The paper addresses the medium-term forecasting of the employed population of the Samarkand region. The aim is to construct a statistically sound employment forecasting model based on the Box–Jenkins methodology, using official data of the National Statistics Committee of the Republic of Uzbekistan for 2000–2025. Comparative analysis in R identifies ARIMA(1,1,0) with drift as the preferred specification; the order of integration is confirmed by the Zivot–Andrews test, which is robust to the structural break of 2018. According to the forecast, the number of employed persons may reach 1,791.5 thousand by 2030 (95 % confidence interval: 1,621.6-1,961.4), an increase of 11.2 % over five years. As the residuals depart from normality, interval estimates are additionally obtained by bootstrap and should be treated as indicative.
| Mualliflar | Таирова Алия Тагировна |
|---|---|
| Jurnal | Меҳнат иқтисодиёти ва инсон капитали |
| Nashriyot | ТДИУ |
| ISSN | 3030-3117 |
| Nashr sanasi | 2026-10-29 |
| Son | 1. |
| Til | Rus |
| Ilmiy soha | Iqtisodiyot |
| DOI | 10.67668/lehc/voliss1-maxsus/534 |
| Indeksga qo‘shilgan | 2026-10-29 |
DOI: 10.67668/lehc/voliss1-maxsus/534 · Maqolaning asl sahifasi
band aholi soni, prognoz, mehnat bozori, vaqt qatorlari, ARIMA modeli, strukturaviy uzilish, Samarqand viloyati, statistik modellashtirish, ekonometrik tahlil, численность занятых, прогноз, рынок труда, временные ряды, модель ARIMA, структурный сдвиг, Самаркандская область, статистическое моделирование, эконометрический анализ, number of employed persons, forecast, labour market, time series, ARIMA model, structural break, Samarkand region, statistical modelling, econometric analysis
| APA | Таирова Алия Тагировна (2026). ПРОГНОЗИРОВАНИЕ ЧИСЛЕННОСТИ ЗАНЯТЫХ В САМАРКАНДСКОЙ ОБЛАСТИ НА ОСНОВЕ МОДЕЛЕЙ КЛАССА ARIMA. Меҳнат иқтисодиёти ва инсон капитали, (1.). https://doi.org/10.67668/lehc/voliss1-maxsus/534 |
|---|---|
| GOST (OAK) | Таирова Алия Тагировна ПРОГНОЗИРОВАНИЕ ЧИСЛЕННОСТИ ЗАНЯТЫХ В САМАРКАНДСКОЙ ОБЛАСТИ НА ОСНОВЕ МОДЕЛЕЙ КЛАССА ARIMA // Меҳнат иқтисодиёти ва инсон капитали. – 2026. – № 1.. – DOI: 10.67668/lehc/voliss1-maxsus/534. |
| MLA | Таирова Алия Тагировна. “ПРОГНОЗИРОВАНИЕ ЧИСЛЕННОСТИ ЗАНЯТЫХ В САМАРКАНДСКОЙ ОБЛАСТИ НА ОСНОВЕ МОДЕЛЕЙ КЛАССА ARIMA.” Меҳнат иқтисодиёти ва инсон капитали, (1.), 2026. https://doi.org/10.67668/lehc/voliss1-maxsus/534 |
| Chicago | Таирова Алия Тагировна. “ПРОГНОЗИРОВАНИЕ ЧИСЛЕННОСТИ ЗАНЯТЫХ В САМАРКАНДСКОЙ ОБЛАСТИ НА ОСНОВЕ МОДЕЛЕЙ КЛАССА ARIMA.” Меҳнат иқтисодиёти ва инсон капитали, (1.) (2026). https://doi.org/10.67668/lehc/voliss1-maxsus/534 |
| Harvard | Таирова Алия Тагировна (2026) ‘ПРОГНОЗИРОВАНИЕ ЧИСЛЕННОСТИ ЗАНЯТЫХ В САМАРКАНДСКОЙ ОБЛАСТИ НА ОСНОВЕ МОДЕЛЕЙ КЛАССА ARIMA’, Меҳнат иқтисодиёти ва инсон капитали, (1.). https://doi.org/10.67668/lehc/voliss1-maxsus/534 |
| BibTeX | @article{article2026,
title = {ПРОГНОЗИРОВАНИЕ ЧИСЛЕННОСТИ ЗАНЯТЫХ В САМАРКАНДСКОЙ ОБЛАСТИ НА ОСНОВЕ МОДЕЛЕЙ КЛАССА ARIMA},
author = {Таирова Алия Тагировна},
journal = {Меҳнат иқтисодиёти ва инсон капитали},
year = {2026},
number = {1.},
doi = {10.67668/lehc/voliss1-maxsus/534},
url = {https://doi.org/10.67668/lehc/voliss1-maxsus/534}
} |
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