Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/195459
Authors: 
Chotikapanich, Duangkamon
Griffiths, William E.
Hajargasht, Gholamreza
Karunarathne, Wasana
Rao, D. S. Prasada
Year of Publication: 
2018
Citation: 
[Journal:] Econometrics [ISSN:] 2225-1146 [Volume:] 6 [Year:] 2018 [Issue:] 2 [Pages:] 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.
Subjects: 
inequality
poverty
pro-poor growth
GMM estimation
JEL: 
I32
O15
C13
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/4.0/
Document Type: 
Article
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