<p>This paper:<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2712957" rel="nofollow noreferrer">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2712957</a></p>

<p>Is exactly what you need. </p>

CC BY-SA 3.0
2017-04-08T17:36:22.803Z
2017-04-08T17:36:22.803Z
123
<p>I am trying to study the effects of a policy on educational attainment of individuals (years of schooling, primary/secondary school completion, literacy). Since the policy starts in a specific year I decided to use an RDD using birth year as running variable. </p>

<p>The problem is that my sample is made of 5 different countries in which the policy has been implemented in 5 different years. 
Am I able to pool the effect of the policy across countries?</p>

<p>Because if I build a unique running variable as being 0 for each cutoff year I get individuals born in e.g. 1994 having running variable both 0, -2, +3 depending on the country of origin.</p>

<p>How can I deal with this issue? Should I run a RD for each country alone?</p>

CC BY-SA 3.0
2017-04-08T17:34:19.263Z
You could consider generalized dif-in-dif also
123
<microeconomics><regression><experimental-economics>
RDD with multiple cutoffs
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# RDD with multiple cutoffs

(Asked by: username_0 on 2017-04-08)

I am trying to study the effects of a policy on educational attainment of individuals (years of schooling, primary/secondary school completion, literacy). Since the policy starts in a specific year I decided to use an RDD using birth year as running variable.

The problem is that my sample is made of 5 different countries in which the policy has been implemented in 5 different years.
Am I able to pool the effect of the policy across countries?

Because if I build a unique running variable as being 0 for each cutoff year I get individuals born in e.g. 1994 having running variable both 0, -2, +3 depending on the country of origin.

How can I deal with this issue? Should I run a RD for each country alone?

**Tags:** microeconomics, regression, experimental-economics

> **Comments:**
> **username_1**: You could consider generalized dif-in-dif also  

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## 1 answers

### Answer by username_1 on 2017-04-08. Score: 3 | Accepted answer

This paper:<https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2712957>

Is exactly what you need.


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