Ols confidence intervals in non-linear models: bootstrap approach

Rakhimov, Zarrukh, Рахимов, Заррух, Raximov, Zarrux

Иқтисодий тараққиёт ва таҳлил · 2024-yil

Annotatsiya

Linear models has been a powerful econometric tool used to show the relationship between two or more variables. Many studies also use linear approximation for nonlinear cases as it still might show valid results. OLS method requires the relationship of dependent and independent variables to be linear, although many studies employ OLS approximation even for nonlinear cases. In this study, we are introducing alternative method of intervals estimation, bootstrap, in linear regressions when the relationship is nonlinear. We compare the traditional and bootstrap confidence intervals when data has nonlinear relationship. As we need to know the true parameters, we carry out a simulation study. Our research findings indicate that when error term has non-normal shape, bootstrap interval will outperform the traditional method due to no distributional assumption and wider interval width

Maqola ma’lumotlari
MualliflarRakhimov, Zarrukh, Рахимов, Заррух, Raximov, Zarrux
JurnalИқтисодий тараққиёт ва таҳлил
NashriyotЎзбекистон иқтисодиётини ривожлантиришнинг илмий-тадқиқот маркази
ISSN2992-877X
Nashr sanasi2024-05-31
Jild2
Son5
Betlar247-255
TilIngliz
Ilmiy sohaIqtisodiyot
DOI10.60078/2992-877x-2024-vol2-iss5-pp247-255
Indeksga qo‘shilgan2026-08-27

DOI: 10.60078/2992-877x-2024-vol2-iss5-pp247-255 · Maqolaning asl sahifasi

Kalit so‘zlar

МНК, нелинейная модель,, размер выборки, доверительный интервал, бутстрап, точность, размер интервала, дисперсия, OLS, nonlinear model, sample size, confidence Interval, bootstrap,, accuracy, interval size, variance, ОЛС, чизиқли бўлмаган модел, намуна ҳажми, ишонч оралиғи, юклаш чизиғи,, аниқлик, интервал ўлчами, дисперсия

Ilmiy soha

Iqtisodiyot

Iqtibos keltirish

APARakhimov, Zarrukh, Рахимов, Заррух, & Raximov, Zarrux (2024). OLS CONFIDENCE INTERVALS IN NON-LINEAR MODELS: BOOTSTRAP APPROACH. Иқтисодий тараққиёт ва таҳлил, 2(5), 247-255. https://doi.org/10.60078/2992-877x-2024-vol2-iss5-pp247-255
GOST (OAK)Rakhimov, Zarrukh, Рахимов, Заррух, Raximov, Zarrux OLS CONFIDENCE INTERVALS IN NON-LINEAR MODELS: BOOTSTRAP APPROACH // Иқтисодий тараққиёт ва таҳлил. – 2024. – T. 2, № 5. – P. 247-255. – DOI: 10.60078/2992-877x-2024-vol2-iss5-pp247-255.
MLARakhimov, Zarrukh, Рахимов, Заррух, and Raximov, Zarrux. “OLS CONFIDENCE INTERVALS IN NON-LINEAR MODELS: BOOTSTRAP APPROACH.” Иқтисодий тараққиёт ва таҳлил, 2(5), 247-255, 2024. https://doi.org/10.60078/2992-877x-2024-vol2-iss5-pp247-255
ChicagoRakhimov, Zarrukh, Рахимов, Заррух, and Raximov, Zarrux. “OLS CONFIDENCE INTERVALS IN NON-LINEAR MODELS: BOOTSTRAP APPROACH.” Иқтисодий тараққиёт ва таҳлил, 2(5), 247-255 (2024). https://doi.org/10.60078/2992-877x-2024-vol2-iss5-pp247-255
HarvardRakhimov, Zarrukh, Рахимов, Заррух, and Raximov, Zarrux (2024) ‘OLS CONFIDENCE INTERVALS IN NON-LINEAR MODELS: BOOTSTRAP APPROACH’, Иқтисодий тараққиёт ва таҳлил, 2(5), 247-255. https://doi.org/10.60078/2992-877x-2024-vol2-iss5-pp247-255
BibTeX
@article{rakhimovzarrukh2024,
  title = {OLS CONFIDENCE INTERVALS IN NON-LINEAR MODELS: BOOTSTRAP APPROACH},
  author = {Rakhimov, Zarrukh and Рахимов, Заррух and Raximov, Zarrux},
  journal = {Иқтисодий тараққиёт ва таҳлил},
  year = {2024},
  volume = {2},
  number = {5},
  pages = {247-255},
  doi = {10.60078/2992-877x-2024-vol2-iss5-pp247-255},
  url = {https://doi.org/10.60078/2992-877x-2024-vol2-iss5-pp247-255}
}

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