Dear Statalisters,
I have a concern about the number of matced observations from my sample. In other words in my research I am looking at listed and unlisted companies on the stock exchange (the editing status is determined by depvar==1 for treated and depvar==0 for untreated) So in my attempt to make the sample comparable I applied several matching methods such as: propensity score matching- pscore ( kernel matching, nearest neighbor matching ) and psmatch2. But I am confused because each of these methods gives me different result for the treated and untreated observations . To be clear I am showing you the detailed results of each method.
Your advice will be very useful to clarify how many observations I have in each group.
Kernel matching method:
Nearest Neighbor method:
Psmatch2:
Please let me know if I need to clarify anything further.
Thank you in advance,
Best wishes
Angeliki
(Stata 16.0 MP)
I have a concern about the number of matced observations from my sample. In other words in my research I am looking at listed and unlisted companies on the stock exchange (the editing status is determined by depvar==1 for treated and depvar==0 for untreated) So in my attempt to make the sample comparable I applied several matching methods such as: propensity score matching- pscore ( kernel matching, nearest neighbor matching ) and psmatch2. But I am confused because each of these methods gives me different result for the treated and untreated observations . To be clear I am showing you the detailed results of each method.
Your advice will be very useful to clarify how many observations I have in each group.
Kernel matching method:
Nearest Neighbor method:
Psmatch2:
Please let me know if I need to clarify anything further.
Thank you in advance,
Best wishes
Angeliki
(Stata 16.0 MP)
