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Chakraborty, C. and Joseph, A. (2017) Machine Learning at Central Banks. Bank of England Staff Working Paper No. 674. https://doi.org/10.2139/ssrn.3031796

has been cited by the following article:

• TITLE: Monetary Policy Experiments in an Agent-Based Macroeconomic Model

  AUTHORS: Elder Mauricio Silva, Guilherme Moura, Sergio Da Silva

  KEYWORDS: Agent-Based Macroeconomic Model, Monetary Policy, Financial Crises, Taylor’s Rule, Quantitative Easing, Business Cycles

  JOURNAL NAME: Open Access Library Journal, Vol.8 No.5, May 26, 2021

  ABSTRACT: We consider an interbank market and a central bank in an agent-based macroeconomic model with credit and capital to evaluate the effects of monetary policies—conventional and quantitative easing. We find quantitative easing outperforms Taylor’s rule-style policies in smoothing out the business cycle.