{"title":"印尼区域经济增长预测","authors":"Jesica Nauli Br. Siringo Ringo, A. Monika","doi":"10.21098/bmeb.v25i3.1815","DOIUrl":null,"url":null,"abstract":"This study aims to nowcast gross regional domestic product at the provincial level for Indonesia. The dynamic factor model and mixed data sampling were applied to three sets of variables; namely, macroeconomic, financial, and Google Trends. We find that both methods captured several economic expansions and contractions, including the recent downturn during the COVID-19 pandemic. By including the pandemic period, accuracy across the same set of variables and provinces was slightly reduced.","PeriodicalId":36737,"journal":{"name":"Buletin Ekonomi Moneter dan Perbankan","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"NOWCASTING REGIONAL ECONOMIC GROWTH IN INDONESIA\",\"authors\":\"Jesica Nauli Br. Siringo Ringo, A. Monika\",\"doi\":\"10.21098/bmeb.v25i3.1815\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to nowcast gross regional domestic product at the provincial level for Indonesia. The dynamic factor model and mixed data sampling were applied to three sets of variables; namely, macroeconomic, financial, and Google Trends. We find that both methods captured several economic expansions and contractions, including the recent downturn during the COVID-19 pandemic. By including the pandemic period, accuracy across the same set of variables and provinces was slightly reduced.\",\"PeriodicalId\":36737,\"journal\":{\"name\":\"Buletin Ekonomi Moneter dan Perbankan\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Buletin Ekonomi Moneter dan Perbankan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21098/bmeb.v25i3.1815\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Buletin Ekonomi Moneter dan Perbankan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21098/bmeb.v25i3.1815","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
This study aims to nowcast gross regional domestic product at the provincial level for Indonesia. The dynamic factor model and mixed data sampling were applied to three sets of variables; namely, macroeconomic, financial, and Google Trends. We find that both methods captured several economic expansions and contractions, including the recent downturn during the COVID-19 pandemic. By including the pandemic period, accuracy across the same set of variables and provinces was slightly reduced.