Using the GB2 Income Distribution

Duangkamon Chotikapanich, William Griffiths (), Gholamreza Hajargasht (), Wasana Karunarathne and D.S. Prasada Rao ()
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Duangkamon Chotikapanich: Monash Business School, Monash University, Melbourne VIC 3145, Australia
Wasana Karunarathne: Department of Economics, University of Melbourne, Melbourne VIC 3010, Australia

Econometrics, 2018, vol. 6, issue 2, 1-24

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.

Keywords: inequality; poverty; pro-poor growth; GMM estimation (search for similar items in EconPapers)
JEL-codes: B23 C C00 C01 C1 C2 C3 C4 C5 C8 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)

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