vdem-analysis
CommunityMeasure democracy and test institutional change
Education & Research#comparative politics#institutional quality#panel regression#v-dem#democracy index#backsliding detection#python data analysis
Authorxjtulyc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill turns large V-Dem democracy datasets into measurable democratic indices, identifies democratic backsliding episodes, and enables panel regression analyses linking institutional quality to economic outcomes.
Core Features & Use Cases
- V-Dem data loading at scale: Efficiently loads the V-Dem Country-Year CSV using selective columns and chunked reading, with optional year and country filtering.
- Backsliding detection: Flags country-years where a democracy index declines by a configurable threshold over a rolling window and ranks episodes by severity.
- Publication-ready visualization: Produces democracy trend plots for selected countries and regional comparison plots (e.g., distribution by region for a given year).
- Panel regression pipeline: Runs Fixed Effects, Random Effects, or Pooled OLS models with clustered standard errors and optional log transformation of key predictors (e.g., GDP per capita).
- Use case: Assess whether within-country changes in economic development (GDP per capita) are associated with changes in liberal democracy over time while also auditing where and when backsliding occurs.
Quick Start
Use the V-Dem Country-Year Core CSV to compute backsliding episodes and run a fixed-effects panel regression of liberal democracy on (log) GDP per capita for your chosen year range and countries.
Dependency Matrix
Required Modules
pandasnumpymatplotlibseabornlinearmodelsscipystatsmodelsrequests
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: vdem-analysis Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#vdem-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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