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Nominal GDP targeting rules: can they stabilize the economy?

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Author Info
Todd E. Clark

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Abstract

As the monetary aggregates have become less reliable guides for monetary policy, considerable interest has developed in identifying some other fundamental guide for policy. Many analysts argue that the best guide might be nominal gross domestic product (GDP). Some of these analysts also argue the Federal Reserve should target nominal GDP using one of several possible rules. Such a rule would specify how the Federal Reserve should adjust policy to affect a short-term interest rate in response to deviations of nominal GDP from target.> Clark examines the performance of nominal GDP targeting rules using statistical simulations of the economy. First, he reviews the argument that policymakers should target nominal GDP using a rule. Second, he describes some alternative targeting rules. Finally, he shows how these rules would perform based on simulation analysis of models of the U.S. economy. He concludes that policymakers cannot be certain that a simple nominal GDP targeting rule would improve economic performance.

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Publisher Info
Article provided by Federal Reserve Bank of Kansas City in its journal Economic Review.

Volume (Year): (1994)
Issue (Month): Q III ()
Pages: 11-25
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Handle: RePEc:fip:fedker:y:1994:i:qiii:p:11-25:n:v.79no.3

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Keywords: Gross domestic product;

Cited by:
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  1. Ray C. Fair, 2001. "Actual Federal Reserve policy behavior and interest rate rules," Economic Policy Review, Federal Reserve Bank of New York, issue Mar, pages 61-72. [Downloadable!]
  2. Ray C. Fair & E. Philip Howrey, 1995. "Evaluating Alternative Monetary Policy Rules," Cowles Foundation Discussion Papers 1091, Cowles Foundation, Yale University. [Downloadable!]
    Other versions:
  3. Ray C. Fair, 2000. "Estimated, Calibrated, and Optimal Interest Rate Rules," Cowles Foundation Discussion Papers 1258, Cowles Foundation, Yale University. [Downloadable!]
  4. Ray Fair, 2003. "Optimal Control and Stochastic Simulation of Large Nonlinear Models with Rational Expectations," Computational Economics, Springer, vol. 21(3), pages 245-256, June. [Downloadable!] (restricted)
    Other versions:
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