{"title":"Monetary Policy, Heterogeneous Expectations and Structural Uncertainty","authors":"Tsvetomira Tsenova","doi":"10.2139/ssrn.3043037","DOIUrl":null,"url":null,"abstract":"This paper shows that monetary policy does and should respond systematically to time variation in ex-ante uncertainty and heterogeneity in private sector’s views over the business cycle. Empirical tests are initially conducted on the basis of an augmented forward-looking Taylor rule framework, modified to account for learning and robustness. Normative justification is further provided by evaluating the optimal forecast-based monetary policy response under imperfect knowledge given a set of heterogeneous nested reference structural models, estimated to best fit private sector’s forecasts in addition to contemporaneous data.","PeriodicalId":291048,"journal":{"name":"ERN: Business Fluctuations; Cycles (Topic)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Business Fluctuations; Cycles (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3043037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper shows that monetary policy does and should respond systematically to time variation in ex-ante uncertainty and heterogeneity in private sector’s views over the business cycle. Empirical tests are initially conducted on the basis of an augmented forward-looking Taylor rule framework, modified to account for learning and robustness. Normative justification is further provided by evaluating the optimal forecast-based monetary policy response under imperfect knowledge given a set of heterogeneous nested reference structural models, estimated to best fit private sector’s forecasts in addition to contemporaneous data.