Calculating indirect effect with three equation problems and multiple covariate models
Posted: Thu Jun 22, 2023 12:42 am
Dear ll
I have estimated a simultaneous equation model with three equations: Divorce, partner violence and mental health problem. Those three variables are assumed to effect one to other. I also required to control some other factors. Therefore, there are multiple endogenous and other control variables in each equation. I would like to know method of calculating indirect effects and total effect of the three problems for each others by considering the other control variables. Can you please help me by illustrating the calculation numerically. My results are looks like the following.
Divorce |
MH | .1383605 .0205992 6.72 0.000
viol-P | -.0021293 .0105074 -0.20 0.839
subsDep | .0566164 .0104723 5.41 0.000
sex | .0654888 .0147056 4.45 0.000 .
y
Yr 3 | -.1577729 .0279903 -5.64 0.000
Yr5 | -.2419001 .0250075 -9.67 0.000
Yr7 | -.2101639 .0275819 -7.62 0.000
|
M1[a0] | 1 (constrained)
|
_cons | .2918363 .0258463 11.29 0.000
-------------------+----------------------------------------------------------------
MH |
Divorce | -.3012425 .0972621 -3.10 0.002
viol_p | .0965405 .062283 1.55 0.121
subDep | -.0150604 .0569064 -0.26 0.791
sex | .744694 .1214614 6.13 0.000 .
Yr3 | .102052 .1305611 0.78 0.434
Yr5 | -.1157641 .1304156 -0.89 0.375
Yr7| .1411749 .1416366 1.00 0.319
|
M2[a0] | 1 (constrained)
|
_cons | .9018816 .1247205 7.23 0.000
-------------------+----------------------------------------------------------------
viol-p |
divorce | -.012705 .0255457 -0.50 0.619
MH| .0071958 .0036755 1.96 0.050 -
subDep | .4454095 .0161066 27.65 0.000
sex | .1164372 .0135699 8.58 0.000
Yr3 | -.2356485 .0329949 -7.14 0.000
yr5 | -.1834915 .0344857 -5.32 0.000
Yr7 | -.1230288 .0351287 -3.50 0.000
|
M3[a0] | 1 (constrained)
|
_cons | .1475 .0265018 5.57 0.000
Thank you in advance.
I have estimated a simultaneous equation model with three equations: Divorce, partner violence and mental health problem. Those three variables are assumed to effect one to other. I also required to control some other factors. Therefore, there are multiple endogenous and other control variables in each equation. I would like to know method of calculating indirect effects and total effect of the three problems for each others by considering the other control variables. Can you please help me by illustrating the calculation numerically. My results are looks like the following.
Divorce |
MH | .1383605 .0205992 6.72 0.000
viol-P | -.0021293 .0105074 -0.20 0.839
subsDep | .0566164 .0104723 5.41 0.000
sex | .0654888 .0147056 4.45 0.000 .
y
Yr 3 | -.1577729 .0279903 -5.64 0.000
Yr5 | -.2419001 .0250075 -9.67 0.000
Yr7 | -.2101639 .0275819 -7.62 0.000
|
M1[a0] | 1 (constrained)
|
_cons | .2918363 .0258463 11.29 0.000
-------------------+----------------------------------------------------------------
MH |
Divorce | -.3012425 .0972621 -3.10 0.002
viol_p | .0965405 .062283 1.55 0.121
subDep | -.0150604 .0569064 -0.26 0.791
sex | .744694 .1214614 6.13 0.000 .
Yr3 | .102052 .1305611 0.78 0.434
Yr5 | -.1157641 .1304156 -0.89 0.375
Yr7| .1411749 .1416366 1.00 0.319
|
M2[a0] | 1 (constrained)
|
_cons | .9018816 .1247205 7.23 0.000
-------------------+----------------------------------------------------------------
viol-p |
divorce | -.012705 .0255457 -0.50 0.619
MH| .0071958 .0036755 1.96 0.050 -
subDep | .4454095 .0161066 27.65 0.000
sex | .1164372 .0135699 8.58 0.000
Yr3 | -.2356485 .0329949 -7.14 0.000
yr5 | -.1834915 .0344857 -5.32 0.000
Yr7 | -.1230288 .0351287 -3.50 0.000
|
M3[a0] | 1 (constrained)
|
_cons | .1475 .0265018 5.57 0.000
Thank you in advance.