skills.rest
zhouziyue233
zhouziyue233COMMUNITY
Explore all skills by this author →
GitHub

results-analysis

Generate descriptive statistics, balance tests, and interpretation memos from empirical analyses.

6|1|Updated Apr 3, 2026
Search Tags:#econometrics#descriptive-statistics#results-analysis#economic-significance#balance-tests#regression-interpretation#publication-memo
One-click install
npx skills add https://github.com/zhouziyue233/great-econometrics --skill results-analysis-zhouziyue233
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: results-analysis
Source: https://github.com/zhouziyue233/great-econometrics/tree/main/skills/results-analysis
Command: npx skills add https://github.com/zhouziyue233/great-econometrics --skill results-analysis-zhouziyue233

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides an integrated workflow to produce publication-quality results from empirical analyses, including descriptive statistics, balance tests, regression interpretation with economic magnitude, and structured results memos.

Core Features & Use Cases

  • Descriptive statistics & EDA: generate Table 1, diagnostic plots, and missing-value reports.
  • Results interpretation: translate coefficients into economic significance, compute effect sizes, and compare with literature.
  • Output generation: produce results memos and exports in LaTeX/CSV formats suitable for manuscript writing.
  • Use Case: after completing data cleaning and estimation, trigger this skill to obtain a ready-to-report results memo and tables.

Quick Start

Run the results-analysis skill after Phase 4 data preparation to generate the descriptive tables, interpretation notes, and a memo ready for inclusion in the manuscript.

Frequently Asked Questions about results-analysis

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

FAQPage Schema
How do I automate generating publication-ready descriptive statistics and balance tests?▼

Automate publication-ready descriptive statistics and balance tests by triggering the analysis workflow after data preparation. It generates formatted Table 1 outputs, diagnostic plots, and missing-value reports suitable for direct manuscript inclusion.

How do I interpret regression coefficients and calculate economic significance for my manuscript?▼

Interpret regression coefficients by translating them into economic significance, computing effect sizes, and comparing magnitudes with existing literature. The workflow generates structured interpretation notes and results memos for manuscript reporting.

Can I generate LaTeX and CSV outputs for econometric results across different identification strategies?▼

Generate LaTeX and CSV outputs across multiple identification strategies including DiD, IV, RDD, and Panel FE. The workflow computes parameter estimates, confidence intervals, and formatted tables for publication-ready reporting.

What is the best way to create a structured results memo from empirical analysis?▼

Create a structured results memo by running the end-to-end analysis workflow after estimation. It compiles descriptive statistics, balance tests, regression interpretations, and robustness check references into a ready-to-report document.

Does this results analysis workflow support robustness checks and literature references?▼

Robustness checks and literature references are supported as optional outputs within the results memo. The workflow applies during EDA, regression interpretation, and reporting phases to satisfy parameter extraction and effect size computation requirements.

When should I run the results analysis workflow in my empirical research pipeline?▼

Run the results analysis workflow after completing Phase 4 data preparation and estimation. It automates the transition from raw econometric outputs to publication-ready tables, interpretation memos, and formatted LaTeX or CSV exports.

Related Skills

Explore More Data & Analytics Skills→
HaipingXuHaipingXu
21

data-analysis

Perform end-to-end social science data analysis with Python and Stata.

Community
Advanced
ARAVINDAN20ARAVINDAN20
4

table-generation

Convert JSON/CSV experimental results into publication-ready LaTeX tables.

Community
Intermediate
obinopaulobinopaul
2

exploratory-data-analysis

Load CSV data, assess missing values, compute statistics, and generate visualizations.

Community
Intermediate
yangqiongyangqiong

Statistical Analysis Skill

Perform statistical analyses on datasets using pandas, numpy, scipy, scikit-learn, and seaborn.

Community
Intermediate