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How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation

Author

Listed:
  • Quamrul Ashraf
  • Boris Gershman
  • Peter Howitt
Abstract
We use an agent-based computational approach to show how inflation can worsen macroeconomic performance by disrupting the mechanism of exchange in a decentralized market economy. We find that, in our model economy, increasing the trend rate of inflation above 3 percent has a substantial deleterious effect, but lowering it below 3 percent has no significant macroeconomic consequences. Our finding remains qualitatively robust to changes in parameter values and to modifications to our model that partly address the Lucas critique. Finally, we contribute a novel explanation for why cross-country regressions may fail to detect a significant negative effect of trend inflation on output even when such an effect exists in reality.

Suggested Citation

  • Quamrul Ashraf & Boris Gershman & Peter Howitt, 2013. "How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation," Working Papers 2013-10, American University, Department of Economics.
  • Handle: RePEc:amu:wpaper:2013-10
    DOI: 10.17606/4wex-t940
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    References listed on IDEAS

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    More about this item

    Keywords

    Agent-based computational model; inflation; price dispersion; firm turnover;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General

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