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Extending the New Keynesian Monetary Model with Information Revision Processes: Real-time and Revised Data

Author

Listed:
  • María-Dolores, Ramon
  • Vazquez, Jesus
  • Londoño, Juan M.

    (Departamentos y Servicios::Departamentos de la UMU::Fundamentos del Análisis Económico)

Abstract

This paper proposes an extended version of the New Keynesian Monetary (NKM) model which contemplates revision processes of output and inflation data in order to assess the influence of data revisions on the estimated monetary policy rule parameters. In line with the evidence provided by Aruoba (2008), by using the indirect inference principle, we observe that real-time data are not rational forecasts of revised data. This result along with the differences observed when estimating a model restricted to white noise revision processes provide evidence that policymakers decisions could be determined by the availability of data at the time of policy implementation.

Suggested Citation

  • María-Dolores, Ramon & Vazquez, Jesus & Londoño, Juan M., 2009. "Extending the New Keynesian Monetary Model with Information Revision Processes: Real-time and Revised Data," UMUFAE Economics Working Papers 4695, DIGITUM. Universidad de Murcia.
    • Handle: RePEc:mur:wpaper:4695
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    References listed on IDEAS

    as
    1. English William B. & Nelson William R. & Sack Brian P., 2003. "Interpreting the Significance of the Lagged Interest Rate in Estimated Monetary Policy Rules," The B.E. Journal of Macroeconomics, De Gruyter, vol. 3(1), pages 1-18, April.
    2. Duffie, Darrell & Singleton, Kenneth J, 1993. "Simulated Moments Estimation of Markov Models of Asset Prices," Econometrica, Econometric Society, vol. 61(4), pages 929-952, July.
    3. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    4. Eric Ghysels & Norman R. Swanson & Myles Callan, 2002. "Monetary Policy Rules with Model and Data Uncertainty," Southern Economic Journal, Southern Economic Association, vol. 69(2), pages 239-265, October.
    5. Stark, Tom & Croushore, Dean, 2002. "Forecasting with a real-time data set for macroeconomists," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 507-531, December.
    6. S. Borağan Aruoba, 2008. "Data Revisions Are Not Well Behaved," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 319-340, March.
    7. Francis X. Diebold & Glenn D. Rudebusch, 1989. "Forecasting output with the composite leading index: an ex ante analysis," Finance and Economics Discussion Series 90, Board of Governors of the Federal Reserve System (U.S.).
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    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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