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Sequential Information Flow and Real-Time Diagnosis of Swiss Inflation: Intra-Monthly DCF Estimates for a Low-Inflation Environment

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  • Amstad, Marlene
  • Fischer, Andreas M

Abstract

The timely release of macroeconomic data imposes a distinct structure on the panel: the clustering and sequential ordering of real and nominal variables. We call this orderly release of economic data sequential information flow. The ordered panel generates a new class of restrictions that are helpful in interpreting the real-time estimates of monthly core inflation through the identification of turning points and structural shocks. After establishing the sought-after properties (of smoothness, stability, and forecasting) for core inflation, we turn to the discussion of real-time diagnosis for a low inflation environment. This is done in the context of weekly estimates of Swiss inflation. The intra-monthly estimates for core inflation find that it is worthwhile to update this measure at least twice a month.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 4627.

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Date of creation: Sep 2004
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Handle: RePEc:cpr:ceprdp:4627

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Keywords: common factors; inflation; sequential information flow;

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References

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Citations

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Cited by:
  1. Marlene Amstad & Andreas M. Fischer, 2006. "Time-Varying Pass-Through from Import Prices to Consumer Prices: Evidence from an Event Study with Real-Time Data," Working Papers 2006-06, Swiss National Bank.
  2. Amstad, Marlene & Fischer, Andreas M, 2005. "Shock Identification of Macroeconomic Forecasts Based on Daily Panels," CEPR Discussion Papers 5008, C.E.P.R. Discussion Papers.
  3. Domenico Giannone & Troy D. Matheson, 2007. "A New Core Inflation Indicator for New Zealand," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 145-180, December.
  4. Michael P. Clements & David F. Hendry, 2005. "Guest Editors' Introduction: Information in Economic Forecasting," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 713-753, December.
  5. Amstad, Marlene & Potter, Simon M. & Rich, Robert W., 2014. "The FRBNY staff underlying inflation gauge: UIG," Staff Reports 672, Federal Reserve Bank of New York.
  6. Amstad, Marlene & Fischer, Andreas M., 2010. "Monthly pass-through ratios," Journal of Economic Dynamics and Control, Elsevier, vol. 34(7), pages 1202-1213, July.

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