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

Quamrul Ashraf, Boris Gershman and Peter Howitt ()

No 18225, NBER Working Papers from National Bureau of Economic Research, Inc

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 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.

JEL-codes: C63 E00 E31 E50 (search for similar items in EconPapers)
Date: 2012-07
New Economics Papers: this item is included in nep-cmp, nep-mac and nep-mon
Note: EFG ME
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Citations: View citations in EconPapers (6)

Published as Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2016. "How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation," Macroeconomic Dynamics, Cambridge University Press, vol. 20(02), pages 558-581, March.

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Related works:
Journal Article: HOW INFLATION AFFECTS MACROECONOMIC PERFORMANCE: AN AGENT-BASED COMPUTATIONAL INVESTIGATION (2016)
Working Paper: How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation (2014)
Working Paper: How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation (2013)
Working Paper: How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation (2012)
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