Federal Reserve Bank of Cleveland
Working Papers (Old Series)
Forecasting Inflation: Phillips Curve Effects on Services Price Measures
We estimate an empirical model of inflation that exploits a Phillips curve relationship between a measure of unemployment and a subaggregate measure of inflation (services). We generate an aggregate inflation forecast from forecasts of the goods subcomponent separate from the services subcomponent, and compare the aggregated forecast to the leading time-series univariate and standard Phillips curve forecasting models. Our results indicate notable improvements in forecasting accuracy statistics for models that exploit relationships between services inflation and the unemployment rate. In addition, models of services inflation using the short-term unemployment rate (less than 27 weeks) as the real economic indicator display additional modest forecast accuracy improvements.
Cite this item
Ellis W. Tallman & Saeed Zaman, Forecasting Inflation: Phillips Curve Effects on Services Price Measures, Federal Reserve Bank of Cleveland, Working Papers (Old Series) 1519, 14 Oct 2015.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
Keywords: Inflation forecasting; Phillips curve; disaggregated inflation forecasting models; trend-cycle model
This item with handle RePEc:fip:fedcwp:1519
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