Regression-Discontinuity Design - Institute for Policy Research
Regression-Discontinuity Design - Institute for Policy Research
Regression-Discontinuity Design - Institute for Policy Research
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Interpretation of Treatment Effects <strong>for</strong><br />
Sharp RD <strong>Design</strong>s<br />
• Treatment effect is<br />
interpreted as the average<br />
treatment effect at the<br />
cutoff ( s ).<br />
• This is in contrast to what<br />
is usually estimated by the<br />
RE, which is the average<br />
treatment effect ( ATE ).<br />
• Without further<br />
assumptions about<br />
functional <strong>for</strong>m, s<br />
generalizes only to this<br />
cutoff point on this<br />
assignment variable.<br />
• Cutoff may or may not be<br />
of policy or practical<br />
relevance.<br />
Treatment effects <strong>for</strong> RDD vs. RE<br />
RD data from Shadish et al. (2011)