Dear readers
I am currently trying to plot a curvilinear relationship between two behaviors (certain domestic and international behaviors).
I use a heckman method for my empirical analysis, given those firms that choose to select to go international may qualitatively differ from those that do not.
The codes I use are the following:
Furthermore, I test interaction effects with some domestic country level variables, such as:
The results show that there exists a curvilinear relationship between the the variables usratio2_w and intratio2_w as shown below
I did not include the results for the interaction, because it would make the post too lengthy.
My ultimate goal is to plot a graph of the inverted-U shaped findings, and it would be ideal if I could do this in one graph with separate lines showing the original relationship and the interacted relationships.
I have tried many ways including the margins command but I keep hitting the wall due to my inexperience in Stata (I'm currently using Stata 16, if it helps).
In addition, I'm not sure if the usage of the Heckman method should somehow influence how I should plot the graphs.
Thank you very much in advance.
Your help is greatly appreciated.
I am currently trying to plot a curvilinear relationship between two behaviors (certain domestic and international behaviors).
I use a heckman method for my empirical analysis, given those firms that choose to select to go international may qualitatively differ from those that do not.
The codes I use are the following:
Code:
heckman intratio2_w c.L1.usratio2_w##c.L1.usratio2_w L1.intratio2_w L1.annualreturn5_w L1.regul2 $key_control i.fyear, select(intl = L1.intratio2_w L1.siznumfxhedge_w $key_control i.fyear) twostep
Code:
heckman intratio2_w c.L1.usratio2_w##c.L1.usratio2_w##c.L1.annualreturn5_w L1.regul2 L1.intratio2_w $key_control i.fyear, select(intl = L1.intratio2_w L1.siznumfxhedge_w $key_control i.fyear) twostep
Code:
heckman intratio2_w c.L1.usratio2_w##c.L1.usratio2_w L1.intratio2_w L1.annualreturn5_w L1.regul2 $key_
> control i.fyear, select(intl = L1.intratio2_w L1.siznumfxhedge_w $key_control i.fyear) twostep
note: 2015.fyear omitted because of collinearity
Heckman selection model -- two-step estimates Number of obs = 1,398
(regression model with sample selection) Selected = 366
Nonselected = 1,032
Wald chi2(29) = 280.91
Prob > chi2 = 0.0000
---------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
----------------------------+----------------------------------------------------------------
intratio2_w |
usratio2_w |
L1. | .2720963 .1278018 2.13 0.033 .0216094 .5225832
|
cL.usratio2_w#cL.usratio2_w | -.288744 .1455788 -1.98 0.047 -.5740733 -.0034147
|
intratio2_w |
L1. | .5211206 .0653576 7.97 0.000 .393022 .6492192
|
annualreturn5_w |
L1. | 973.2645 1098.729 0.89 0.376 -1180.205 3126.734
|
regul2 |
L1. | -.017766 .3312482 -0.05 0.957 -.6670005 .6314685
|
ln_firmage_w |
L1. | -.0135679 .0209061 -0.65 0.516 -.0545431 .0274074
|
ln_at_w |
L1. | -.0141518 .0068556 -2.06 0.039 -.0275885 -.0007151
|
tobinq_w |
L1. | .0318719 .0118094 2.70 0.007 .008726 .0550179
|
slack_w |
L1. | .1102677 .0534081 2.06 0.039 .0055896 .2149457
|
constraint_w |
L1. | .0030768 .0016573 1.86 0.063 -.0001714 .0063251
|
entropy_w |
L1. | -.0045865 .0376501 -0.12 0.903 -.0783793 .0692064
|
ln_tenure_y_w |
L1. | -.0059873 .0137784 -0.43 0.664 -.0329926 .0210179
|
isfounder_w |
L1. | .0100584 .0269353 0.37 0.709 -.0427339 .0628507
|
fyear |
1999 | -.4294316 .3530869 -1.22 0.224 -1.121469 .262606
2000 | -.6200813 .6436681 -0.96 0.335 -1.881648 .641485
2001 | -.2670098 .2043539 -1.31 0.191 -.667536 .1335164
