Abstract
This work investigates the gross wage distribution dynamics in Poland in different time periods. The study includes several stages and components. We first estimate the linear relationships between wages in adjacent time periods, along with the content analysis of the obtained constant dependency coefficients. We observe differences in the dynamics of wage growth across classes of wage-earners. We also calculate the value of Gini coefficients, as well as the characteristics of wage equality distribution. We then analyze the obtained linear dependencies with the use of dispersion elements analysis. Our findings show that the dynamics of wages distribution in Poland are in line with the government’s goals with regard to a fairer wage distribution consistent with the current stage of the country’s socio-economic development. We then analyze these findings in light of the dynamics of wage distribution. In particular, we focus on differences in wage growth across classes of wage earners. A logarithmic function of the cost effect is used for quantitative analysis. Overall, this study contributes to the literature on the patterns of wage distribution dynamics, which have important policy implications for Poland and other countries at similar stages of socio-economic development.
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Notes
- 1.
The Gini index, an indicator of household income inequality, may have values comprised between 0 and 1, where 0 is complete equality and 1 is complete inequality.
- 2.
Wages in this study mean gross wages (before tax).
- 3.
Note that the arrays of primary data were used directly without their aggregation into groups.
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Voytsekhovska, V., Butzbach, O.K. (2019). An Analysis of Wage Distribution Equality Dynamics in Poland Based on Linear Dependencies. In: Petrucci, A., Racioppi, F., Verde, R. (eds) New Statistical Developments in Data Science. SIS 2017. Springer Proceedings in Mathematics & Statistics, vol 288. Springer, Cham. https://doi.org/10.1007/978-3-030-21158-5_30
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