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Data Revisions, Gradualism, and US Inflation Pressure in Real Time

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  • Pierre L. Siklos

    (Department of Economics and Viessman Research Centre, Wilfrid Laurier University)

  • Diana N. Weymark

    (Department of Economics, Vanderbilt University)

Abstract

Uncertainties associated with the informational content of real-time data and the impact of policy initiatives on expectations have been offered as rationales for gradualism in monetary policy. Our objective is to assess these potential explanations quantitatively. Focusing on inflation as the key variable of interest to central banks, we construct indices of inflation pressure to characterize the state of the economy before and after the implementation of monetary policy. Using six vintages of US data, we analyze changes in the information content of economic data across revisions and the importance of expectations in determining the impact of monetary policy. We find that monetary policy affects inflation pressure and realized inflation primarily through its impact on expectations. We also find that while the Fed manages to influence expectations almost two thirds of the time the impact can be quantitatively small at times. One policy implication is that policy communication perhaps plays an even more crucial role for a gradualist central bank than one might think a priori.

Suggested Citation

  • Pierre L. Siklos & Diana N. Weymark, 2011. "Data Revisions, Gradualism, and US Inflation Pressure in Real Time," Vanderbilt University Department of Economics Working Papers 1110, Vanderbilt University Department of Economics.
  • Handle: RePEc:van:wpaper:1110
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    More about this item

    Keywords

    Inflation pressure; counterfactuals; real time data; gradualism; monetary policy;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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