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Running regression discontinuity analysis...
Sent to — interactive charts, statistical results, R code, and AI insights.
Analyze another fileStandard-library analysis: did crossing the threshold cause the change? Map the outcome and the running variable a cutoff rule is applied to — an exam score, a revenue band, an eligibility index, a queue position — and get the sharp regression discontinuity estimate: local linear regression with a triangular kernel on each side of the cutoff at a data-driven bandwidth, the discontinuity with a robust 95% confidence interval, the scatter of outcome against the running variable with binned means and both fitted lines, the effective sample size actually near the cutoff, and the three diagnostics that decide whether the design is credible — a McCrary-style manipulation test, covariate balance at the cutoff, and bandwidth sensitivity.
Interactive scatter visualization
Interactive table visualization
Interactive table visualization
Interactive table visualization
Interactive scatter visualization
Interactive table visualization
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Measure the effect of an eligibility rule — a scholarship, a discount tier, a benefit threshold — on what happened next
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data — validated R analyses, interactive reports, AI insights, and PDF export.
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