Using the GB2 income distribution: a review

Duangkamon Chotikapanich; William E Griffiths; Gholamreza Hajargasht; Wasana Karunarathne; D S Prasada Rao

doi:10.3390/econometrics6020021

Using the GB2 income distribution: a review

Duangkamon Chotikapanich, William E Griffiths, Gholamreza Hajargasht, Wasana Karunarathne, D S Prasada Rao

Econometrics & Business Statistics

Research output: Contribution to journal › Review Article › Research › peer-review

17 Citations (Scopus)

Abstract

To use the generalized beta distribution of the second kind (GB2) for the analysis of income and other positively skewed distributions, knowledge of estimation methods and the ability to compute quantities of interest from the estimated parameters are required. We review estimation methodology that has appeared in the literature, and summarize expressions for inequality, poverty, and pro-poor growth that can be used to compute these measures from GB2 parameter estimates. An application to data from China and Indonesia is provided.

Original language	English
Article number	21
Number of pages	24
Journal	Econometrics
Volume	6
Issue number	2
DOIs	https://doi.org/10.3390/econometrics6020021
Publication status	Published - Jun 2018

Keywords

inequality
poverty
pro-poor growth
GMM estimation

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10.3390/econometrics6020021

254802234-oaFinal published version, 1.49 MB

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AU - Rao, D S Prasada

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KW - pro-poor growth

KW - GMM estimation

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Using the GB2 income distribution: a review

Abstract

Keywords

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Modelling Income Distributions over Space and Time: 1985-2010

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Using the GB2 income distribution: a review

Abstract

Keywords

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Modelling Income Distributions over Space and Time: 1985-2010

Cite this