Agent skill · Data & Analytics

econometrics-r

R-based econometric analysis for academic research. Use when writing R code for panel data, difference-in-differences, instrumental variables, spatial econometrics, or regression analysis. Covers data.table, fixest, sf, modelsummary, and publication-ready outputs.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill econometrics-r --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/14-luischanci-claude-code-research-starter/dot-claude/skills/econometrics-r/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# R Econometrics Skill ## Core Packages ```r library(data.table) # Data manipulation library(fixest) # Fixed effects estimation library(modelsummary) # Regression tables library(ggplot2) # Visualization library(sf) # Spatial data library(here) # Project paths ``` ## Data Manipulation (data.table) ```r # Read and assign dt <- fread(here("data", "raw", "file.csv")) # Common operations dt[, new_var :

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About this skill
What does the econometrics-r skill do?

R-based econometric analysis for academic research. Use when writing R code for panel data, difference-in-differences, instrumental variables, spatial econometrics, or regression analysis. Covers data.table, fixest, sf, modelsummary, and publication-ready outputs.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill econometrics-r --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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