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| HAL: halshs-00175923, version 1 |
| DOI: 10.1016/j.csda.2006.07.004 |
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| Computational Statistics & Data Analysis / Computational Statistics and Data Analysis 51, 7 (2007) 3368-3380 |
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| Estimation of income distribution and detection of subpopulations: an explanatory model |
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| Emmanuel Flachaire 1Olivier Nunez 2 |
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| (2007-04) |
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| 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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| 1: | Centre d'économie de la Sorbonne (CES) |
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CNRS : UMR8174 – Université Paris I - Panthéon-Sorbonne |
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| 2: | Universidad Carlos III de Madrid |
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Universidad Carlos III de Madrid |
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| Subject | : | Humanities and Social Sciences/Economies and finances Statistics/Statistics Theory Mathematics/Statistics |
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| income distribution – mixture models |
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| Attached file list to this document: | |||||
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| halshs-00175923, version 1 | |
| http://halshs.archives-ouvertes.fr/halshs-00175923 | |
| oai:halshs.archives-ouvertes.fr:halshs-00175923 | |
| From: Emmanuel Flachaire | |
| Submitted on: Monday, 1 October 2007 17:03:22 | |
| Updated on: Tuesday, 6 November 2007 16:52:48 | |
