Hi,
I want to conduct Propensity Score Matching to create a control group. I do not want to use the propensity score matching for further calculations, but just forming the sample (observations and control group) since I will use additional other independent variables.
Therefore, I'd like to ask you for advise on which of the different PSM commands (psmatch2, teffects psmatch, kmatch) to use.
Additional information are:
- I want to create 2 control groups: 1. Size (SIZE) and industry (SIC) 2. On Size (SIZE), industry (SIC) and book-to-market (BTM)
- My treatment variable is deal (deal) which is 1 if the observation describes a deal and 0 otherwise
- Year (Year) and industry (SIC (2-digit SIC code)) should be exact matches
- I need 5 control firms for each firms in the initial sample (initial = only the deals (deal =1))
- Preferably, I'd want to use the no replace option
I hope these are sufficient information.
Best,
Sebastian
I want to conduct Propensity Score Matching to create a control group. I do not want to use the propensity score matching for further calculations, but just forming the sample (observations and control group) since I will use additional other independent variables.
Therefore, I'd like to ask you for advise on which of the different PSM commands (psmatch2, teffects psmatch, kmatch) to use.
Additional information are:
- I want to create 2 control groups: 1. Size (SIZE) and industry (SIC) 2. On Size (SIZE), industry (SIC) and book-to-market (BTM)
- My treatment variable is deal (deal) which is 1 if the observation describes a deal and 0 otherwise
- Year (Year) and industry (SIC (2-digit SIC code)) should be exact matches
- I need 5 control firms for each firms in the initial sample (initial = only the deals (deal =1))
- Preferably, I'd want to use the no replace option
I hope these are sufficient information.
Best,
Sebastian
