Detection, Correction, and Forecasting of Heteroskedasticity in the Industrial Sector: the Case of Uzbekistan

Authors

  • Ilyos A. Shakarov National University of Uzbekistan (Master’s student, Faculty of Mathematics) Author
  • Orzugul Sh. Rashidova University of Exact and Social Sciences (Master’s student, Faculty of Mathematics) Author
  • Oybek N. Nosirov Chirchik State Pedagogical University (Master’s student, Faculty of Mathematics) Author
  • Anagul S. Hasanova Academic Lyceum of Tashkent State Agrarian University (Lecturer, Department of Exact Sciences) Author

Keywords:

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

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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Published

2026-11-02

How to Cite

Detection, Correction, and Forecasting of Heteroskedasticity in the Industrial Sector: the Case of Uzbekistan. (2026). New Innovations in National Education, 3(11). https://reandpub.uz/nine/article/view/1390

References

Statistics Agency under the President of the Republic of Uzbekistan. Official Statistical Database. Available at: https://stat.uz

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White, H. (1980). A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity. Econometrica, 48(4), 817–838.

Gujarati, D. N. (2019). Basic Econometrics (5th ed.). McGraw-Hill Education.

Wooldridge, J. M. (2020). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning.