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Does money matter in inflation forecasting?

  • Binner, J.M.
  • Tino, P.
  • Tepper, J.
  • Anderson, R.
  • Jones, B.
  • Kendall, G.

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 nonlinear 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 naïve random walk model. The best models were nonlinear autoregressive models based on kernel methods. Our findings do not provide much support for the usefulness of monetary aggregates in forecasting inflation. Beyond its economic findings, our study is in the tradition of physicists’ long-standing interest in the interconnections among statistical mechanics, neural networks, and related nonparametric statistical methods, and suggests potential avenues of extension for such studies.

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Article provided by Elsevier in its journal Physica A: Statistical Mechanics and its Applications.

Volume (Year): 389 (2010)
Issue (Month): 21 ()
Pages: 4793-4808

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Handle: RePEc:eee:phsmap:v:389:y:2010:i:21:p:4793-4808
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  1. John B. Carlson & Dennis L. Hoffman & Benjamin D. Keen & Robert H. Rasche, 1999. "Results of a study of the stability of cointegrating relations comprised of broad monetary aggregates," Working Paper 9917, Federal Reserve Bank of Cleveland.
  2. Binner, Jane M. & Elger, C. Thomas & Nilsson, Birger & Tepper, Jonathan A., 2006. "Predictable non-linearities in U.S. inflation," Economics Letters, Elsevier, vol. 93(3), pages 323-328, December.
  3. Jane M. Binner & Stuart I. Wattam, 2003. "A new composite leading indicator of inflation for the UK: a Kalman filter approach," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 5(2), pages 242-264.
  4. Eric M. Leeper & Jennifer E. Roush, 2003. "Putting 'M' back in Monetary Policy," NBER Working Papers 9552, National Bureau of Economic Research, Inc.
  5. Moshiri, Saeed & Cameron, Norman E & Scuse, David, 1999. "Static, Dynamic, and Hybrid Neural Networks in Forecasting Inflation," Computational Economics, Society for Computational Economics, vol. 14(3), pages 219-35, December.
  6. Charles T. Carlstrom & Timothy S. Fuerst, 2004. "Thinking about Monetary Policy without Money," International Finance, Wiley Blackwell, vol. 7(2), pages 325-347, 07.
  7. Stefano Galluccio & Jean-Philippe Bouchaud & Marc Potters, 1998. "Rational Decisions, Random Matrices and Spin Glasses," Papers cond-mat/9801209,
  8. Arturo Estrella & Frederic S. Mishkin, 1996. "Is There a Role for Monetary Aggregates in the Conduct of Monetary Policy?," NBER Working Papers 5845, National Bureau of Economic Research, Inc.
  9. Richard G. Anderson & Robert H. Rasche, 2000. "Retail sweep programs and bank reserves, 1994--1999," Working Papers 2000-023, Federal Reserve Bank of St. Louis.
  10. Richard G. Anderson & Barry E. Jones & Travis D. Nesmith, 1996. "Monetary aggregation theory and statistical index numbers," Working Papers 1996-007, Federal Reserve Bank of St. Louis.
  11. 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.
  12. Andrew Ang & Monika Piazzesi & Min Wei, 2003. "What does the yield curve tell us about GDP growth?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
  13. 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.
  14. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
  15. Drake, L. & Mullineux, A., 1995. "One Divisa Money for Europe?," Discussion Papers 95-04, Department of Economics, University of Birmingham.
  16. William Barnett & Shu Wu, 2004. "On user costs of risy monetary assets," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200404, University of Kansas, Department of Economics, revised Jun 2004.
  17. 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.
  18. Jane Binner & Rakesh Bissoondeeal & Andrew Mullineux, 2004. "A Composite Leading Indicator of the Inflation Cycle for the Euro Area," Money Macro and Finance (MMF) Research Group Conference 2004 24, Money Macro and Finance Research Group.
  19. Arturo Estrella, 2005. "Why Does the Yield Curve Predict Output and Inflation?," Economic Journal, Royal Economic Society, vol. 115(505), pages 722-744, 07.
  20. Emi Nakamura, 2008. "Pass-Through in Retail and Wholesale," NBER Working Papers 13965, National Bureau of Economic Research, Inc.
