Modelling Income Distributions with Limited Data

Duangkamon Chotikapanich, William Griffiths () and Gholamreza Hajargasht
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Duangkamon Chotikapanich: Monash University
William Griffiths: University of Melbourne
Gholamreza Hajargasht: University of Queensland

Chapter Chapter 5 in Advances in Economic Measurement, 2022, pp 233-263 from Springer

Abstract: Abstract Minimum distance and maximum likelihood methods for estimating parametric income distributions from grouped data are summarized. Formulas for computing inequality and poverty measures from the parameters of the income distributions are presented. The paper is a convenient source for applied researchers wishing to estimate inequality and poverty from grouped data.

Keywords: Grouped data; Minimum distance estimators; Lognormal distribution; Pareto-lognormal distribution; C13; C16; D31 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-2023-3_5

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DOI: 10.1007/978-981-19-2023-3_5

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