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@inproceedings{7019, author = {Marek, Luboš and Vrabec, Michal and Berka, Petr}, address = {Prague}, booktitle = {Applications of Mathematics and Statistics in Economics: 2018: 21th AMSE}, editor = {Hronová, S., Ptáčková, V., Šafr, K. a Vltavská, K.}, keywords = {wage distribution, prediction, model verification}, howpublished = {paměťový nosič}, language = {eng}, location = {Prague}, isbn = {978-80-245-2277-7}, pages = {211-221}, publisher = {Oeconomica Publishing house}, title = {Ex-post verification of prediction models of wage distributions}, year = {2018} }
TY - JOUR ID - 7019 AU - Marek, Luboš - Vrabec, Michal - Berka, Petr PY - 2018 TI - Ex-post verification of prediction models of wage distributions PB - Oeconomica Publishing house CY - Prague SN - 9788024522777 KW - wage distribution, prediction, model verification N2 - Our paper deals with the ex-post verification of models of wage distributions designed to predict wage distributions in the last three years. We will use the prediction results of Lognormal, Lognormal (3p), Johnson SB, Log-Logistic, Log-Logistic (3p) and Normal Mixture distributions and compare them with the empirical distribution from the period 2015-2017. The selection of the used distributions is based on the wage distribution models for the years 2000-2014. Our results show, that the best (and comparable) results can be obtained using three-parameter Log-logistic distribution and Normal Mixture distribution with two components. These results confirm our expectation that due to the fact, that empirical wage distribution becomes less smooth over time, a mixture model should be preferred for the future. ER -
MAREK, Luboš, Michal VRABEC and Petr BERKA. Ex-post verification of prediction models of wage distributions. In Hronová, S., Ptáčková, V., Šafr, K. a Vltavská, K. \textit{Applications of Mathematics and Statistics in Economics: 2018: 21th AMSE}. Prague: Oeconomica Publishing house, 2018, p.~211-221. ISBN~978-80-245-2277-7.
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