Template-Type: ReDIF-Article 1.0 Author-Name: Marina Turuntseva Author-Name-First: Marina Author-Name-Last: Turuntseva Author-Workplace-Name: Gaidar Institute for Economic Policy Author-Name: Ekaterina Astafieva Author-Name-First: Ekaterina Author-Name-Last: Astafieva Author-Workplace-Name: Gaidar Institute for Economic Policy Author-Name: Alexandra Bozhechkova Author-Name-First: Alexandra Author-Name-Last: Bozhechkova Author-Workplace-Name: Gaidar Institute for Economic Policy Author-Name: Yuri Ponomarev Author-Name-First: Yuri Author-Name-Last: Ponomarev Author-Workplace-Name: Gaidar Institute for Economic Policy Author-Name: Marina Baeva Author-Name-First: Marina Author-Name-Last: Baeva Author-Workplace-Name: RANEPA Author-Name: A. Buzaev Author-Name-First: A. Author-Name-Last: Buzaev Author-Workplace-Name: RANEPA Author-Name:Tatiana Kiblitskaya Author-Name-First: Tatiana Author-Name-Last: Kiblitskaya Author-Workplace-Name: RANEPA Author-Name:Anton Skrobotov Author-Name-First: Anton Author-Name-Last: Skrobotov Author-Workplace-Name: RANEPA Title: Model Calculations of Short-Run Forecasts of Russian Economic Time Series. Abstract: This paper presents calculations of various economic indicators for the Russian Federation in the period from September 2015 to February 2016, which were performed using time series models developed as a result of research conducted by the Gaidar Institute over the past few years.[1] A method of forecasting falls within the group of formal or statistical methods. In other words, the calculated values neither express the opinion nor expert evaluation of the researcher, rather they are calculations of future values for a specific economic indicator, which were performed using formal ARIMA models (p, d, q) given a prevailing trend and its, in some cases, significant changes. Classification-JEL: C12, C13, C15, C22, C23 Keywords: Russian economy, time series, forecast, ARIMA model Journal: Model Calculations of Short-Run Forecasts of Russian Economic Time Series. Year: 2015 Issue: 9 Month: August Pages: 1-19 File-URL: http://www.iep.ru/files/RePEc/gai/mcfren/09-2015-en.pdf File-Format: Application/pdf Handle: RePEc:gai:mcfren:09-2015