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Focusing on short-term wage and income distribution forecasts, this monograph explores univariate statistical models, drawing from extensive research in the Czech Republic and the EU from 1992 to 2013. It evaluates various distributions, including Pareto and lognormal models, and examines methods for parameter estimation such as moment, quantile, and maximum likelihood methods, as well as L-moments and TL-moments. The findings aim to enhance predictive accuracy for above-average wages and overall income distributions.
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L-moments and TL-moments in Modeling the Distribution of Wage, Diana Bílková
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- Pubblicato
- 2014
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