Regression Discontinuity Design using age + only binary variables
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I'm analysing the treatment effect of a new policy which was introduced which entitled children under age 10 to receive free health care. I'm observing the effect this had on private health insurance subscription take-up in children under age 10 vs children over age 10. It would seem that employing a regression discontinuity design would be appropriate given the cut-off point and jump in the data. All of the available data is binary (0's or 1's) except for age.
How would I estimate the treatment effect using an RDD assuming Sharp RD holds and then taking into account endogeneity and employing a Fuzzy RD approach?
How can this be approached in Stata without overcomplicating the analysis.