2002 | -.1345528 .1770313 -0.76 0.447 -.4815277 .2124222
2003 | -.0704241 .0874952 -0.80 0.421 -.2419116 .1010634
2004 | -.1022615 .055527 -1.84 0.066 -.2110925 .0065696
2005 | -.1420184 .1794518 -0.79 0.429 -.4937375 .2097007
2006 | -.1305091 .1355871 -0.96 0.336 -.3962549 .1352367
2007 | -.0117517 .0917541 -0.13 0.898 -.1915866 .1680831
2008 | .0544525 .0590393 0.92 0.356 -.0612624 .1701674
2009 | -.2999764 .3494616 -0.86 0.391 -.9849084 .3849557
2010 | -.1411477 .1266843 -1.11 0.265 -.3894443 .1071488
2011 | .0914906 .0591742 1.55 0.122 -.0244887 .2074698
2012 | .003273 .0605795 0.05 0.957 -.1154607 .1220067
2013 | -.1230197 .1748139 -0.70 0.482 -.4656486 .2196093
2014 | .0185745 .067795 0.27 0.784 -.1143012 .1514502
2015 | 0 (omitted)
|
_cons | -.1252836 .4639153 -0.27 0.787 -1.034541 .7839736
----------------------------+----------------------------------------------------------------
intl |
intratio2_w |
L1. | 4.834204 .3503738 13.80 0.000 4.147484 5.520924
|
siznumfxhedge_w |
L1. | .2002537 .0511131 3.92 0.000 .1000739 .3004336
|
ln_firmage_w |
L1. | .4141059 .0889329 4.66 0.000 .2398006 .5884112
|
ln_at_w |
L1. | .102695 .0317659 3.23 0.001 .0404351 .164955
|
tobinq_w |
L1. | .0066423 .0559791 0.12 0.906 -.1030748 .1163593
|
slack_w |
L1. | .1194309 .2371617 0.50 0.615 -.3453975 .5842593
|
constraint_w |
L1. | -.0130778 .0087029 -1.50 0.133 -.0301351 .0039795
|
entropy_w |
L1. | 2.104377 .3152062 6.68 0.000 1.486584 2.72217
|
ln_tenure_y_w |
L1. | -.2524318 .0708367 -3.56 0.000 -.3912692 -.1135944
|
isfounder_w |
L1. | .151132 .135638 1.11 0.265 -.1147136 .4169775
|
fyear |
1999 | .023452 .385552 0.06 0.951 -.7322161 .7791201
2000 | .0603861 .3656494 0.17 0.869 -.6562735 .7770457
2001 | .4129523 .3549258 1.16 0.245 -.2826895 1.108594
2002 | .5593425 .344546 1.62 0.104 -.1159553 1.23464
2003 | -.2778826 .3745286 -0.74 0.458 -1.011945 .4561799
2004 | .0300237 .3712949 0.08 0.936 -.6977008 .7577483
2005 | .1178042 .3588525 0.33 0.743 -.5855339 .8211422
2006 | -.0076683 .364267 -0.02 0.983 -.7216186 .7062819
2007 | -.3606981 .3688887 -0.98 0.328 -1.083707 .3623105
2008 | -.0865687 .3575869 -0.24 0.809 -.7874262 .6142887
2009 | -.1584412 .3629916 -0.44 0.662 -.8698916 .5530093
2010 | -.0909428 .3651831 -0.25 0.803 -.8066886 .6248029
2011 | -.4961573 .3778998 -1.31 0.189 -1.236827 .2445126
2012 | -.0677228 .3594602 -0.19 0.851 -.7722519 .6368063
2013 | -.5144314 .3728328 -1.38 0.168 -1.24517 .2163074
2014 | -.5559093 .3892982 -1.43 0.153 -1.31892 .2071012
2015 | -.6956374 .4077328 -1.71 0.088 -1.494779 .1035043
2016 | -5.076546 . . . . .
|
_cons | -2.824338 .4026681 -7.01 0.000 -3.613553 -2.035123
----------------------------+----------------------------------------------------------------
/mills |
lambda | .0133232 .0364566 0.37 0.715 -.0581304 .0847768
----------------------------+----------------------------------------------------------------
rho | 0.06670
sigma | .19974236
---------------------------------------------------------------------------------------------
.
end of do-file
My ultimate goal is to plot a graph of the inverted-U shaped findings, and it would be ideal if I could do this in one graph with separate lines showing the original relationship and the interacted relationships.
I have tried many ways including the margins command but I keep hitting the wall due to my inexperience in Stata (I'm currently using Stata 16, if it helps).
In addition, I'm not sure if the usage of the Heckman method should somehow influence how I should plot the graphs.
Thank you very much in advance.
Your help is greatly appreciated.
