Series Correlation Analysis
Explore relationships between different indicators, categories, pillars, and datasets using multiple statistical analysis modes.
Analysis Modes
Year-by-Year Cross-Sectional
Examines the correlation within a single year across countries. Use the year slider to see how the relationship evolves over time. Controls for temporal effects but requires sufficient cross-sectional variation.
Lagged First Differences
Analyzes the relationship between changes (Δx, Δy) from year to year. Centered on the origin. Helps identify whether changes in one variable are associated with changes in another, controlling for country-specific fixed effects.
Pooled Correlation
Combines all data points across all years and countries, ignoring temporal structure. Provides a simple overall correlation measure but may be misleading if the relationship changes over time.