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stata-analyst

Automate phased Stata analyses for publication-ready sociological research.

76|9|Updated Jan 17, 2026
Search Tags:#robustness#statistics#reproducibility#stata#event-study#panel-data#DiD
One-click install
npx skills add https://github.com/nealcaren/social-data-analysis --skill stata-analyst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stata-analyst
Source: https://github.com/nealcaren/social-data-analysis/tree/main/plugins/stata-analyst/skills/stata-analyst
Command: npx skills add https://github.com/nealcaren/social-data-analysis --skill stata-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured, phased approach to conducting rigorous Stata analyses for publication, ensuring design-first thinking, reproducibility, and robust inference in sociology research.

Core Features & Use Cases

  • Phased workflows: guides through Phase 0 design, Phase 1 data familiarization, Phase 2 specification, Phase 3 main analysis, Phase 4 robustness, and Phase 5 output.
  • Method breadth: covers Difference-in-Differences (TWFE and staggered timing), event studies, IV, matching, panel data, and synthetic control patterns.
  • Reproducibility and reporting: emphasizes master scripts, log-keeping, and publication-ready outputs.
  • Use Case: a researcher implementing a DiD study with unit and year FE can follow the staged protocol to ensure credible results.

Quick Start

Initiate Phase 0 design only after the user confirms the research design.

Frequently Asked Questions about stata-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure a reproducible Stata workflow for Difference-in-Differences research?▼

A reproducible Stata workflow for Difference-in-Differences follows phased stages from design to output, guiding model specification, clustering choices, and log-keeping for publication-ready results.

What is the best way to handle staggered timing in event study designs using Stata?▼

Handling staggered timing in event study designs requires a structured specification phase to choose appropriate model parameters, ensuring robust inference and clear reporting for publishable research.

Can I use this approach for panel data and instrumental variable methods?▼

Yes, this approach supports panel data, instrumental variables, matching, and synthetic control patterns by applying design-first thinking to model specification across diverse datasets.

How do I ensure robustness when running TWFE regression models?▼

Ensuring robustness for TWFE regression models involves a dedicated robustness phase that evaluates specification choices, clustering, and output formatting to produce credible sociological research.

Do I need to finalize my research design before starting the Stata analysis phases?▼

Yes, you must finalize your research design first, as the structured Stata analysis initiates Phase 0 design only after the user confirms the research design parameters.

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