Hello,
I have some issues regarding the estimation of counterfactual treatment effects regression for binary outcome variable, food insecurity=1 vs food secured=0 each for male (MHH) and female (FHH) headed families using random effects probit model. My main aim is to analyze food counterfactual food insecurity levels of FHH – reflecting what food insecurity of FHH would be when the returns of the MHH characteristics are swapped into the FHHs
First, model is simplified to run separate probit models each for MHH and FHH families as such:
MHH_Fd_insec=BMHH XMHH + UMHH if MHH=1 for male-headed families
FHH_Fd_insec = BFHH XFHH + UFHH if MHH=0 for female-headed families
I tried the following:
probit fd_insec yrsch_hd age_hd hhsize occp_hd if MHH==0 // presenting the actual estimates for female headed families
probit fd_insec yrsch_hd age_hd hhsize occp_hd if MHH==1 // presenting the actual estimates for male headed families
Please, is there any Stata command that can be used to estimate a counterfactual probit model by interchanging the characteristics of MHH into those of the FHHs?
Your kind help will be highly appreciated.
Ikechukwu