DETECTION, CORRECTION, AND FORECASTING OF HETEROSKEDASTICITY IN THE INDUSTRIAL SECTOR: THE CASE OF UZBEKISTAN

Ilyos A. Shakarov; Orzugul Sh. Rashidova; Oybek N. Nosirov; Anagul S. Hasanova

Vol. 1 No. 6 (2026), Articles

Vol. 1 No. 6 (2026)

DETECTION, CORRECTION, AND FORECASTING OF HETEROSKEDASTICITY IN THE INDUSTRIAL SECTOR: THE CASE OF UZBEKISTAN

Articles

Published 2026-06-07

Ilyos A. Shakarov⁺⁻
Orzugul Sh. Rashidova⁺⁻
Oybek N. Nosirov⁺⁻
Anagul S. Hasanova⁺⁻

Ilyos A. Shakarov

Master's Student, Faculty of Mathematics, National University of Uzbekistan; Lecturer, Department of Exact Sciences, Academic Lyceum of Tashkent State Agrarian University

Orzugul Sh. Rashidova

Master's Student, Faculty of Mathematics, University of Exact and Social Sciences; Lecturer, Department of Exact Sciences, Academic Lyceum of Tashkent State Agrarian University

Oybek N. Nosirov

Master's Student, Faculty of Mathematics, Chirchik State Pedagogical University; Lecturer, Department of Exact Sciences, Academic Lyceum of Tashkent State Agrarian University

Anagul S. Hasanova

Lecturer, Department of Exact Sciences, Academic Lyceum of Tashkent State Agrarian University

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Keywords

Heteroskedasticity, regression analysis, Breusch–Pagan test, White test, logarithmic transformation, forecasting, industry, investments, Uzbekistan.

How to Cite

DETECTION, CORRECTION, AND FORECASTING OF HETEROSKEDASTICITY IN THE INDUSTRIAL SECTOR: THE CASE OF UZBEKISTAN. (2026). International Congress on Economics, Management and Business Studies, 1(6), 19-25. https://econferencia.com/index.php/8/article/view/855

Abstract

This scientific article examines the relationship between investments in fixed capital and the gross value added of the industrial sector in the Republic of Uzbekistan using econometric methods. Based on quarterly statistical data for the period 2020–2025, a regression model was constructed. Heteroskedasticity was identified using the Breusch–Pagan and White tests and was subsequently corrected through a logarithmic transformation approach. In addition, forecast results for the period 2026–2030 are presented.

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