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Output Variability and the Money-Output Relationship

Author

Listed:
  • Hany Guirguis

    (Department of Economics and Finance, Manhattan College, U.S.A.)

  • Martin B. Schmidt

    (Department of Economics, College of William and Mary, U.S.A.)

Abstract

The present paper incorporates a rolling regression approach to examine the sensitivity of output responses to monetary shocks. In doing so, the paper finds that the impact of monetary shocks is highly variable. Specifically, the output responses are estimated to be significant during the 1970s and 1990s but not during the 1980s. Several recent authors have suggested that the effectiveness of monetary policy is impacted by the stability of the economic environment, i.e., that the noise associated with estimating the true output level makes it difficult for the monetary authority to ¡§hit its target¡¨ or even to estimate the correct target. In this case, supposed optimal policy may produce any number of possible output responses and none of these consistently. The present results provide additional evidence, as the magnitude of output response appears to be negatively related with the degree of output variability.

Suggested Citation

  • Hany Guirguis & Martin B. Schmidt, 2005. "Output Variability and the Money-Output Relationship," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 4(1), pages 53-66, April.
  • Handle: RePEc:ijb:journl:v:4:y:2005:i:1:p:53-66
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    References listed on IDEAS

    as
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    1. Juan A. Montecino & Gerald Epstein, 2014. "Intra-Financial Lending, Credit, and Capital Formation," Working Papers Series 21, Institute for New Economic Thinking.

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    More about this item

    Keywords

    monetary shocks; money-income relationship; rolling vector auto regression (VAR);
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • 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

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