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

Citations

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Cited by:

  1. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2017. "Taming macroeconomic instability: Monetary and macro-prudential policy interactions in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 117-140.
  2. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Hétérogénéité des agents, interconnexions financières et politique monétaire : une approche non conventionnelle," Revue française d'économie, Presses de Sciences-Po, vol. 0(3), pages 201-231.
  3. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
  4. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," PSE-Ecole d'économie de Paris (Postprint) hal-03399574, HAL.
  5. repec:hal:spmain:info:hdl:2441/5bnglqth5987gaq6dhju3psjn3 is not listed on IDEAS
  6. Richard Bookstaber, 2012. "Using Agent-Based Models for Analyzing Threats to Financial Stability," Working Papers 12-03, Office of Financial Research, US Department of the Treasury.
  7. Isabelle SALLE & Marc-Alexandre SENEGAS & Murat YILDIZOGLU, 2013. "How Transparent About Its Inflation Target Should a Central Bank be? An Agent-Based Model Assessment," Cahiers du GREThA (2007-2019) 2013-24, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
  8. Mattia Guerini & Francesco Lamperti & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2022. "Unconventional monetary policies in an agent-based model with mark-to-market standards," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 73-107, April.
  9. Ooft, Gavin, 2016. "Inflation and Economic Activity in Suriname," EconStor Preprints 215533, ZBW - Leibniz Information Centre for Economics.
  10. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2019. "Monetary policy and large crises in a financial accelerator agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 42-58.
  11. T Assenza & P Colzani & D Delli Gatti & J Grazzini, 2018. "Does fiscal policy matter? Tax, transfer, and spend in a macro ABM with capital and credit," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1069-1090.
  12. Dawid, H. & Harting, P. & Neugart, M., 2014. "Economic convergence: Policy implications from a heterogeneous agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 54-80.
  13. Edoardo Gaffeo & Mauro Gallegati & Umberto Gostoli, 2015. "An agent-based “proof of principle” for Walrasian macroeconomic theory," Computational and Mathematical Organization Theory, Springer, vol. 21(2), pages 150-183, June.
  14. Howitt, Peter & Özak, Ömer, 2014. "Adaptive consumption behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 37-61.
  15. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2017. "Banks, market organization, and macroeconomic performance: An agent-based computational analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 143-180.
  16. Paul Jenkins, 2019. "Into the Unknown: Reflections on Risk, Uncertainty and Monetary Policy Decision-making," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 549, July.
  17. Pavel Koval & Andrey Polbin, 2020. "Estimation of the consumption function of Russian households using RLMS microdata," Economics Bulletin, AccessEcon, vol. 40(3), pages 2254-2261.
  18. Caiani, Alessandro & Catullo, Ermanno & Gallegati, Mauro, 2019. "The effects of alternative wage regimes in a monetary union: A multi-country agent based-stock flow consistent model," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 389-416.
  19. Herbert Dawid & Philipp Harting & Sander Hoog & Michael Neugart, 2019. "Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 467-538, March.
  20. Leonardo Ciambezi & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2023. "Rethinking Inflation in an Agent-Based Macroeconomic Model," GREDEG Working Papers 2023-14, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  21. Emmanuel O. Akande & Elijah O. Akanni & Oyedamola F. Taiwo & Jeremiah D. Joshua & Abel Anthony, 2023. "Predicting inflation component drivers in Nigeria: a stacked ensemble approach," SN Business & Economics, Springer, vol. 3(1), pages 1-32, January.
  22. Kinda Hachem & Jing Cynthia Wu, 2017. "Inflation Announcements and Social Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(8), pages 1673-1713, December.
  23. repec:hal:spmain:info:hdl:2441/5hussro0tc951q0jqpu8quliqu is not listed on IDEAS
  24. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2022. "Dynamic simulation of taxes and welfare benefits by database imputation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA3/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
  25. Isabelle Salle & Marc-Alexandre Sénégas & Murat Yıldızoğlu, 2019. "How transparent about its inflation target should a central bank be?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 391-427, March.
  26. Salle, Isabelle L., 2015. "Modeling expectations in agent-based models — An application to central bank's communication and monetary policy," Economic Modelling, Elsevier, vol. 46(C), pages 130-141.
  27. repec:hal:spmain:info:hdl:2441/1gb0ntthu59j4pgf4ju708hsdv is not listed on IDEAS
  28. Teglio, Andrea & Mazzocchetti, Andrea & Ponta, Linda & Raberto, Marco & Cincotti, Silvano, 2019. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 59-83.
  29. Tweneboah Senzu, Emmanuel, 2020. "Theoretically proposed policy instrument to resolve the negative effect of inflation flow into a positive macroeconomic growth: the case of Sierra Leone economy," MPRA Paper 99402, University Library of Munich, Germany.
  30. Van Son Lai & Xiaoxia Ye & Lu Zhao, 2018. "Are Market Views on Banking Industry Useful for Forecasting Economic Growth?," Working Papers 2018-001, Department of Research, Ipag Business School.
  31. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
  32. Howitt, Peter, 2012. "What have central bankers learned from modern macroeconomic theory?," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 11-22.
  33. Lai, Van Son & Ye, Xiaoxia & Zhao, Lu, 2019. "Are market views on banking industry useful for forecasting economic growth?," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
  34. Adalbert Mayer, 2022. "An Agent-Based Macroeconomic Model with Endogenous Intertemporal Decision Rules," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 548-579, October.
  35. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
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