Hi, I am running a FE Panel regression. My code looks as follows. I would like to know how I can run marginsplot to graph the interaction between Crisis and the quadratic variable GeoSegLag1Sqd. Thank you so much.

xtreg ROS_NI_win05 LnRev TDTE c.GeoSegLag1##i.Crisis c.GeoSegLag1Sqd##i.Crisis i.Year if Year !=8 & Year !
> =9, fe
note: 19.Year omitted because of collinearity

Fixed-effects (within) regression Number of obs = 3,606
Group variable: Company Number of groups = 481

R-sq: Obs per group:
within = 0.0931 min = 1
between = 0.1441 avg = 7.5
overall = 0.0994 max = 17

F(22,3103) = 14.48
corr(u_i, Xb) = -0.1214 Prob > F = 0.0000

----------------------------------------------------------------------------------------
ROS_NI_win05 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
LnRev | .0633686 .0055241 11.47 0.000 .0525373 .0741999
TDTE | -.0000258 6.04e-06 -4.27 0.000 -.0000376 -.000014
GeoSegLag1 | .0632204 .0640665 0.99 0.324 -.0623966 .1888375
1.Crisis | -.0336558 .0336082 -1.00 0.317 -.0995523 .0322408
|
Crisis#c.GeoSegLag1 |
1 | -.1149112 .0664864 -1.73 0.084 -.245273 .0154506
|
GeoSegLag1Sqd | -.0834435 .0411033 -2.03 0.042 -.1640359 -.002851
|
Crisis#c.GeoSegLag1Sqd |
1 | .0761059 .0440249 1.73 0.084 -.0102149 .1624267
|
Year |
2 | -.0061536 .0670958 -0.09 0.927 -.1377102 .1254031
3 | .040696 .0318427 1.28 0.201 -.0217389 .1031309
4 | .0674057 .0304286 2.22 0.027 .0077435 .127068
5 | .0566512 .0303746 1.87 0.062 -.0029052 .1162076
6 | .06247 .0301485 2.07 0.038 .0033569 .121583
7 | .1562648 .021781 7.17 0.000 .1135582 .1989714
10 | .116791 .0203401 5.74 0.000 .0769097 .1566723
11 | .104613 .0201204 5.20 0.000 .0651623 .1440637
12 | .0848195 .0198493 4.27 0.000 .0459005 .1237386
13 | .0787627 .0198663 3.96 0.000 .0398103 .1177151
14 | .0439599 .0193564 2.27 0.023 .0060073 .0819124
15 | .0128736 .0192094 0.67 0.503 -.0247908 .050538
16 | -.0005675 .0187859 -0.03 0.976 -.0374015 .0362666
17 | .0041892 .0185708 0.23 0.822 -.032223 .0406014
18 | .0114753 .0182558 0.63 0.530 -.0243195 .04727
19 | 0 (omitted)
|
_cons | -.1962245 .0348483 -5.63 0.000 -.2645526 -.1278963
-----------------------+----------------------------------------------------------------
sigma_u | .25069615
sigma_e | .22260268
rho | .55914835 (fraction of variance due to u_i)
----------------------------------------------------------------------------------------
F test that all u_i=0: F(480, 3103) = 6.33 Prob > F = 0.0000

GeoSegLag1Sqd