Interpret Regression Results
SkillSearchWrites academic prose interpreting regression output. Use when describing estimation results in manuscript-ready language.
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/29-quarcs-lab-project20XXy/dot-claude/skills/interpret-results/SKILL.md and read by ahel’s review.
Write academic prose interpreting estimation output, suitable for pasting into index.qmd.
Arguments
$ARGUMENTS— regression output (pasted directly), or a notebook cell reference (e.g., "notebook-02#tbl-main-regression")
Steps
-
Parse the regression output:
- If a notebook cell reference is provided, read that notebook and extract the output from the specified cell
- If output is pasted directly, parse the coefficients, standard errors, significance levels, and fit statistics
-
Identify key elements:
- Dependent variable
- Key independent variable(s) of interest (vs. controls)
- Significance levels and confidence intervals
- R-squared, N, F-statistic
- Fixed effects or clustering used
-
Draft 1–3 paragraphs of academic prose covering:
- Statistical significance: Which coefficients are significant at which levels
- Direction and magnitude: Sign and size of key coefficients, in interpretable units
- Economic significance: What the coefficient means in practical terms (e.g., "a one standard deviation increase in X is associated with a Y% change in the outcome")
- Comparison across specifications: If multiple columns, note how results change with additional controls or FE
- Robustness: Note whether results are stable across specifications
-
Use appropriate academic hedging language:
- "The results suggest..." / "We find evidence consistent with..."
- "The coefficient is statistically significant at the 5% level"
- "The point estimate implies that..."
- Avoid causal language unless the identification strategy supports it
-
Format the output for
index.qmd:- Use Quarto cross-references where appropriate (e.g., "as shown in @tbl-main-regression")
- Include parenthetical references to table columns (e.g., "Column (3)")
- Note: use plain prose for cross-references to embedded content to avoid Quarto crossref warnings
-
Present the draft to the user for review. Do not insert into
index.qmdwithout approval.
Error handling
- If the output format is not recognized, ask the user to clarify which values are coefficients, SEs, and significance indicators.
Signals
- GitHub stars
- 4k
- Forks
- 531
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
interpret-results- Source
- github.com/brycewang-stanford/auto-empirical-research-skills
github.com/brycewang-stanford/auto-empirical-research-skills
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