ReproducibleDocumented seeds, editable source, and exported results.
DynamicTables, figures, and reporting text update with the analysis.
Clear boundariesAssumptions and limitations accompany the methods.

WHAT IS INSIDE

Four designs. Explicit assumptions. Reproducible results.

Run the worked example, review its diagnostics, then adapt the settings and models to your research design.

01

Weighting and overlap

Estimate the average treatment effect with propensity-score weights, covariate-balance checks, and a bootstrap that refits the propensity model.

02

Difference-in-differences

Analyze a common-date rollout with firm and year fixed effects, firm-clustered intervals, an event study, and careful pretrend interpretation.

03

Instrumental variables

Fit two-stage least squares for a randomized encouragement design. Review the first stage, exclusion assumptions, and a finite-grid weak-instrument sensitivity check.

04

Regression discontinuity

Study a sharp grant cutoff with local-linear estimation, robust bias-corrected inference, and bandwidth sensitivity.

DESIGNED FOR BUSINESS RESEARCH

Know the question.
Choose the method.

This workflow is useful for:

  • Business PhD and DBA researchers investigating treatment effects.
  • Researchers who need to distinguish ATE, ATT, LATE, and a local cutoff effect.
  • R users with a working understanding of regression and confidence intervals.

These are separate worked designs, not interchangeable estimators. Staggered adoption, fuzzy RD, formal density tests, spillovers, and few-cluster extensions are outside this release. No template can establish the identifying assumptions for your real study.

PUBLIC PREVIEW

Explore the complete worked example.

Open full screen ↗
Output-only public preview

The preview shows results, figures, and interpretation. The paid version includes all editable R Markdown source, reusable functions, and analysis code. Source code and session information are omitted from the public preview.

YOUR DIGITAL DOWNLOAD

Start with the example.
Make it your own.

Download and unzip the complete package, read START HERE.md, then run the synthetic example before changing the settings. Basic R and regression knowledge are required.

  • Complete R Markdown source and reusable R helpers
  • Synthetic CSV inputs and data dictionary
  • Worked HTML report, figures, and result tables
  • Dynamic interpretation and reporting checklist
  • Setup instructions, simulation documentation, and validation checks
  • Version 1.0 individual-use license

Package installation requires internet access. No proprietary datasets, database subscriptions, or individual consulting services are included.

COMPLETE EDITABLE WORKFLOW

Build on a worked example.
$59 one time.

Secure checkout and file delivery through Lemon Squeezy. After purchase, access the ZIP from your order confirmation or receipt.

Purchase for $59 →Review purchase terms →