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Estimation of income distribution and detection of subpopulations: an explanatory model

  • Emmanuel Flachaire

    ()

    (CES - Centre d'économie de la Sorbonne - CNRS : UMR8174 - Université Paris I - Panthéon-Sorbonne)

  • Olivier Nunez

    (Universidad Carlos III de Madrid [Madrid] - Universidad Carlos III de Madrid)

Empirical evidence, obtained from nonparametric estimation of the income distribution, exhibits strong heterogeneity in most populations of interest. It is common, therefore, to suspect that the population is composed of several homogeneous subpopulations. Such an assumption leads us to consider mixed income distributions whose components feature the distributions of the incomes of a particular homogeneous subpopulation. A model with mixing probabilities that are allowed to vary with exogenous individual variables that characterize each subpopulation is developed. This model simultaneously provides a flexible estimation of the income distribution, a breakdown into several subpopulations and an explanation of income heterogeneity.

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Paper provided by HAL in its series Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) with number halshs-00175923.

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Date of creation: Apr 2007
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Publication status: Published, Computational Statistics & Data Analysis / Computational Statistics and Data Analysis, 2007, 51, 7, 3368-3380
Handle: RePEc:hal:cesptp:halshs-00175923
Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00175923
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  1. Pudney, Stephen, 1993. "Income and Wealth Inequality and the Life Cycle: A Non-parametric Analysis for China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 249-76, July-Sept.
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