{"title":"经济周期分析的结构时间序列模型","authors":"Tommaso Proietti","doi":"10.2139/ssrn.1114854","DOIUrl":null,"url":null,"abstract":"The chapter deals with parametric models for the measurement of the business cycle in economic time series. It presents univariate methods based on parametric trend-cycle decompositions and multivariate models featuring a Phillips-type relationship between the output gap and inflation and the estimation of the gap using mixed frequency data. We finally address the issue of assessing the accuracy of the output gap estimates.","PeriodicalId":416571,"journal":{"name":"CEIS: Centre for Economic & International Studies Working Paper Series","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Structural Time Series Models for Business Cycle Analysis\",\"authors\":\"Tommaso Proietti\",\"doi\":\"10.2139/ssrn.1114854\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The chapter deals with parametric models for the measurement of the business cycle in economic time series. It presents univariate methods based on parametric trend-cycle decompositions and multivariate models featuring a Phillips-type relationship between the output gap and inflation and the estimation of the gap using mixed frequency data. We finally address the issue of assessing the accuracy of the output gap estimates.\",\"PeriodicalId\":416571,\"journal\":{\"name\":\"CEIS: Centre for Economic & International Studies Working Paper Series\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CEIS: Centre for Economic & International Studies Working Paper Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1114854\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CEIS: Centre for Economic & International Studies Working Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1114854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Structural Time Series Models for Business Cycle Analysis
The chapter deals with parametric models for the measurement of the business cycle in economic time series. It presents univariate methods based on parametric trend-cycle decompositions and multivariate models featuring a Phillips-type relationship between the output gap and inflation and the estimation of the gap using mixed frequency data. We finally address the issue of assessing the accuracy of the output gap estimates.