Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/64442 
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKiefer, Daviden
dc.date.accessioned2012-09-28T12:39:01Z-
dc.date.available2012-09-28T12:39:01Z-
dc.date.issued2010-
dc.identifier.urihttp://hdl.handle.net/10419/64442-
dc.description.abstractOriginally presented as an empirical regularity, a variety of microeconomic derivations of the Phillips tradeoff between inflation and real output have been developed. Since these new Phillips curve models are expressed in terms of unobserved variables and expectations, we develop estimates of these unobservables using a state space characterization of the short-run political-economic equilibrium. This method is appropriate because it yields recursive forecasts based on contemporaneous information, and because we apply it to a real-time data set in order to accurately measure available information. Although none of the new Phillips curve tested are completely adequate, we find that Calvo's sticky price formulation provides the best fit for US data. It is inadequate because the estimate coefficient for the driving variable (either the output gap or the marginal cost) is essentially zero.en
dc.language.isoengen
dc.publisher|aThe University of Utah, Department of Economics |cSalt Lake City, UTen
dc.relation.ispartofseries|aWorking Paper |x2010-03en
dc.subject.jelE3en
dc.subject.jelE6en
dc.subject.ddc330en
dc.subject.keywordnew Phillips curveen
dc.subject.keywordmicrofoundationsen
dc.subject.keywordreal-time dataen
dc.subject.stwPhillips-Kurveen
dc.subject.stwErwartungstheorieen
dc.subject.stwTheorieen
dc.subject.stwSchätzungen
dc.subject.stwUSAen
dc.titleAlternative Phillips curves models with endogenous real-time expectations-
dc.typeWorking Paperen
dc.identifier.ppn625044037en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

Files in This Item:
File
Size
878.83 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.