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

Norkobilova, Feruza Abdukhomidovna, Kholiyorova, Hilola Komilkizi, Норкобилова, Феруза Абдухамидовна, Холиёрова, Хилола Комилкизи, Norqobilova, Feruza Abduhomidovna, Xoliyorova, Hilola Komilqizi

Саноатда рақамли технологиялар · 2025-yil

Annotatsiya

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.

Maqola ma’lumotlari
MualliflarNorkobilova, Feruza Abdukhomidovna, Kholiyorova, Hilola Komilkizi, Норкобилова, Феруза Абдухамидовна, Холиёрова, Хилола Комилкизи, Norqobilova, Feruza Abduhomidovna, Xoliyorova, Hilola Komilqizi
JurnalСаноатда рақамли технологиялар
Nashr sanasi2025-10-28
Jild3
Son4
Betlar246-249
TilIngliz
DOI10.70769/3030-3214.srt.3.4.2025.7

Kalit so‘zlar

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

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