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THE ROLE OF INFORMATION TECHNOLOGIES IN ECONOMETRIC RESEARCH: CAPABILITIES OF THE EVIEWS SOFTWARE

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ARTICLE ANNOTATION

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The accelerated digitalisation of economic systems has profoundly altered the nature of empirical research, particularly in the field of econometrics. The integration of information technologies has facilitated more precise data processing and predictive modelling. EViews is a globally used econometric software package distinguished by its advanced capabilities in analysing time series, cross-sectional, and panel datasets. It is notable for its provision of practical solutions for simulating real economic phenomena. The present study explores the methodological advantages of EViews, emphasising its data management tools, regression analysis, statistical diagnostics and forecasting capabilities. The article under scrutiny here utilises the medium to emphasise how the integration of digital tools, such as EViews, serves to strengthen economic policy evaluation and improve decision-making efficiency.

AUTHORS

F.Norqobilova

Qarshi davlat texnika universiteti

H.Xoliyorova

Qarshi davlat texnika universiteti

Tags

# информационные технологии# прогнозирование# forecasting# econometrics# economic growth# экономический рост# information technologies# iqtisodiy o‘sish# axborot texnologiyalari# prognozlash# data analytics# ma’lumotlar tahlili# эконометрика# ko‘p omilli regressiya# ekonometrika# аналитика данных# EViews# multiple regression# statistical diagnostics# time series modeling# множественная регрессия# статистическая диагностика# моделирование временных рядов# statistik diagnostika# vaqt qatorlari modellashtirish

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References

[1] Rasulev, D., Nurullayeva, Sh., Rozmetova, N., & Muminova, M. (2019). Fundamentals of econometrics: A study guide. Tashkent: IQTISODIYOT.

[2] Dougherty, C. (2011). Introduction to econometrics (4th ed.). Oxford University Press. (Also available in 3rd ed., 2006, and Russian translation: Dougerti, Kr. Vvedenie v ekonometriku [3rd ed.]. Moscow: INFRA-M, 2009.)

[3] Dougherty, C. (2011). Elements of econometrics: Study guide. University of London.

[4] Gujarati, D. N. (2003). Basic econometrics (4th ed.). McGraw-Hill.

[5] Gujarati, D. N., & Porter, D. C. (2009). Basic econometrics (5th ed.). McGraw-Hill.

[6] Абдуллаев, О. М., Ходиев, Б. Ю., & Ишназаров, А. И. (2007). Эконометрика: Учебник. Ташкент: Фан ва технология.

[7] Абдуллаев, О. М., & Джамалов, М. С. (2010). Эконометрическое моделирование: Учебник. Ташкент: Фан ва технология.

[8] Елисеева, И. И., Куришева, С. В., и др. (2007). Эконометрика: Учебник. Москва: Финансы и статистика.

[1] Rasulev, D., Nurullayeva, Sh., Rozmetova, N., & Muminova, M. (2019). Fundamentals of econometrics: A study guide. Tashkent: IQTISODIYOT.

[2] Dougherty, C. (2011). Introduction to econometrics (4th ed.). Oxford University Press. (Also available in 3rd ed., 2006, and Russian translation: Dougerti, Kr. Vvedenie v ekonometriku [3rd ed.]. Moscow: INFRA-M, 2009.)

[3] Dougherty, C. (2011). Elements of econometrics: Study guide. University of London.

[4] Gujarati, D. N. (2003). Basic econometrics (4th ed.). McGraw-Hill.

[5] Gujarati, D. N., & Porter, D. C. (2009). Basic econometrics (5th ed.). McGraw-Hill.

[6] Абдуллаев, О. М., Ходиев, Б. Ю., & Ишназаров, А. И. (2007). Эконометрика: Учебник. Ташкент: Фан ва технология.

[7] Абдуллаев, О. М., & Джамалов, М. С. (2010). Эконометрическое моделирование: Учебник. Ташкент: Фан ва технология.

[8] Елисеева, И. И., Куришева, С. В., и др. (2007). Эконометрика: Учебник. Москва: Финансы и статистика.