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Concentrated Post-2020 Sigma Widening: Metric Sensitivity and Persistent Income Hierarchies in Cross-Country GDP per Capita Data

Author

Listed:
  • Zhining Wang

    (Institute for Advanced Studies, Universiti Malaya, Kuala Lumpur 50603, Malaysia)

  • Tsolmon Sodnomdavaa

    (Department of Finance and Economics, Mandakh University, Ulaanbaatar 16061, Mongolia)

Abstract

Post-2020 changes in cross-country log GDP per capita dispersion are directionally consistent across macroeconomic data systems but concentrated in a few country trajectories. Using the IMF WEO 1980–2024 baseline, a provisional 2025 extension, and a 167-country WEO–WDI–PWT panel for 2000–2023, the analysis compares sigma, level inequality, weighting, contributions, mobility, and horizon. Sigma rises by 0.018–0.024 across the sources. Paired country-resampling intervals support sign stability, not broad-based widening. The top five contributors account for 60.3–66.9% of the variance increase and the top ten for 86.6–96.3%; positive residuals remain after joint exclusion. The WEO 2020–2024 increase was exceeded by only two of the 36 preceding four-year changes, although sigma in 2024 remained below its 2000 level. Gini and Theil decline or remain approximately flat, while fixed-quartile separation and persistent ranks locate the change within a durable hierarchy. The contribution is an integrated diagnostic of scale, weighting, concentration, persistence, and horizon; it neither measures global interpersonal inequality nor establishes a structural reversal of long-run convergence.

Suggested Citation

  • Zhining Wang & Tsolmon Sodnomdavaa, 2026. "Concentrated Post-2020 Sigma Widening: Metric Sensitivity and Persistent Income Hierarchies in Cross-Country GDP per Capita Data," Economies, MDPI, vol. 14(8), pages 1-24, August.
  • Handle: RePEc:gam:jecomi:v:14:y:2026:i:8:p:348-:d:2016379
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