Simulation Results for Generalized Gamma Distribution Inequality Measures

Simulation results evaluating a parameter estimation method for the generalized gamma distribution using grouped data. The dataset is 13.5 KB in size, authored by Emrah Altun, and was last updated on May 19, 2026. It supports analysis of US income data for three different years.

Use Cases

• Evaluating the performance of a minimum distance estimator based on Kullback-Leibler divergence for grouped data.
• Analyzing income inequality using the Gini, Theil, Atkinson, and Pietra indexes.
• Testing the generalized gamma distribution as a model for economic data.
• Reproducing simulation studies from the associated research.

Strengths

• Includes results for four established inequality measures: Gini, Theil, Atkinson, and Pietra.
• Dataset is openly available under a CC-BY-4.0 license.
• Associated with a developed web-tool (GGIneq) for practical application.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 13.5 KB file size suggests a very limited scope of simulation results.

Provenance

Source

Emrah Altun via figshare.

Collection Method

Generated via a constructed simulation study.

Time Range

Covers three unspecified years of US income data.

Freshness

Last updated 2026-05-19 17:37:46; freshness should be verified.

Geography

United States.