Skip to content

From the author

STATA code pattern library for empirical archival accounting research. Provides tested syntax from 126 peer-reviewed JAR (Journal of Accounting Research) replication files (2017-2025). Use when the user asks procedural questions like "How do I implement [method]?" or "Show me code for [technique]" — including: entropy balancing, propensity score matching (PSM), difference-in-differences (DiD), regression discontinuity (RDD), instrumental variables (IV), event studies (CAR/BHAR), survival analysis, Fama-MacBeth regressions, bootstrap, quantile regression, reghdfe/xtreg/areg, clustering standard errors, fixed effects, esttab/outreg2 table formatting, winsorization, leads/lags. Users can specify their variables (e.g., treatment, outcomes, controls) and receive adapted syntax. NOTE: This skill provides code patterns from published papers, not research design advice.

Install

npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-accounting-research -a claude-code

Installs to .claude/skills/stata-accounting-research/ · Each command fetches the skill straight from GitHub with the open skills CLI.

No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.

Want your agent to suggest skills while you type? See how to use skills from your IDE.

Safety checks on SKILL.md

No warnings.

Why 85

Security100
Provenance84
Maintenance100
Licence45
Adoption58

aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.

Similar skills

From the same category, best-trusted first. This skill is not indexed for matching yet, so these are its neighbours by category.

Ratings & reviews

—

no reviews

Tried this skill? Rate it to help others. Sign in

    Discussion

    Join the discussion. Sign in