Re: st: Regression Discontinuity Design using age + only binary variables

[Guo Xu <digitalepourpre@gmail.com>]

Dear Richard,

In terms of reading, have a look at

Imbens and Lemieux (2007): RD designs: A guide to practice
van der Klaauw (2008): RD analysls: A survey of recent developments in economics

and the chapter in Angrist and PIschke (2008): Mostly Harmless Econometrics

For Stata, there are several procedures, e.g.:
- Nichols: http://ideas.repec.org/c/boc/bocode/s456888.html
- Imbens: http://www.economics.harvard.edu/faculty/imbens/software_imbens

Hope that helps.

Guo


On 25 November 2011 08:12, Richardson <s.richardson@live.co.za> wrote:
> Hello,
>
> 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.
>
>
> --
> View this message in context: http://statalist.1588530.n2.nabble.com/Regression-Discontinuity-Design-using-age-only-binary-variables-tp7030337p7030337.html
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