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Modelling Income Distributions with Limited Data

In: Advances in Economic Measurement

Author

Listed:
  • Duangkamon Chotikapanich

    (Monash University)

  • William Griffiths

    (University of Melbourne)

  • Gholamreza Hajargasht

    (University of Queensland)

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.

Suggested Citation

  • Duangkamon Chotikapanich & William Griffiths & Gholamreza Hajargasht, 2022. "Modelling Income Distributions with Limited Data," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 233-263, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-2023-3_5
    DOI: 10.1007/978-981-19-2023-3_5
    as

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