IDEAS home Printed from https://ideas.repec.org/p/ags/feemwp/324171.html
   My bibliography  Save this paper

Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area

Author

Listed:
  • Turco, Enrico
  • Bazzana, Davide
  • Rizzati, Massimiliano
  • Ciola, Emanuele
  • Vergalli, Sergio

Abstract

Soaring energy prices since fall 2021 have prompted European governments to introduce policy measures to support households and businesses. In this paper, we employ the MATRIX model, a multi-sector and multi-agent macroeconomic model calibrated on the Euro Area, to analyze the economic and distributional effects of different types of macro-stabilization policies in response to energy price shocks. Simulation results show that, in the absence of stabilization policies, an increase in fossil fuel price would lead to a sharp growth in price inflation and a severe contraction in real GDP, followed by a slow but steady recovery. We find no significant effects of generalized tax cuts and household subsidies, while firm subsidies promote a faster recovery but at the expense of greater financial instability in the medium term due to the resulting market distortions. If timely adopted, government-funded energy tariff reduction is the most effective policy in mitigating GDP losses at relatively low public costs, especially if coupled with an extra-profit tax on energy firms. Energy entrepreneurs benefit from rising fuel prices in all policy scenarios, but to a lesser extent under energy tariff cuts and windfall profits tax, favouring, in that case, workers and downstream firms owners.

