PREDICTING CHANGES IN THE LABOR MARKET IN GLOBAL ASPECT

The labor market is one of the markets operating in any economy. The buyers of the labor market are employers, while sellers - employees. The main functions of the labor market are the allocation and reallocation of human resources, ensuring long-term balance between supply and demand for labor. The article focuses on the labor market in terms of both employers and employees, since the study presented in the article refers to the unemployment rate. It is a global problem. It applies to every country and region. The effects of too high a rate of unemployment are severe for both employers and employees. The aim of the article is the prediction of the unemployment rate. Unemployment can explore different methods and tools. In an article for the prediction of unemployment proposed artificial neural network and wavelet transform. Prediction, performed using a authorial algorithm. The algorithm was based on discrete wavelet. Used Haar wavelet the first row, ie. Daubechies wavelet. The results obtained are subject to low prediction error suggesting that the algorithm is efficient and can be used for further testing.