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Use stata-regression to run a Stata regression for [dataset, dependent variable, and regressors] using [controls, fixed effects, and clustering], and export a publication-ready [table format] with diagnostics and recommended robustness checks.
Required inputs
[dataset, dependent variable, and regressors]
[controls, fixed effects, and clustering]
[table format]
User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗
SKILL.md
name: stata-regressiondescription: Run regression analyses in Stata with publication-ready output tables.workflow_stage: analysiscompatibility: - claude-code - cursor - codex - gemini-cliauthor: Awesome Econ AI Communityversion: 1.0.0tags: - stata - regression - esttab - econometrics
Stata Regression
Purpose
This skill produces reproducible regression analysis workflows in Stata, including model diagnostics and publication-ready tables using esttab or outreg2.
When to Use
Estimating linear or nonlinear regression models in Stata
Producing tables for academic papers and reports
Running robustness checks and alternative specifications
Instructions
Follow these steps to complete the task:
Step 1: Understand the Context
Before generating any code, ask the user:
What is the dependent variable and key regressors?
What controls and fixed effects are required?
How should standard errors be clustered?
What output format is needed (LaTeX, Word, or CSV)?
Step 2: Generate the Output
Based on the context, generate Stata code that:
Loads and checks the data - Handle missing values and verify variable types
Runs the requested specification - Use regress, reghdfe, or xtreg as appropriate
Adds robust or clustered standard errors - Match the study design
Exports tables - Use esttab or outreg2 with clear labels
Step 3: Verify and Explain
After generating output:
Explain what each model estimates
Highlight assumptions and diagnostics
Suggest robustness checks or alternative models
Example Prompts
"Run OLS with firm and year fixed effects, clustering by firm"
"Estimate a logit model and export results to LaTeX"
"Create a regression table with three specifications"
Example Output
* ============================================
* Regression Analysis with Stata
* ============================================
* Load data
use "data.dta", clear
* Summary stats
summarize y x1 x2 x3
* Main regression with clustered SEs
regress y x1 x2 x3, vce(cluster firm_id)
eststo model1
* Alternative specification with fixed effects
reghdfe y x1 x2 x3, absorb(firm_id year) vce(cluster firm_id)
eststo model2
* Export table
esttab model1 model2 using "results/regression_table.tex", replace se label
Requirements
Software
Stata 17+
Packages
estout (for esttab)
reghdfe (optional, for high-dimensional fixed effects)
Install with:
ssc install estout
ssc install reghdfe
Best Practices
Match standard errors to the design (cluster where treatment varies)
Report all model variants used in the analysis
Document variable definitions and transformations
Common Pitfalls
Not clustering standard errors at the correct level
Omitting fixed effects when required by the design