Abstract
This article explores the possibility of modeling the wage distribution using a mixture of density functions. We deal with this issue for a long time and we build on our earlier work. Classical models use the probability distribution such as normal, lognormal, Pareto, etc., but the results are not very good in the last years. Changing the parameters of a probability density over time has led to a degradation of such models and it was necessary to choose a different probability distribution. We were using the idea of mixtures of distributions (instead of using one classical density) in previous articles. We tried using a mixture of probability distributions (normal, lognormal and a mixture of Johnson’s distribution densities) in our models. The achieved results were very good. We used data from Czech Statistical Office covering the wages of the last 18 years in Czech Republic.
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This work was supported by P402/12/G097.
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Marek, L., Vrabec, M. Using mixture density functions for modelling of wage distributions. Cent Eur J Oper Res 24, 389–405 (2016). https://doi.org/10.1007/s10100-015-0409-4
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DOI: https://doi.org/10.1007/s10100-015-0409-4