<p>I've run RDDs on similar sample sizes and got the paper accepted at a respectable conference. It's important to run McCrary Density Tests on your sample to look for people using knowledge on the treatment assignment rule to manipulate results and - even more important - to have a clear identification strategy, a qualitative justification for what you're doing.</p>

CC BY-SA 4.0
2018-10-04T21:49:52.353Z
2018-10-04T21:49:52.353Z
Pedro Cavalcante
<p>I haven't done a regression discontinuity design (RDD) before. I know it requires a large sample size for identification, thus I fear that my sample size is not large enough.</p>

<p>The study is cross-sectional, not longitudinal.
Entire sample size is around 1000, and the sample size around the cutoff point is around 100.</p>

<p>Is it enough for a cross-sectional fuzzy RDD?</p>

<p>What is the "minimum" sample size and "good-enough" sample size for cross-sectional fuzzy (sharp) RDD?</p>

<applied-econometrics><empirical-methods><identification>
Minimum sample size for cross-sectional RDD
Yu Wang Dolby
# Minimum sample size for cross-sectional RDD

(Asked by: username_0 on 2018-10-04)

I haven't done a regression discontinuity design (RDD) before. I know it requires a large sample size for identification, thus I fear that my sample size is not large enough.

The study is cross-sectional, not longitudinal.
Entire sample size is around 1000, and the sample size around the cutoff point is around 100.

Is it enough for a cross-sectional fuzzy RDD?

What is the "minimum" sample size and "good-enough" sample size for cross-sectional fuzzy (sharp) RDD?

**Tags:** applied-econometrics, empirical-methods, identification

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## 1 answers

### Answer by username_1 on 2018-10-04. Score: 1

I've run RDDs on similar sample sizes and got the paper accepted at a respectable conference. It's important to run McCrary Density Tests on your sample to look for people using knowledge on the treatment assignment rule to manipulate results and - even more important - to have a clear identification strategy, a qualitative justification for what you're doing.


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