  21. Diewert, W E, 1974. "Intertemporal Consumer Theory and the Demand for Durables," Econometrica, Econometric Society, vol. 42(3), pages 497-516, May.
  22. Barnett, William A, 1982. "The Optimal Level of Monetary Aggregation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 14(4), pages 687-710, November.
  23. Thomas D. Simpson, 1980. "The redefined monetary aggregates," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Feb, pages 97-114.
  24. Nelson, Edward, 2003. "The future of monetary aggregates in monetary policy analysis," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 1029-1059, July.
  25. Zhang, Guoqiang & Eddy Patuwo, B. & Y. Hu, Michael, 1998. "Forecasting with artificial neural networks:: The state of the art," International Journal of Forecasting, Elsevier, vol. 14(1), pages 35-62, March.
  26. James H. Stock & Mark W. Watson, 2006. "Why Has U.S. Inflation Become Harder to Forecast?," NBER Working Papers 12324, National Bureau of Economic Research, Inc.
  27. Hakan Berument & Ebru Yuksel, 2007. "Effects of Adopting Inflation Targeting Regimes on Inflation Variability," Working Papers 0702, Department of Economics, Bilkent University.
  28. Berument, Hakan & Nergiz Dincer, N., 2005. "Inflation and inflation uncertainty in the G-7 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 348(C), pages 371-379.
  29. J. M. Binner & A. Fielding & A. W. Mullineux, 1999. "Divisia money in a composite leading indicator of inflation," Applied Economics, Taylor & Francis Journals, vol. 31(8), pages 1021-1031.
  30. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, June.
  31. Vasiliki Plerou & Parameswaran Gopikrishnan & Bernd Rosenow & Luis A. Nunes Amaral & H. Eugene Stanley, 1999. "Universal and non-universal properties of cross-correlations in financial time series," Papers cond-mat/9902283,
  32. Jones, Barry E. & Dutkowsky, Donald H. & Elger, Thomas, 2005. "Sweep programs and optimal monetary aggregation," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 483-508, February.
  33. Leigh Drake & Andy Mullineux & Juda Agung, 1997. "One Divisia money for Europe?," Applied Economics, Taylor & Francis Journals, vol. 29(6), pages 775-786.
  34. James H. Stock & Mark W. Watson, 1999. "Forecasting Inflation," NBER Working Papers 7023, National Bureau of Economic Research, Inc.
  35. Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-11.
  36. 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.
  37. Todd E. Clark, 1999. "A comparison of the CPI and the PCE price index," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 15-29.
  38. Schunk, Donald L, 2001. "The Relative Forecasting Performance of the Divisia and Simple Sum Monetary Aggregates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 33(2), pages 272-83, May.
  39. Hulten, Charles R, 1973. "Divisia Index Numbers," Econometrica, Econometric Society, vol. 41(6), pages 1017-25, November.
  40. Plerou, Vasiliki & Gopikrishnan, Parameswaran & Rosenow, Bernd & Amaral, Luis A.N. & Stanley, H.Eugene, 2000. "Econophysics: financial time series from a statistical physics point of view," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 279(1), pages 443-456.
  41. Bachmeier, Lance & Leelahanon, Sittisak & Li, Qi, 2007. "Money Growth And Inflation In The United States," Macroeconomic Dynamics, Cambridge University Press, vol. 11(01), pages 113-127, February.
  42. Andrews, Donald W.K., 1995. "Nonparametric Kernel Estimation for Semiparametric Models," Econometric Theory, Cambridge University Press, vol. 11(03), pages 560-586, June.
  43. Barnett, William A., 1980. "Economic monetary aggregates an application of index number and aggregation theory," Journal of Econometrics, Elsevier, vol. 14(1), pages 11-48, September.
  44. Donald H. Dutkowsky & Barry Z. Cynamon & Barry E. Jones, 2006. "U.S. Narrow Money for the Twenty-First Century," Economic Inquiry, Western Economic Association International, vol. 44(1), pages 142-152, January.
  45. Leigh Drake & Terence C. Mills, 2005. "A New Empirically Weighted Monetary Aggregate for the United States," Economic Inquiry, Western Economic Association International, vol. 43(1), pages 138-157, January.
  46. James H. Stock & Mark W. Watson, 2007. "Erratum to "Why Has U.S. Inflation Become Harder to Forecast?"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
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