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

Quamrul Ashraf, Boris Gershman and Peter Howitt ()

No 2013-12, Department of Economics Working Papers from Department of Economics, Williams College

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.

Keywords: Agent-based computational model; trend inflation; price dispersion; firm turnover (search for similar items in EconPapers)
Pages: 34 pages
Date: 2011-08, Revised 2014-03
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Citations: View citations in EconPapers (15)

Published in Macroeconomic Dynamics, March 2016, 20(S2), pp. 558-581.

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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 (2013)
Working Paper: How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation (2012)
Working Paper: How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation (2012)
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