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The Distribution of Personal Income: Revisited

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  • McDonald, James B
  • Mantrala, Anand

Abstract

In a recent paper, Majumder and Chakravarty (1990) propose a four-parameter model which they find provides a better fit to some income data than the lognormal, gamma, Singh-Maddala, Dagum, and generalized beta of the second kind (GB2) distributions. This note (1) demonstrates that the model proposed by Majumder and Chakravarty is a reparameterization of the GB2 and (2) reconciles the corresponding contradictory empirical findings reported by Majumder and Chakravarty. Copyright 1995 by John Wiley & Sons, Ltd.

Suggested Citation

  • McDonald, James B & Mantrala, Anand, 1995. "The Distribution of Personal Income: Revisited," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 201-204, April-Jun.
  • Handle: RePEc:jae:japmet:v:10:y:1995:i:2:p:201-04
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    Cited by:

    1. Christian Kleiber, 2008. "A Guide to the Dagum Distributions," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 6, pages 97-117, Springer.
    2. John Dagsvik & Zhiyang Jia & Bjørn Vatne & Weizhen Zhu, 2013. "Is the Pareto–Lévy law a good representation of income distributions?," Empirical Economics, Springer, vol. 44(2), pages 719-737, April.
    3. Vladimir Hlasny, 2021. "Parametric representation of the top of income distributions: Options, historical evidence, and model selection," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
    4. Dorothée Boccanfuso & Bernard Decaluwé & Luc Savard, 2003. "Poverty, Income Distribution and CGE Modeling: Does the Functional Form of Distribution Matter?," Cahiers de recherche 0332, CIRPEE.
    5. Thomas Groll & Peter J. Lambert, 2013. "The Pro-Poorness, Growth and Inequality Nexus: Some Findings From a Simulation Study," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(4), pages 776-784, December.
    6. Partha Deb & James F. Burgess, Jr., 2003. "A Quasi-experimental Comparison of Econometric Models for Health Care Expenditures," Economics Working Paper Archive at Hunter College 212, Hunter College Department of Economics.
    7. Harttgen, Kenneth & Klasen, Stephan, 2012. "A Household-Based Human Development Index," World Development, Elsevier, vol. 40(5), pages 878-899.
    8. Vanesa Jorda & José María Sarabia & Markus Jäntti, 2021. "Inequality measurement with grouped data: Parametric and non‐parametric methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 964-984, July.
    9. Sung Y. Park & Anil K. Bera, 2018. "Information theoretic approaches to income density estimation with an application to the U.S. income data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 461-486, December.
    10. Jayasri Dutta & J. A. Sefton & M. R. WEALE, 2001. "Income distribution and income dynamics in the United Kingdom," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 599-617.
    11. Feng Zhu, 2005. "A nonparametric analysis of the shape dynamics of the US personal income distribution: 1962-2000," BIS Working Papers 184, Bank for International Settlements.
    12. Sarabia, José María & Jordá, Vanesa, 2014. "Explicit expressions of the Pietra index for the generalized function for the size distribution of income," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 582-595.
    13. Kazuhiko Kakamu & Haruhisa Nishino, 2019. "Bayesian Estimation of Beta-type Distribution Parameters Based on Grouped Data," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 625-645, August.
    14. Kleiber, Christian, 1996. "Dagum vs. Singh-Maddala income distributions," Economics Letters, Elsevier, vol. 53(3), pages 265-268, December.
    15. Jordá, Vanesa & Niño-Zarazúa, Miguel, 2019. "Global inequality: How large is the effect of top incomes?," World Development, Elsevier, vol. 123(C), pages 1-1.
    16. Kazuhiko Kakamu, 2016. "Simulation Studies Comparing Dagum and Singh–Maddala Income Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 593-605, December.
    17. Kazuhiko Kakamu & Haruhisa Nishino, 2016. "Bayesian Estimation Of Beta-Type Distribution Parameters Based On Grouped Data," Discussion Papers 2016-08, Kobe University, Graduate School of Business Administration.
    18. M. Grazia Pittau & Roberto Zelli, 2001. "Income distribution in Italy: A nonparametric analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 10(1), pages 175-189, January.
    19. Christophe Muller, 2001. "The Properties of the Watts Poverty Index under Lognormality," Economics Bulletin, AccessEcon, vol. 9(1), pages 1-9.
    20. Gustavo De Santis & Giambattista Salinari, 2008. "On the Evolution of Household Income," LIS Working papers 488, LIS Cross-National Data Center in Luxembourg.
    21. Nicholas Rohde & Kam Ki Tang & Prasada Rao, 2011. "Income volatility and insecurity in the U.S., Germany and Britain," Discussion Papers Series 434, School of Economics, University of Queensland, Australia.

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