Hi All,
I have used propensity score, and then kernel matcning with outcome variable Life Satisfaction (measured on a scale 1-10) and treatmant (Wave) (binary variable 0,1)
Can you recommend the most suitable sensitivity check after matching? Because Stata help says that -mhbounds- suits when both treatment and the independent variables are binary. Also, is says that -rbound- works only at 1-1 matching and I have used Kernel matching.
Many thanks,
Mirjana
I have used propensity score, and then kernel matcning with outcome variable Life Satisfaction (measured on a scale 1-10) and treatmant (Wave) (binary variable 0,1)
Can you recommend the most suitable sensitivity check after matching? Because Stata help says that -mhbounds- suits when both treatment and the independent variables are binary. Also, is says that -rbound- works only at 1-1 matching and I have used Kernel matching.
Many thanks,
Mirjana
