Does anyone have any advice on implementing Kroger and Hartmann's (August 25, 2021) interventionist approach from page 31 in their recent paper
. I am trying to apply this to an RCT trial, which should be an obvious use of two types of interventions (treatment and control), but my issue is this:
Specifically, for any particular time and group, an individual only falls in the treatment pile, or the control pile, not both. Thus rendering me zero observations when I try to implement the code on page 31. If I collapse the code over groups, so there is a treatment and control value for each group, for each time period, then I run into the issue of collinearity as I run the model, and it again fails.
Does anyone have a suggestion of a variation of code for a situation such as this? Or any code suggestion for panel data for oaxaca-blinder decomp?
Many thanks.
xtoaxaca - Extending the Kitagawa-Oaxaca-Blinder Decomposition Approach to Panel Data
Specifically, for any particular time and group, an individual only falls in the treatment pile, or the control pile, not both. Thus rendering me zero observations when I try to implement the code on page 31. If I collapse the code over groups, so there is a treatment and control value for each group, for each time period, then I run into the issue of collinearity as I run the model, and it again fails.
Does anyone have a suggestion of a variation of code for a situation such as this? Or any code suggestion for panel data for oaxaca-blinder decomp?
Many thanks.
