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  • 标题:How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation
  • 本地全文:下载
  • 作者:Quamrul Ashraf ; Boris Gershman ; Peter Howitt
  • 期刊名称:Economics Working Papers / Brown University
  • 出版年度:2012
  • 出版社:Brown University
  • 摘要:We use an agent-based computational approach to show how in ation can worsen macroeconomic performance by disrupting the mechanism of exchange in a decentralized market economy. We nd that increasing the trend rate of in ation above 3 percent has a substantial deleterious e ect, but lowering it below 3 percent has no signi cant macroeconomic consequences. Our nding remains qualitatively robust to changes in parameter values and to modi cations 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 signi cant negative e ect of trend in ation on output even when such an e ect exists in reality.
  • 关键词:Agent-based computational model; in;ation; price dispersion; rm turnover
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