Application of the L-Moment Method when Modelling the Income Distribution in the Czech Republic

Abstract

This paper deals with modelling income distributions in the Czech Republic in 1992–2007. The net annual income per capita for Czech households is evaluated from data based on the microcensus and the EU-SILC 2005–2008. For all analysed years the distribution of incomes was estimated in the whole sample as well as in the subgroup of households, whose heads are physicists (or experts in related sciences), architects and engineers. Inthe paper the three-parametric lognormal distribution is used as a model. Unknownparameters are estimated with the use of four methods – those of maximum likelihood, quantiles, moments and L-moments.