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The influence of macroeconomic factors on personal income distribution in developing countries: a parametric modelling approach

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  • Garc𨀍
  • Prieto-Alaiz
  • Sim

Abstract

This article examines the influence of macroeconomic factors on personal income distribution in developing countries using a parametric modelling approach. The technique is based on the selection and estimation of a theoretical parametric model (a Dagum distribution) which fits accurately to the empirical income distributions of the countries examined. The parameters of the model specifically related to inequality are subsequently used as dependent variables in econometric models in order to examine the impact that certain macroeconomic variables (GDP growth, inflation, employment and real interest rates) have on inequality. The results reveal that GDP growth, employment rate and real interest rate are the macroeconomic factors with greater impact in shaping personal income distribution in developing countries.

Suggested Citation

  • Garc𨀍 & Prieto-Alaiz & Sim, 2013. "The influence of macroeconomic factors on personal income distribution in developing countries: a parametric modelling approach," Applied Economics, Taylor & Francis Journals, vol. 45(30), pages 4323-4334, October.
    • Handle: RePEc:taf:applec:v:45:y:2013:i:30:p:4323-4334
    DOI: 10.1080/00036846.2013.778952
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    1. John Thornton, 2001. "The Kuznets inverted-U hypothesis: panel data evidence from 96 countries," Applied Economics Letters, Taylor & Francis Journals, vol. 8(1), pages 15-16.
    2. Salem, A B Z & Mount, T D, 1974. "A Convenient Descriptive Model of Income Distribution: The Gamma Density," Econometrica, Econometric Society, vol. 42(6), pages 1115-1127, November.
    3. Deininger, Klaus & Squire, Lyn, 1996. "A New Data Set Measuring Income Inequality," The World Bank Economic Review, World Bank, vol. 10(3), pages 565-591, September.
    4. Blinder, Alan S & Esaki, Howard Y, 1978. "Macroeconomic Activity and Income Distribution in the Postwar United States," The Review of Economics and Statistics, MIT Press, vol. 60(4), pages 604-609, November.
    5. Philippe Aghion & Patrick Bolton, 1997. "A Theory of Trickle-Down Growth and Development," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(2), pages 151-172.
    6. Shaohua Chen & Martin Ravallion, 2010. "The Developing World is Poorer than We Thought, But No Less Successful in the Fight Against Poverty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1577-1625.
    7. Martin Ravallion, 2003. "Measuring Aggregate Welfare in Developing Countries: How Well Do National Accounts and Surveys Agree?," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 645-652, August.
    8. McDonald, James B. & Xu, Yexiao J., 1995. "A generalization of the beta distribution with applications," Journal of Econometrics, Elsevier, vol. 69(2), pages 427-428, October.
    9. Maria‐Pia Victoria‐Feser, 2000. "Robust Methods for the Analysis of Income Distribution, Inequality and Poverty," International Statistical Review, International Statistical Institute, vol. 68(3), pages 277-293, December.
    10. FA Al‐Marhubi, 2000. "Income inequality and inflation: the cross‐country evidence," Contemporary Economic Policy, Western Economic Association International, vol. 18(4), pages 428-439, October.
    11. James B. McDonald, 2008. "Some Generalized Functions for the Size Distribution of Income," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 3, pages 37-55, Springer.
    12. Carmelo Garcia Perez & Mercedes Prieto Alaiz, 2011. "Using the Dagum model to explain changes in personal income distribution," Applied Economics, Taylor & Francis Journals, vol. 43(28), pages 4377-4386.
    13. Thomas Piketty, 1997. "The Dynamics of the Wealth Distribution and the Interest Rate with Credit Rationing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(2), pages 173-189.
    14. Kleiber, Christian, 1996. "Dagum vs. Singh-Maddala income distributions," Economics Letters, Elsevier, vol. 53(3), pages 265-268, December.
    15. David M. Cutler & Lawrence F. Katz, 1991. "Macroeconomic Performance and the Disadvantaged," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(2), pages 1-74.
    16. Branko Milanovic, 2005. "Can We Discern the Effect of Globalization on Income Distribution? Evidence from Household Surveys," The World Bank Economic Review, World Bank, vol. 19(1), pages 21-44.
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    Cited by:

    1. Philipp Doerrenberg & Andreas Peichl, 2014. "The impact of redistributive policies on inequality in OECD countries," Applied Economics, Taylor & Francis Journals, vol. 46(17), pages 2066-2086, June.

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