I have a dataset containing treatment and control firms. Each firm belongs to a technology class defined in patentclass and innovation output of each firm is defined in patents which is a count data.
I want to match the control firms with treatment firms based on two criteria:
1) both treatment and control firm should be in the same patentclass
2) Control firms should have the same innovation output level based on patents. But I don't want to limit the match based on rage, I want to match with the firm with the closest match of patents
I can think of the following code but not sure how to include that restriction of closest match in patent matching.:
cem patentclass(#0) patent, treatment(treatment)
Any help is appreciated.
thanks
Related Posts with Coarsened Exact Matching (CEM)
keeping the last observation onlyI have different individuals and want to keep the last observation only. any commands? …
SUR Estimation - Equation residualsHi, I need to extract equationwise error terms of components of my SUR estimation. However by using…
Why generating the variable in logarithm form change the sign of correlation and scatterplot?Hello, first of all I apologize for this simple question. I try to do some tests to find a relations…
Two way hbarHi everyone, I would like to ask if it is possible to produce the graph below using hbar command. I…
Matching across three groups of a dependent variableMy glucose measure has three groups low glucose, normal glucose levels and high glucose levels. I ha…
Subscribe to:
Post Comments (Atom)
0 Response to Coarsened Exact Matching (CEM)
Post a Comment