Dear STATA specialists,
I am using a pooled cross-section data, including 6 years of household information since these households are the same over this 6 years.
I would like to estimate a difference-in-difference model with IV in which the binary outcome is the risk of catastrophic health expenditures (0 or 1)
[ivprobit CHE treatment i.time i.treat_time ( exg var = IV1 IV2 IV3 IV4) twostep ]
[/margins, dydx(treat_time)]
The results for margin for interaction term is :
--------------------------------------------------------------------------------
| Delta-method
| dy/dx std. err. z P>|z| [95% conf. interval]
---------------+----------------------------------------------------------------
1.treat_time | -.1748487 .0575814 -3.04 0.002 -.2877062 -.0619912
--------------------------------------------------------------------------------
I expected the policy increased the risk of CHE that is catastrophic health expenditures for the treatment group (those who have no insurance). but here the margin is negative for the interaction term.
Q1- I was wondering if I should use two-step because I had more than one IV- Is it correct or I should use "ml"
Q2- How I can interpret the margin for interaction term? I expected that the policy increased the risk of catastrophic health expenditures (CHE) for those who have no health insurance(treatment group) - but here the margin shows 17 percent less likely treatment would face with CHE- this is correct?
Thank you in advance for your advice.
I am using a pooled cross-section data, including 6 years of household information since these households are the same over this 6 years.
I would like to estimate a difference-in-difference model with IV in which the binary outcome is the risk of catastrophic health expenditures (0 or 1)
[ivprobit CHE treatment i.time i.treat_time ( exg var = IV1 IV2 IV3 IV4) twostep ]
[/margins, dydx(treat_time)]
The results for margin for interaction term is :
--------------------------------------------------------------------------------
| Delta-method
| dy/dx std. err. z P>|z| [95% conf. interval]
---------------+----------------------------------------------------------------
1.treat_time | -.1748487 .0575814 -3.04 0.002 -.2877062 -.0619912
--------------------------------------------------------------------------------
I expected the policy increased the risk of CHE that is catastrophic health expenditures for the treatment group (those who have no insurance). but here the margin is negative for the interaction term.
Q1- I was wondering if I should use two-step because I had more than one IV- Is it correct or I should use "ml"
Q2- How I can interpret the margin for interaction term? I expected that the policy increased the risk of catastrophic health expenditures (CHE) for those who have no health insurance(treatment group) - but here the margin shows 17 percent less likely treatment would face with CHE- this is correct?
Thank you in advance for your advice.
