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Estimating unobservable inflation expectations in the New Keynesian Phillips Curve

dc.contributor.authorRondina, Francesca
dc.date.accessioned2020-04-06T19:25:12Z
dc.date.available2020-04-06T19:25:12Z
dc.date.issued2018
dc.description.abstractThis paper uses an econometric model and Bayesian estimation to reverse engineer the path of inflation expectations implied by the New Keynesian Phillips Curve and the data. The estimated expectations roughly track the patterns of a number of common measures of expected inflation available from surveys or computed from financial data. In particular, they exhibit the strongest correlation with the inflation forecasts of the respondents in the University of Michigan Survey of Consumers. The estimated model also shows evidence of the anchoring of long run inflation expectations to a value that is in the range of the target inflation rate.en_US
dc.identifier.urihttp://hdl.handle.net/10393/40329
dc.identifier.urihttps://doi.org/10.20381/ruor-24562
dc.language.isoenen_US
dc.subjectPhillips curveen_US
dc.subjectexpectationsen_US
dc.subjectsurvey dataen_US
dc.subjectBayesian estimationen_US
dc.titleEstimating unobservable inflation expectations in the New Keynesian Phillips Curveen_US
dc.typeWorking Paperen_US

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