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Predicting Inflation: Does The Quantity Theory Help? Author info | Abstract | Publisher info | Download info | Related research | Statistics Lance J. Bachmeier
Norman R. Swanson
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Various inflation forecasting models are compared for the period 1979--2003 using a simulated out-of-sample forecasting framework. Our findings are (1) M2 has marginal predictive content for inflation; (2) it is necessary to allow for the possibility that money, prices, and output are cointegrated; and (3) cointegration vector parameter estimation error is important when making out-of-sample forecasts. Consistent with previous work, we find a structural break in the early 1990s, but the break was easily detected and would not have affected out-of-sample inflation forecasts. Two Monte Carlo experiments that lend credence to our findings are also reported on.(JEL E31, C32) Copyright 2005, Oxford University Press.
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Article provided by Oxford University Press in its journal Economic Inquiry .
Volume (Year): 43 (2005)
Issue (Month): 3 (July)
Pages: 570-585
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Handle: RePEc:oup:ecinqu:v:43:y:2005:i:3:p:570-585Contact details of provider: Postal: Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK Fax: 01865 267 985 Email: Web page: http://ei.oupjournals.org/
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Find related papers by 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
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