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Explaining the lead–lag pattern in the money–inflation relationship: a microsimulation approach

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  • Elena Deryugina

    (Bank of Russia)

  • Alexey Ponomarenko

    (Bank of Russia)

Abstract

We set up an agent-based model where the parameters of firms’ pricing heuristics are determined through evolutionary learning. We argue that there are several key ingredients that result in the emergence of the lead–lag pattern in the money growth–inflation relationship. First, a realistic representation of money creation through a lending mechanism is essential. Second, there must be considerable heterogeneity in the distribution of newly created deposits and in the associated changes in demand at the individual firm level.

Suggested Citation

  • Elena Deryugina & Alexey Ponomarenko, 2021. "Explaining the lead–lag pattern in the money–inflation relationship: a microsimulation approach," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1113-1128, September.
  • Handle: RePEc:spr:joevec:v:31:y:2021:i:4:d:10.1007_s00191-021-00741-8
    DOI: 10.1007/s00191-021-00741-8
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    More about this item

    Keywords

    Money supply; Inflation; Cantillion effects; Evolutionary learning; Agent-based model;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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