Does a factor Phillips curve help? An evaluation of the predictive power for U.S. inflation
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DOI: 10.1007/s00181-010-0352-0
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Citations
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Cited by:
- Sbrana, Giacomo & Silvestrini, Andrea & Venditti, Fabrizio, 2017.
"Short-term inflation forecasting: The M.E.T.A. approach,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 1065-1081.
- Giacomo Sbrana & Andrea Silvestrini & Fabrizio Venditti, 2015. "Short term inflation forecasting: the M.E.T.A. approach," Temi di discussione (Economic working papers) 1016, Bank of Italy, Economic Research and International Relations Area.
- McKnight, Stephen & Mihailov, Alexander & Rumler, Fabio, 2020.
"Inflation forecasting using the New Keynesian Phillips Curve with a time-varying trend,"
Economic Modelling, Elsevier, vol. 87(C), pages 383-393.
- Stephen McKnight & Alexander Mihailov & Kerry Patterson & Fabio Rumler, 2014. "The Predictive Performance of Fundamental Inflation Concepts: An Application to the Euro Area and the United States," Economics Discussion Papers em-dp2014-03, Department of Economics, University of Reading.
- Stephen McKnight & Alexander Mihailov & Fabio Rumler, 2018. "NKPC-Based Inflation Forecasts with a Time-Varying Trend," Serie documentos de trabajo del Centro de Estudios Económicos 2018-05, El Colegio de México, Centro de Estudios Económicos.
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More about this item
Keywords
Phillips curve; Factor analysis; Forecasting; E31; C32;All these keywords.
JEL classification:
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Statistics
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