Dear Statalist,
I am trying to model medical use of patients following an intervention. My data is discharge-level inpatient data 2000-2005 with patient identifier. In addition to estimating the effect of the policy intervention on medical usage, I want to test whether it affects both intensive margin (number of doctor's visits by patients with a medical history) and extensive margin (total number of patients).
How do I model/code to distinguish between intensive vs extensive margins? The following is what I, as a beginner, would come up:
Thank you!
Regards,
Paul
I am trying to model medical use of patients following an intervention. My data is discharge-level inpatient data 2000-2005 with patient identifier. In addition to estimating the effect of the policy intervention on medical usage, I want to test whether it affects both intensive margin (number of doctor's visits by patients with a medical history) and extensive margin (total number of patients).
How do I model/code to distinguish between intensive vs extensive margins? The following is what I, as a beginner, would come up:
- For intensive margin: Can this be done simply by a regression of the number of visits on a set of covariates including the treatment dummy, among the sample of patients with previous medical history?
- For extensive margin: Make a usage dummy for each patient in each year that equals 1 if she visits a doctor, and 0 if not. And regress the binary usage dummy on the set of covariates including the treatment dummy.
Thank you!
Regards,
Paul
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