Income Distribution, Income Inequality and Life Cycle Effects - A Nonparametric Analysis for Switzerland
This paper illustrates the use of nonparametric estimation techniques in the analysis of income distribution and income inequality with focus on identifying life cycle effects. I consider kernel estimates of the univariate income density and of the bivariate incomeage density. The income-age relationship is also explored by using kernel regression. It turns out that there is a strong concave relation. To analyze the degree of inequality I estimate age-conditional inequality measures nonparametrically. Employing inequality indices belonging to the class of General Entropy measures, which are additively decomposable by population subgroups, allows to compare the results with the traditional approach. It turns out that there is hardly any difference. About 12-15% of total inequality can be attributed to life cycle effects.
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- Michael Gerfin, 1994.
"Income Distribution, Income Inequality and Life Cycle Effects - A Nonparametric Analysis for Switzerland,"
Swiss Journal of Economics and Statistics (SJES),
Swiss Society of Economics and Statistics (SSES), vol. 130(III), pages 509-522, September.
- Michael Gerfin, 1994. "Income Distribution, Income Inequality and Life Cycle Effects - A Nonparametric Analysis for Switzerland," Diskussionsschriften dp9405, Universitaet Bern, Departement Volkswirtschaft.
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- 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 249-276, July-Sept.
- Wolfgang HAERDLE & Marlene MUELLER, "undated". "Applied nonparametric smoothing techniques," Statistic und Oekonometrie 9303, Humboldt Universitaet Berlin. Full references (including those not matched with items on IDEAS)