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The Optimal Monetary Instrument and the (Mis)Use of Causality Tests

Author

Listed:
  • John W. Keating
  • Andrew Lee Smith

Abstract

This paper uses a New-Keynesian model with multiple monetary assets to show that if the choice of instrument is based solely on its propensity to predict macroeconomic targets, a central bank may choose an inferior policy instrument. We compare a standard interest rate rule to a k-percent rule for three alternative monetary aggregates determined within our model: the monetary base, the simple sum measure of money, and the Divisia measure. Welfare results are striking. While the interest rate dominates the other two monetary aggregate k-percent rules, the Divisia k-percent rule outperforms the interest rate rule. Next we study the ability of Granger Causality tests ? in the context of data generated from our model ? to correctly identify welfare improving instruments. All of the policy instruments considered, except for Divisia, Granger Cause both output and prices at extremely high levels of significance. Divisia fails to Granger Cause prices despite the Divisia rule stabilizing inflation better than these alternative policy instruments. The causality results are robust to using a popular version of the Sims Causality test for which we show standard asymptotics remain valid when the variables are integrated, as in our case.

Suggested Citation

  • John W. Keating & Andrew Lee Smith, 2018. "The Optimal Monetary Instrument and the (Mis)Use of Causality Tests," Research Working Paper RWP 18-11, Federal Reserve Bank of Kansas City.
  • Handle: RePEc:fip:fedkrw:rwp18-11
    DOI: 10.18651/RWP2018-11
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    File URL: https://www.kansascityfed.org/documents/495/pdf-The%20Optimal%20Monetary%20Instrument%20and%20the%20(Mis)Use%20of%20Causality%20Tests.pdf
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    Cited by:

    1. Barnett, William A. & Park, Hyun & Park, Sohee, 2021. "The Barnett Critique," MPRA Paper 108413, University Library of Munich, Germany.

    More about this item

    Keywords

    Monetary Policy Instrument; Monetary Aggregates; Granger Causality;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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