Financial Potential of Czech Employees from the Perspective of Gender Statistics
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Technická Univerzita v Liberci
Technical university of Liberec, Czech Republic
Technical university of Liberec, Czech Republic
Abstract
In the third quarter of 2022, the average gross monthly nominal wage rose by 6.1 percent compared to last year, but in real terms it fell by 9.8 percent due to inflation. The decline is the same as in the previous quarter. Inflation and a real drop in average wages have already forced three quarters of employees significantly to reduce some expenses. Considering the current situation, the biggest savings relate to holidays, eating out in restaurants, culture or sports activities. In general, people save by limiting purchases of better or better quality products or services, as well as branded products. The aim of this paper is to capture the situation regarding the development of the wages of Czech men and women since the last financial and subsequently economic crisis, through a period of significant economic conjuncture, which was followed by the coronavirus crisis, ensued by the current energy crisis, which is largely related, among other things, to the war conflict in Ukraine. For this purpose, not only statistics measuring the level of wages in the individual years 2009–2021 were calculated, but for this purpose models of the entire wage distribution were constructed and their development in the monitored period was captured. The three-parameter lognormal curves became the basis of these models, the parameters of which were estimated by the maximum likelihood method ensuring the minimum variance of the obtained estimates. Predictions of the entire wage distributions of men and women were constructed for the period 2022–2026 in order to specify the expected development of wage distributions. As part of these predictions, exponential smoothing of time series was applied, which assigns the highest weight to the most recent observations, and the weights of individual observations decrease exponentially towards the past.
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wages of men and women, growth rate of wages, wage models, maximum likelihood method, exponential smoothing
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978-80-7494-627-1