I am trying to understand the type of data I have to do a DiD analysis. I am evaluating a new policy aimed at decreasing the rate of elderly illness for those undergoing heart surgery in hospitals. The intervention is deployed in all urban region hospitals in the country on the 1st of March 2018. This data is on weekly illness rates for the elderly from March 2016 till March 2019. Then I have a collection of similar data from the rural region hospitals. Again it is weekly data on illness rates for the elderly between March 2016 and March 2019. I want to apply a DiD design to this.
I am trying to wrap my head around this, does this then mean I have cross-sectional data or panel data? I am trying to relate this to the potential outcomes framework.
One group that receives treatment which is the elderly in the urban hospitals. Then the control group are not subject to the intervention. This will be the elderly in rural hospitals. So I thought this meant I have repeated cross-section data as different individuals are observed in each group at each point in time. Am I correct? Also would this then be the 2x 2 DiD model?
I am trying to wrap my head around this, does this then mean I have cross-sectional data or panel data? I am trying to relate this to the potential outcomes framework.
One group that receives treatment which is the elderly in the urban hospitals. Then the control group are not subject to the intervention. This will be the elderly in rural hospitals. So I thought this meant I have repeated cross-section data as different individuals are observed in each group at each point in time. Am I correct? Also would this then be the 2x 2 DiD model?
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