Estimation of income distribution and detection of subpopulations: an explanatory model
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.
|Date of creation:||Apr 2007|
|Date of revision:|
|Publication status:||Published in Computational Statistics & Data Analysis / Computational Statistics and Data Analysis, 2007, 51 (7), pp.3368-3380. <10.1016/j.csda.2006.07.004>|
|Note:||View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00175923|
|Contact details of provider:|| Web page: https://hal.archives-ouvertes.fr/|
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