logo
calendar26 январ 2026
view2
Asosiy til:O'zbek

ZAMONAVIY IQTISODIYOTDA EKONOMETRIK MODELLASHTIRISHNING OʻZIGA XOS JIHATLARI

Fan yo'nalishi:
pdf

69773c91c3fd9.pdf

PDF

MAQOLA ANNOTATSIYASI

quote
Ushbu maqola zamonaviy iqtisodiyotning dinamik va murakkab sharoitlarida ekonometrik modellashtirishning oʻziga xos jihatlarini oʻrganadi. Mazkur maqolada katta ma’lumotlar (big data), mashinaviy oʻrganish (machine learning) va sun’iy intellekt integratsiyasi kabi zamonaviy tendensiyalar ta’kidlangan boʻlib, ular inflyatsiya, ishsizlik, iqlim oʻzgarishi va pandemiya ta’sirini prognoz qilishda muhim rol oʻynaydi. Metodologiyada sistematik adabiyotlar tahlili qoʻllanilgan, bu esa Scopus, Web of Science, ResearchGate bazalaridagi soʻnggi 5 yillik (2020 2025) ilmiy maqolalarga tayanadi. Natijalar shuni koʻrsatadiki, ML-gibrid modellar prognoz aniqligini oshiradi (RMSE va MAE pasayishi), ammo iqlim oʻzgarishining salbiy ta’siri va ma’lumotlar noaniqligi qiyinchiliklarni keltirib chiqaradi. Xulosa va takliflarda siyosatni shakllantirishda modellarning chidamliligini oshirish, fanlararo hamkorlikni kuchaytirish va etik standartlarni joriy etish taklif etiladi, bu esa barqaror rivojlanish va iqtisodiy tiklanishga hissa qoʻshadi.

MUALIFLAR

Teglar

# inflation forecasting# большие данные# Big Data# climate change# Машинное обучение# Machine Learning# современная экономика# zamonaviy iqtisodiyot# modern economy# ekonometrik modellashtirish# эконометрическое моделирование# econometric modeling# barqaror rivojlanish.# sustainable development.# iqlim oʻzgarishi# устойчивое развитие.# katta ma’lumotlar# mashinaviy oʻrganish# DSGE modellar# inflyatsiya prognozi# изменение климата# модели DSGE# прогнозирование инфляции# DSGE models

Maqolani baholang

0

0 ta

Maqola idintifikatorlari

Foydalanilgan adabiyotlar

Ali, W., Ambiya, & Dash, D. P. (2023). Examining the Perspectives of Gender Development and Inequality: A Tale of Selected Asian Economies. Administrative Sciences, 13(4), 115. https://doi.org/10.3390/admsci13040115

Alomani, G., et al. (2025). Global inflation forecasting and Uncertainty Assessment: Comparing ARIMA with advanced machine learning. Journal of Radiation Research and Applied Sciences, 18(2), 101402. https://doi.org/10.1016/j.jrras.2025.101402

Chudo, S. B., & Terdik, G. (2025). Modeling and Forecasting Time-Series Data with Multiple Seasonal Periods Using Periodograms. Econometrics, 13(2), 14. https://doi.org/10.3390/econometrics13020014

Chung, D., & Hwang, J. (2022). An Economic and Social Impact of International Aid at National Level: application of spatial panel model. World, 3(3), 575-585. https://doi.org/10.3390/world3030031

De Zarzà, I., et al. (2023). Optimized financial planning: integrating individual and cooperative models with LLM recommendations. AI, 5(1), 91-114. https://doi.org/10.3390/ai5010006

Dritsaki, M., & Dritsaki, C. (2023). R&D Expenditures on innovation: A panel cointegration study of the EU Countries. Sustainability, 15(8), 6637. https://doi.org/10.3390/su15086637

Fu, R., Deng, D., & Liu, T. (2023). The Impact of Aging on Housing Market: Evidence from China. Sustainability, 15(5), 4161. https://doi.org/10.3390/su15054161

Furmankiewicz, M., et al. (2021). Climate change challenges and community-led development strategies: Do they fit together in fisheries regions?. Energies, 14(20), 6614. https://doi.org/10.3390/en14206614

Gričar, S., Lojanica, N., & Backović, T. (2025). Financial Econometrics and Quantitative Economic Analysis. Journal of Risk and Financial Management, 18(3), 166. https://doi.org/10.3390/jrfm18030166

Jo, C., Kim, D. H., & Lee, J. W. (2023). Forecasting unemployment and employment: A system dynamics approach. Technological Forecasting and Social Change, 194, 122715. https://doi.org/10.1016/j.techfore.2023.122715

