-2423761(1117477)3163628))
Predictive margins Number of obs = 1,275
Model VCE : Robust
Expression : Linear prediction, predict()
1._at : HHI2 = -2423761
2._at : HHI2 = -1306284
3._at : HHI2 = -188807
4._at : HHI2 = 928670
5._at : HHI2 = 2046147
6._at : HHI2 = 3163624
------------------------------------------------------------------------------
| Delta-method
| Margin Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_at |
1 | 2.91e+11 8.52e+10 3.42 0.001 1.24e+11 4.58e+11
2 | 8.45e+10 2.48e+10 3.42 0.001 3.60e+10 1.33e+11
3 | 1.77e+09 5.17e+08 3.42 0.001 7.52e+08 2.78e+09
4 | 4.27e+10 1.25e+10 3.42 0.001 1.82e+10 6.73e+10
5 | 2.07e+11 6.07e+10 3.42 0.001 8.83e+10 3.27e+11
6 | 4.96e+11 1.45e+11 3.42 0.001 2.11e+11 7.81e+11
------------------------------------------------------------------------------
.Do you happen to know what might be the cause and a possible solution to this problem?
0 Response to Graphs domain-codomain
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