Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: Regression Discontinuity Design using age + only binary variables


From   Richardson <[email protected]>
To   [email protected]
Subject   st: Regression Discontinuity Design using age + only binary variables
Date   Fri, 25 Nov 2011 00:12:21 -0800 (PST)

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
Sent from the Statalist mailing list archive at Nabble.com.
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index