FLEXIBLE REGRESSION EQUATION ALGORITHMS IN FORECASTING CHANGES IN THE HIХ-LINDHAL INDEX

In the modern world, rapid changes in economic, financial, and social conditions require the development of accurate and effective forecasting methods. One of the important tools for evaluating economic processes is forecasting changes in specific indices, such as the Hicks-Lindahl index (HIX-Lindahl index), which reflects a comprehensive indicator of harmonious development. Thus, the outlined article explores the effectiveness of applying flexible regression equation algorithms in forecasting changes in the Hicks-Lindahl index. The study concludes that the flexible regression equation algorithms used for forecasting changes in the HIX-Lindahl index are formed using methods and techniques of statistical analysis aimed at creating accurate forecasting models. Flexibility is provided by an equation that introduces regularization conditions to allow the model to adapt to complex, nonlinear relationships between variables.