Khan, R. Z., Razak, L. A., & Premaratne, G. (2025). Green Growth and Sustainability: A Systematic Literature Review on Theories, Measures and Future Directions. Cleaner and Responsible Consumption, 100274. https://doi.org/10.1016/j.clrc.2025.100274

Lakner, Z., et al. (2024). Possibilities and limits of modelling of long-range economic consequences of air pollution–A case study. Heliyon, 10(4). https://doi.org/10.1016/j.heliyon.2024.e26483

Majeed, A., et al. (2024). The symmetric effect of financial development, human capital and urbanization on ecological footprint: Insights from BRICST economies. Sustainability, 16(12), 5051. https://doi.org/10.3390/su16125051

McKibbin, W., & Fernando, R. (2023). The global economic impacts of the COVID-19 pandemic. Economic Modelling, 129, 106551. https://doi.org/10.1016/j.econmod.2023.106551

Ali, W., Ambiya, & Dash, D. P. (2023). Examining the Perspectives of Gender Development and Inequality: A Tale of Selected Asian Economies. Administrative Sciences, 13(4), 115. https://doi.org/10.3390/admsci13040115

Alomani, G., et al. (2025). Global inflation forecasting and Uncertainty Assessment: Comparing ARIMA with advanced machine learning. Journal of Radiation Research and Applied Sciences, 18(2), 101402. https://doi.org/10.1016/j.jrras.2025.101402

Chudo, S. B., & Terdik, G. (2025). Modeling and Forecasting Time-Series Data with Multiple Seasonal Periods Using Periodograms. Econometrics, 13(2), 14. https://doi.org/10.3390/econometrics13020014

Chung, D., & Hwang, J. (2022). An Economic and Social Impact of International Aid at National Level: application of spatial panel model. World, 3(3), 575-585. https://doi.org/10.3390/world3030031

De Zarzà, I., et al. (2023). Optimized financial planning: integrating individual and cooperative models with LLM recommendations. AI, 5(1), 91-114. https://doi.org/10.3390/ai5010006

Dritsaki, M., & Dritsaki, C. (2023). R&D Expenditures on innovation: A panel cointegration study of the EU Countries. Sustainability, 15(8), 6637. https://doi.org/10.3390/su15086637

Fu, R., Deng, D., & Liu, T. (2023). The Impact of Aging on Housing Market: Evidence from China. Sustainability, 15(5), 4161. https://doi.org/10.3390/su15054161

Furmankiewicz, M., et al. (2021). Climate change challenges and community-led development strategies: Do they fit together in fisheries regions?. Energies, 14(20), 6614. https://doi.org/10.3390/en14206614

Gričar, S., Lojanica, N., & Backović, T. (2025). Financial Econometrics and Quantitative Economic Analysis. Journal of Risk and Financial Management, 18(3), 166. https://doi.org/10.3390/jrfm18030166

Jo, C., Kim, D. H., & Lee, J. W. (2023). Forecasting unemployment and employment: A system dynamics approach. Technological Forecasting and Social Change, 194, 122715. https://doi.org/10.1016/j.techfore.2023.122715

Khan, R. Z., Razak, L. A., & Premaratne, G. (2025). Green Growth and Sustainability: A Systematic Literature Review on Theories, Measures and Future Directions. Cleaner and Responsible Consumption, 100274. https://doi.org/10.1016/j.clrc.2025.100274

Lakner, Z., et al. (2024). Possibilities and limits of modelling of long-range economic consequences of air pollution–A case study. Heliyon, 10(4). https://doi.org/10.1016/j.heliyon.2024.e26483

Majeed, A., et al. (2024). The symmetric effect of financial development, human capital and urbanization on ecological footprint: Insights from BRICST economies. Sustainability, 16(12), 5051. https://doi.org/10.3390/su16125051

McKibbin, W., & Fernando, R. (2023). The global economic impacts of the COVID-19 pandemic. Economic Modelling, 129, 106551. https://doi.org/10.1016/j.econmod.2023.106551

public

SLIB.uz — O'zbekiston ilmiy jurnallari va maqolalar yagona tizimda ilmiy nashirlarni bir joyda ko'rish, izlash va ulardan foydalanish imkonini beruvchi zamonaviy platforma.

Ijtimoiy tarmoqlarda
instagramtelegramyoutubefacebook

Bog'lanish uchun

Manzil:Chilonzor tumani Qatortol ko'chasi 60B

Tel:+998(55)511-44-00

Savol-javob va takliflar uchun

© 2026 Barcha huquqlar himoyalangan.