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Does money matter in inflation forecasting?

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Author Info
Jane M. Binner
Peter Tino
Jonathan Tepper
Richard G. Anderson
Barry Jones
Graham Kendall

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Abstract

This paper provides the most fully comprehensive evidence to date on whether or not monetary aggregates are valuable for forecasting US inflation in the early to mid 2000s. We explore a wide range of different definitions of money, including different methods of aggregation and different collections of included monetary assets. In our forecasting experiment we use two non-linear techniques, namely, recurrent neural networks and kernel recursive least squares regression - techniques that are new to macroeconomics. Recurrent neural networks operate with potentially unbounded input memory, while the kernel regression technique is a finite memory predictor. The two methodologies compete to find the best fitting US inflation forecasting models and are then compared to forecasts from a naive random walk model. The best models were non-linear autoregressive models based on kernel methods. Our findings do not provide much support for the usefulness of monetary aggregates in forecasting inflation.

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Paper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number 2009-030.

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Date of creation: 2009
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Handle: RePEc:fip:fedlwp:2009-030

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Related research
Keywords: Forecasting ; Inflation (Finance) ; Monetary theory;

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  8. Barnett, William A & Fisher, Douglas & Serletis, Apostolos, 1992. "Consumer Theory and the Demand for Money," Journal of Economic Literature, American Economic Association, vol. 30(4), pages 2086-2119, December. [Downloadable!] (restricted)
  9. Duca, John V. & VanHoose, David D., 2004. "Recent developments in understanding the demand for money," Journal of Economics and Business, Elsevier, vol. 56(4), pages 247-272. [Downloadable!] (restricted)
  10. J. M. Binner & R. K. Bissoondeeal & A. W. Mullineux, 2005. "A composite leading indicator of the inflation cycle for the Euro area," Applied Economics, Taylor and Francis Journals, vol. 37(11), pages 1257-1266, June. [Downloadable!] (restricted)
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  13. Carlson, John B. & Hoffman, Dennis L. & Keen, Benjamin D. & Rasche, Robert H., 2000. "Results of a study of the stability of cointegrating relations comprised of broad monetary aggregates," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 345-383, October. [Downloadable!] (restricted)
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  14. Charles T. Carlstrom & Timothy S. Fuerst, 2004. "Thinking about Monetary Policy without Money," International Finance, Blackwell Publishing, vol. 7(2), pages 325-347, 07. [Downloadable!] (restricted)
  15. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October. [Downloadable!] (restricted)
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  16. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, 02. [Downloadable!] (restricted)
  17. Elger, Thomas & Jones, Barry E. & Nilsson, Birger, 2006. "Forecasting with Monetary Aggregates: Recent Evidence for the United States," Journal of Economics and Business, Elsevier, vol. 58(5-6), pages 428-446. [Downloadable!] (restricted)
  18. Nelson, Edward, 2003. "The Future of Monetary Aggregates in Monetary Policy Analysis," CEPR Discussion Papers 3897, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  19. Diewert, W E, 1974. "Intertemporal Consumer Theory and the Demand for Durables," Econometrica, Econometric Society, vol. 42(3), pages 497-516, May. [Downloadable!] (restricted)
  20. Estrella, Arturo & Mishkin, Frederic S., 1997. "Is there a role for monetary aggregates in the conduct of monetary policy?," Journal of Monetary Economics, Elsevier, vol. 40(2), pages 279-304, October. [Downloadable!] (restricted)
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  21. Nelson, Edward, 2002. "Direct effects of base money on aggregate demand: theory and evidence," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 687-708, May. [Downloadable!] (restricted)
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  22. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May. [Downloadable!] (restricted)
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