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dc.contributor.advisorAhmed, Yamin
dc.contributor.advisorGuo, Nick
dc.contributor.advisorErsal, Eylem
dc.contributor.authorKick, Dalton
dc.date.accessioned2018-05-30T15:24:56Z
dc.date.available2018-05-30T15:24:56Z
dc.date.issued2017-11
dc.identifier.urihttp://digital.library.wisc.edu/1793/78471
dc.descriptionThis file was last viewed in Microsoft Edge.en
dc.description.abstractI utilize and compare several common inflation forecasting models, including traditional Phillips curve models and the New Keynesian Phillips curve, as well as several other time series models. I evaluate these models using RMSE over several forecast horizons, using three different measures of inflation: CPI inflation, PPI inflation, and GDP deflator inflation. I find that the theoretical Phillips curve models outperform other time series models, however, the performance is sensitive to the inflation measure used in estimation.en
dc.language.isoen_USen
dc.publisherUniversity of Wisconsin--Whitewateren
dc.subjectInflation (Finance)--United States--Forecastingen
dc.subjectInflation (Finance)--United States--Mathematical modelsen
dc.subjectPhillips curveen
dc.titleForecasting US inflation : Phillips curve, New Keynesian Phillips curve, or something else?en
dc.typeThesisen


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