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Income inequality and economic development: evidence from sub-Saharan African countries

Author

Listed:
  • Cassandro Mendes

    (School of Business and Governance, University of Cape Verde)

  • Olugbenga Adesida

    (Ihaba, Cape Verde)

Abstract

The present paper used data from sub-Saharan african countries to analyze the relationship between income inequality and economic development. We used nonparametric and parametric methods to test their relationship. Our results are robust given that we used two different methods to archive our results. Both results confirm an N-shaped relationship between Income inequality and economic development.

Suggested Citation

  • Cassandro Mendes & Olugbenga Adesida, 2013. "Income inequality and economic development: evidence from sub-Saharan African countries," Economics Bulletin, AccessEcon, vol. 33(2), pages 1565-1574.
    • Handle: RePEc:ebl:ecbull:eb-13-00250
    as

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    File URL: http://www.accessecon.com/Pubs/EB/2013/Volume33/EB-13-V33-I2-P147.pdf
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    References listed on IDEAS

    as
    1. Toshiaki Tachibanaki, 2006. "Inequality And Poverty In Japan," The Japanese Economic Review, Japanese Economic Association, vol. 57(1), pages 1-27, March.
    2. John A. List & Craig A. Gallet, 1999. "The Kuznets Curve: What Happens After the Inverted‐U?," Review of Development Economics, Wiley Blackwell, vol. 3(2), pages 200-206, June.
    3. A. Gelan & G. N. Price, 2003. "African economies and the Kuznets curve: an exploratory investigation," Applied Economics Letters, Taylor & Francis Journals, vol. 10(12), pages 747-751.
    4. Shin, Inyong & Kim, Hyunho & Yamamura, Eiji, 2008. "Technological Progress and the Future of Kuznets Curve's," MPRA Paper 18866, University Library of Munich, Germany.
    5. Racine, Jeff, 1997. "Consistent Significance Testing for Nonparametric Regression," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 369-378, July.
    6. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    7. Hsiao, Cheng & Li, Qi & Racine, Jeffrey S., 2007. "A consistent model specification test with mixed discrete and continuous data," Journal of Econometrics, Elsevier, vol. 140(2), pages 802-826, October.
    8. Jeffery Racine & Jeffrey Hart & Qi Li, 2006. "Testing the Significance of Categorical Predictor Variables in Nonparametric Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 523-544.
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    Cited by:

    1. M., Cassandro, 2018. "Income inequality and Economic Development: evidences from Brazilian Municipalities," MPRA Paper 89517, University Library of Munich, Germany.

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    More about this item

    Keywords

    Income inequality. Economic development. Kernel regression.;

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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