How does it ensure research reproducibility?

It enforces a standardized folder structure, utilizes master do-files, requires seed-setting for random processes, and documents every cleaning and modeling decision in a structured format.

Can I export my results directly to LaTeX or Word?

Yes, the skill uses Stata packages like esttab to generate publication-quality tables that can be easily integrated into academic manuscripts.

Can it handle longitudinal and panel data?

Yes, the skill includes specific techniques for panel data setups, fixed effects (FE) structures, and advanced longitudinal modeling.

Does it support causal identification strategies?

Absolutely. It is designed around 'identification before estimation,' with specific modules for Difference-in-Differences, Instrumental Variables, Matching, and Regression Discontinuity designs.

Does this skill require Stata to be installed?

Yes, for full functionality, the skill expects Stata (MP, SE, or BE) to be installed on your local machine. However, it can still generate .do files for you to run later if Stata is not currently available.

Stata Statistical Analyst

Name: Stata Statistical Analyst
Author: nealcaren

bynealcaren

•

数据科学与机器学习

Guides researchers through rigorous, publication-ready quantitative social science workflows using phased Stata analysis.

The Stata Statistical Analyst skill transforms Claude into an expert research assistant specialized in quantitative sociology and academic social science. It leads users through a systematic, five-phase workflow—starting with research design and causal identification before moving to data cleaning, model specification, and robustness checks. By emphasizing reproducibility and 'identification before estimation,' the skill ensures that all analysis meets the high standards of top-tier journals. It provides specialized code patterns for complex methods like Difference-in-Differences (DiD), Instrumental Variables (IV), and Synthetic Control, while automating the creation of standardized project directories and publication-quality tables.

主要功能

01Phased research workflow from design to publication-ready output

02Support for publication tools like esttab, coefplot, and margins

03Specialized templates for DiD, IV, Matching, and Panel data methods

04Automated folder structure and master do-file organization

05Built-in protocols for robustness checks and sensitivity analysis

069 GitHub stars

使用场景

01Implementing and interpreting complex causal identification strategies

02Building a reproducible replication package for a research project

03Preparing a quantitative sociology manuscript for journal submission

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nealcaren/social-data-analysis stata-analyst

For use in Claude.ai and ChatGPT

Download Skill