IDEAS home Printed from
   My bibliography  Save this paper

A Note of Growth and Inequality in Peru, 2003-2008


  • Gambetta, Renzo


This note reports information on the income inequality in Peru calculated from Income Household surveys from 2003-2008. Using surveys from the ENAHO published by the National Institute of Statistics, we used as index the household income annualized, it was divided by the total members of each household to compute the inequality indicators. We computed the density of income distribution using nonparametric methods (Kernel) then we used bootstrapping techniques to check the statistic significance of the inequality indexes variation using the K-S and the MWM to test the null hypothesis of no changes in income inequality between the periods. We conclude that the changes in the inequality indexes indeed have been reducing but in very minimal level even though the economic activity (real GDP) grew at sustained rates, 7.3% in average.

Suggested Citation

  • Gambetta, Renzo, 2009. "A Note of Growth and Inequality in Peru, 2003-2008," MPRA Paper 16986, University Library of Munich, Germany, revised 2009.
  • Handle: RePEc:pra:mprapa:16986

    Download full text from publisher

    File URL:
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    1. Walter Sosa Escudero & Leonardo Gasparini, 2000. "A note on the Statistical Significance of Changes in Inequality," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(1), pages 111-122, January-J.
    Full references (including those not matched with items on IDEAS)

    More about this item


    income distribution; non parametric estimation; bootstrapping;

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:16986. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.