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Forecasting Inflation: the Relevance of Higher Moments Author info | Abstract | Publisher info | Download info | Related research | Statistics Jane M. Binner (Aston University)
C. Thomas Elger (Lund University)
Barry E. Jones (SUNY Binghamton)
Birger Nilsson (Lund University)
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We provide evidence that higher moments of the relative price distribution improve out-of-sample forecasts of inflation. Further, we show how theoretically consistent higher moments can be calculated by expanding the seminal work by Theil (1967). Results presented here are of direct relevance to monetary authorities, policy analysts and academic economists
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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number
407.
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Date of creation: 04 Jul 2006Date of revision:
Handle: RePEc:sce:scecfa:407Contact details of provider: Email: Web page: http://comp-econ.org/ More information through EDIRC
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Keywords: relative price distribution ; higher moments ; out-of-sample inflation forecasting ; Other versions of this item:
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation E27 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation
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