Fiskal va monetar siyosat ko‘rsatkichlarini modellashtirishda zamonaviy usullardan foydalanish
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Опубликован:
Jun 26, 2020
License:
Это произведение доступно по лицензии Creative Commons «Attribution-ShareAlike» («Атрибуция — На тех же условиях») 4.0 Всемирная
Это произведение доступно по лицензии Creative Commons «Attribution-ShareAlike» («Атрибуция — На тех же условиях») 4.0 Всемирная
Раздел
Статьи
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Аннотация
Ushbu maqolada fiskal va monetar siyosat ko‘rsatkichlarini modellashtirish uchun zamonaviy usullar tadqiq etiladi, AR, ARMA, ARIMA kabi modellar hamda Unit root test va Engle-Granger kabi usullarning xususiyatlari yoritiladi.
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Как цитировать
Hakimov, H. (2020). Fiskal va monetar siyosat ko‘rsatkichlarini modellashtirishda zamonaviy usullardan foydalanish . Архив научных исследований, 1(11). извлечено от https://ejournal.tsue.uz/index.php/archive/article/view/1527
Литература
Xu, Wenquan, et al. "Deep belief network-based AR model for nonlinear time series forecasting." Applied Soft Computing 77 (2019): 605-621.
Domingos, S. de O., João FL de Oliveira, and Paulo SG de Mattos Neto. "An intelligent hybridization of ARIMA with machine learning models for time series forecasting." Knowledge-Based Systems 175 (2019): 72-86.
Bao, Yong. "A general result on the estimation bias of ARMA models." Journal of Statistical Planning and Inference 197 (2018): 107-125.
Shrestha, Min B., and Guna R. Bhatta. "Selecting appropriate methodological framework for time series data analysis." The Journal of Finance and Data Science 4.2 (2018): 71-89.
Ahmed, Manzoor, et al. "Estimation of aggregate consumption function for high income countries." Pakistan Business Review 19.1 (2017): 24-45.
Engle, Robert F., and Clive WJ Granger. "Co-integration and error correction: representation, estimation, and testing." Econometrica: journal of the Econometric Society (1987): 251-276.
Hakimov, Hakimjon. 2020. Issues of optimic basis of public financing in following financial and monetary policy. https://journal.tsue.uz/index.php/archive/article/view/927
Ҳакимов, Ҳакимжон. 2019. «Макроиқтисодий барқарорликни таъминлашда фискал ва монетар сиёсатни мувофиқлаштириш зарурати». https://journal.tsue.uz/index.php/archive/article/view/627
Махмудов, Носир; Ҳакимов, Ҳакимжон. 2017. «Макроиқтисодий барқарорликни мустаҳкамлаш- барқарор иқтисодий ўсишни таъминлашнинг муҳим шарти». https://journal.tsue.uz/index.php/archive/article/view/674.
Баҳриддинов, В.; Ҳакимов, Ҳ. (2018). Инфляцияни таргетлаш сиёсатини амалга оширишнинг хориж тажрибаси. https://journal.tsue.uz/index.php/archive/article/view/666
Ҳакимов, Ҳакимжон. 2018. «Мамлакатда фискал ва монетар сиёсатни мувофиқлаштиришнинг моҳияти ва сабаблари». https://journal.tsue.uz/index.php/archive/article/view/224.
Махмудов Н.М, Ҳакимов Ҳ.А. "Иқтисодий ўсиш моделлари ва улардан макроиқтисодий таҳлилда фойдаланиш йўналишлари." Экономика и финансы (Узбекистан) 3 (2016).
Хакимов, Х. А. (2016). Роль государства в обеспечении макроэкономической стабилности. Ученый XXI века, (5-2)
Ҳакимов, Ҳ. (2020). Инқироз ва ундан кейинги шароитлар учун давлат қарзларининг юқори чегараси. https://journal.tsue.uz/index.php/archive/article/view/1038
Баҳриддинов, В. (2019). Инфляцион таргетлаш сиёсатинининг хусусиятлари ҳамда уни ўзбекистонда жорий этиш истиқболлари. https://journal.tsue.uz/index.php/archive/article/view/1079
Domingos, S. de O., João FL de Oliveira, and Paulo SG de Mattos Neto. "An intelligent hybridization of ARIMA with machine learning models for time series forecasting." Knowledge-Based Systems 175 (2019): 72-86.
Bao, Yong. "A general result on the estimation bias of ARMA models." Journal of Statistical Planning and Inference 197 (2018): 107-125.
Shrestha, Min B., and Guna R. Bhatta. "Selecting appropriate methodological framework for time series data analysis." The Journal of Finance and Data Science 4.2 (2018): 71-89.
Ahmed, Manzoor, et al. "Estimation of aggregate consumption function for high income countries." Pakistan Business Review 19.1 (2017): 24-45.
Engle, Robert F., and Clive WJ Granger. "Co-integration and error correction: representation, estimation, and testing." Econometrica: journal of the Econometric Society (1987): 251-276.
Hakimov, Hakimjon. 2020. Issues of optimic basis of public financing in following financial and monetary policy. https://journal.tsue.uz/index.php/archive/article/view/927
Ҳакимов, Ҳакимжон. 2019. «Макроиқтисодий барқарорликни таъминлашда фискал ва монетар сиёсатни мувофиқлаштириш зарурати». https://journal.tsue.uz/index.php/archive/article/view/627
Махмудов, Носир; Ҳакимов, Ҳакимжон. 2017. «Макроиқтисодий барқарорликни мустаҳкамлаш- барқарор иқтисодий ўсишни таъминлашнинг муҳим шарти». https://journal.tsue.uz/index.php/archive/article/view/674.
Баҳриддинов, В.; Ҳакимов, Ҳ. (2018). Инфляцияни таргетлаш сиёсатини амалга оширишнинг хориж тажрибаси. https://journal.tsue.uz/index.php/archive/article/view/666
Ҳакимов, Ҳакимжон. 2018. «Мамлакатда фискал ва монетар сиёсатни мувофиқлаштиришнинг моҳияти ва сабаблари». https://journal.tsue.uz/index.php/archive/article/view/224.
Махмудов Н.М, Ҳакимов Ҳ.А. "Иқтисодий ўсиш моделлари ва улардан макроиқтисодий таҳлилда фойдаланиш йўналишлари." Экономика и финансы (Узбекистан) 3 (2016).
Хакимов, Х. А. (2016). Роль государства в обеспечении макроэкономической стабилности. Ученый XXI века, (5-2)
Ҳакимов, Ҳ. (2020). Инқироз ва ундан кейинги шароитлар учун давлат қарзларининг юқори чегараси. https://journal.tsue.uz/index.php/archive/article/view/1038
Баҳриддинов, В. (2019). Инфляцион таргетлаш сиёсатинининг хусусиятлари ҳамда уни ўзбекистонда жорий этиш истиқболлари. https://journal.tsue.uz/index.php/archive/article/view/1079