employee
g. Rostova-na-Donu, Russian Federation
student
Rostov-na-Donu, Rostov-on-Don, Russian Federation
UDK 50 Общие вопросы математических и естественных наук
UDK 33 Экономика. Экономические науки
GRNTI 27.01 Общие вопросы математики
GRNTI 06.52 Экономическое развитие и рост. Прогнозир-ние и планирование экономики. Экономич. циклы и кризисы
OKSO 01.04.02 Прикладная математика и информатика
OKSO 38.07.02 Экономическая бехопасность
BBK 221 Математика
BBK 65 Экономика. Экономические науки
TBK 6117 Теория вероятностей. Математическая статистика
TBK 77 Экономика. Бухгалтерский учет. Финансы
BISAC MAT000000 General
In this article, an autoregressive model is constructed with the purpose of forecasting. Econometric modeling was carried out on the basis of monthly data from 01/01/2016 to 10/30/2019 of the volumes of Customs payments on import of the commodity group of the Customs nomenclature of the foreign economic activity of EAEU 12 “Oilseeds and fruits; other seeds, fruits and grains; medicinal plants and plants for technical purposes; straw and forage ”in the region of Rostov Customs activity. According the constructed model, a forecast is made for November 2019
econometrics, time series, modeling, forecasting, autoregressive model, customs payments
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