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Dergiler / Ekonomi-tek / 2012 / Cilt: 1 - Sayı: 1

On the Economic Content of the Gini Coefficient

Semih TÜMEN
Sayfa
97–110
Yayın Tarihi
2012-02-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The Gini coefficient increases with the dispersion of skills, the dispersion of productivities, and the labor share.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:This paper argues that the canonical assignment model, which is widely used in the study of wage determination, provides natural links to the standardized tools of inequality analysis, such as the Lorenz curve and the Gini coefficient.
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Temel Bulgular & Veri:I show that an intuitive formula for the Gini coefficient of earnings can be derived using a standard assignment model.
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Sonuç & Katkı:The Gini coefficient increases with the dispersion of skills, the dispersion of productivities, and the labor share.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Gini coefficient · earnings inequality · earnings equation

Özet

This paper argues that the canonical assignment model, which is widely used in the study of wage determination, provides natural links to the standardized tools of inequality analysis, such as the Lorenz curve and the Gini coefficient. I show that an intuitive formula for the Gini coefficient of earnings can be derived using a standard assignment model. Such a model is useful in understanding the potential sources of earnings inequality, since it formulates the Gini coefficient as a function of the dispersion of worker skills, the distribution of firm productivities, and the strength of complementarities in production between capital and labor. The Gini coefficient increases with the dispersion of skills, the dispersion of productivities, and the labor share.

Abstract

This paper argues that the canonical assignment model, which is widely used in the study of wage determination, provides natural links to the standardized tools of inequality analysis, such as the Lorenz curve and the Gini coefficient. I show that an intuitive formula for the Gini coefficient of earnings can be derived using a standard assignment model. Such a model is useful in understanding the potential sources of earnings inequality, since it formulates the Gini coefficient as a function of the dispersion of worker skills, the distribution of firm productivities, and the strength of complementarities in production between capital and labor. The Gini coefficient increases with the dispersion of skills, the dispersion of productivities, and the labor share.

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Bu Makaleye Atıf Yap

TÜMEN, S. (2012). On the Economic Content of the Gini Coefficient. Ekonomi-tek, Cilt: 1 - Sayı: 1, 97–110. https://ajindex.com/articles/753271

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Kaynakça (16)

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