{"title":"利用小尺度DSGE模型预测俄罗斯经济","authors":"Dmitry Kreptsev, S. Seleznev","doi":"10.31477/rjmf.201802.51","DOIUrl":null,"url":null,"abstract":"This study examines the ability of a small-scale DSGE model to forecast the dynamics of key macroeconomic variables for the Russian economy. The study uses two versions of a standard model of a small open economy, adding a stochastic oil price trend under various assumptions about exchange rate policy. Comparison with the same size BVAR model shows DSGE models to be superior as regards exchange rate, price and interest rate forecasting and slightly inferior with respect to GDP forecasting.","PeriodicalId":358692,"journal":{"name":"Russian Journal of Money and Finance","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Forecasting for the Russian Economy Using Small-Scale DSGE Models\",\"authors\":\"Dmitry Kreptsev, S. Seleznev\",\"doi\":\"10.31477/rjmf.201802.51\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines the ability of a small-scale DSGE model to forecast the dynamics of key macroeconomic variables for the Russian economy. The study uses two versions of a standard model of a small open economy, adding a stochastic oil price trend under various assumptions about exchange rate policy. Comparison with the same size BVAR model shows DSGE models to be superior as regards exchange rate, price and interest rate forecasting and slightly inferior with respect to GDP forecasting.\",\"PeriodicalId\":358692,\"journal\":{\"name\":\"Russian Journal of Money and Finance\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Russian Journal of Money and Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31477/rjmf.201802.51\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Journal of Money and Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31477/rjmf.201802.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Forecasting for the Russian Economy Using Small-Scale DSGE Models
This study examines the ability of a small-scale DSGE model to forecast the dynamics of key macroeconomic variables for the Russian economy. The study uses two versions of a standard model of a small open economy, adding a stochastic oil price trend under various assumptions about exchange rate policy. Comparison with the same size BVAR model shows DSGE models to be superior as regards exchange rate, price and interest rate forecasting and slightly inferior with respect to GDP forecasting.