Suggested Citation

  • Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," FEEM Working Papers 324171, Fondazione Eni Enrico Mattei (FEEM).
  • Handle: RePEc:ags:feemwp:324171
    DOI: 10.22004/ag.econ.324171
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/324171/files/NDL2022-025.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.324171?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Frank Smets & Raf Wouters, 2005. "Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 161-183.
    2. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    3. 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.
    4. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    5. Mattia Guerini & Lionel Nesta & Xavier Ragot & Stefano Schiavo, 2022. "The Zombification of the Economy? Assessing the Effectiveness of French Government Support During COVID-19 Lockdown," GREDEG Working Papers 2022-24, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    6. Eastwood, Robert K, 1992. "Macroeconomic Impacts of Energy Shocks," Oxford Economic Papers, Oxford University Press, vol. 44(3), pages 403-425, July.
    7. Olivier J. Blanchard & Jordi Gali, 2007. "The Macroeconomic Effects of Oil Shocks: Why are the 2000s So Different from the 1970s?," NBER Working Papers 13368, National Bureau of Economic Research, Inc.
    8. 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.
    9. 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.
    10. Taylor, John B. & Williams, John C., 2010. "Simple and Robust Rules for Monetary Policy," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 15, pages 829-859, Elsevier.
    11. Verbruggen, Aviel, 2008. "Windfalls and other profits," Energy Policy, Elsevier, vol. 36(9), pages 3249-3251, September.
    12. Alessandro Caiani & Alberto Russo & Mauro Gallegati, 2019. "Does inequality hamper innovation and growth? An AB-SFC analysis," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 177-228, March.
    13. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2020. "Climate change and green transitions in an agent-based integrated assessment model," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    14. Ben S. Bernanke & Mark Gertler & Mark Watson, 1997. "Systematic Monetary Policy and the Effects of Oil Price Shocks," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1), pages 91-157.
    15. Kilian, Lutz & Zhou, Xiaoqing, 2022. "The impact of rising oil prices on U.S. inflation and inflation expectations in 2020–23," Energy Economics, Elsevier, vol. 113(C).
    16. van de Ven, Dirk Jan & Fouquet, Roger, 2017. "Historical energy price shocks and their changing effects on the economy," Energy Economics, Elsevier, vol. 62(C), pages 204-216.
    17. Lamperti, Francesco & Bosetti, Valentina & Roventini, Andrea & Tavoni, Massimo & Treibich, Tania, 2021. "Three green financial policies to address climate risks," Journal of Financial Stability, Elsevier, vol. 54(C).
    18. James Yetman, 2017. "The evolution of inflation expectations in Canada and the US," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(3), pages 711-737, August.
    19. Dosi, Giovanni & Fagiolo, Giorgio & Napoletano, Mauro & Roventini, Andrea, 2013. "Income distribution, credit and fiscal policies in an agent-based Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1598-1625.
    20. Anton Nakov & Andrea Pescatori, 2010. "Oil and the Great Moderation," Economic Journal, Royal Economic Society, vol. 120(543), pages 131-156, March.
    21. Emanuele Ciola & Enrico Turco & Andrea Gurgone & Davide Bazzana & Sergio Vergalli & Francesco Menoncin, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," Working Papers 2022.09, Fondazione Eni Enrico Mattei.
    22. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    23. Acurio Vásconez, Verónica & Giraud, Gaël & Mc Isaac, Florent & Pham, Ngoc-Sang, 2015. "The effects of oil price shocks in a new-Keynesian framework with capital accumulation," Energy Policy, Elsevier, vol. 86(C), pages 844-854.
    24. Liu, Jing-Yu & Lin, Shih-Mo & Xia, Yan & Fan, Ying & Wu, Jie, 2015. "A financial CGE model analysis: Oil price shocks and monetary policy responses in China," Economic Modelling, Elsevier, vol. 51(C), pages 534-543.
    25. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 67-116.
    26. Aaron Mehrotra & James Yetman, 2018. "Decaying Expectations: What Inflation Forecasts Tell Us about the Anchoring of Inflation Expectations," International Journal of Central Banking, International Journal of Central Banking, vol. 14(5), pages 55-101, December.
    27. Plante, Michael, 2014. "The long-run macroeconomic impacts of fuel subsidies," Journal of Development Economics, Elsevier, vol. 107(C), pages 129-143.
    28. Nathan S. Balke & Stephen P. A. Brown & Mine K. Yücel, 2010. "Oil price shocks and U.S. economic activity: an international perspective," Working Papers 1003, Federal Reserve Bank of Dallas.
    29. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2010. "The financial accelerator in an evolving credit network," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1627-1650, September.
    30. Christiane Baumeister & Lutz Kilian, 2016. "Forty Years of Oil Price Fluctuations: Why the Price of Oil May Still Surprise Us," Journal of Economic Perspectives, American Economic Association, vol. 30(1), pages 139-160, Winter.
    31. Aldasoro, Iñaki & Delli Gatti, Domenico & Faia, Ester, 2017. "Bank networks: Contagion, systemic risk and prudential policy," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 164-188.
    32. Pascal Jacquinot & Mika Kuismanen & Ricardo Mestre & Martin Spitzer, 2009. "An Assessment of the Inflationary Impact of Oil Shocks in the Euro Area," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 49-84.
    33. repec:hal:spmain:info:hdl:2441/5hussro0tc951q0jqpu8quliqu is not listed on IDEAS
    34. Hötte, Kerstin, 2020. "How to accelerate green technology diffusion? Directed technological change in the presence of coevolving absorptive capacity," Energy Economics, Elsevier, vol. 85(C).
    35. Olivier J. Blanchard & Jordi Galí, 2007. "The Macroeconomic Effects of Oil Price Shocks: Why Are the 2000s so Different from the 1970s?," NBER Chapters, in: International Dimensions of Monetary Policy, pages 373-421, National Bureau of Economic Research, Inc.
    36. Philip K. Verleger, Jr., 1980. "An Assessment of the Effects of the Windfall Profits Tax on Crude Oil Supply," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 41-58.
    37. AydIn, Levent & Acar, Mustafa, 2011. "Economic impact of oil price shocks on the Turkish economy in the coming decades: A dynamic CGE analysis," Energy Policy, Elsevier, vol. 39(3), pages 1722-1731, March.
    38. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
    39. Gertler, Mark & Kiyotaki, Nobuhiro, 2010. "Financial Intermediation and Credit Policy in Business Cycle Analysis," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 11, pages 547-599, Elsevier.
    40. Lutz Kilian, 2008. "The Economic Effects of Energy Price Shocks," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 871-909, December.
    41. Domenico Delli Gatti & Severin Reissl, 2022. "Agent-Based Covid economics (ABC): Assessing non-pharmaceutical interventions and macro-stabilization policies [Optimal Targeted Lockdowns in a Multi-Group SIR Model]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 410-447.
    42. 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.
    43. Lengnick, Matthias, 2013. "Agent-based macroeconomics: A baseline model," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 102-120.
    44. De Grauwe, Paul & Macchiarelli, Corrado, 2015. "Animal spirits and credit cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 59(C), pages 95-117.
    45. Jihad Dagher & Jan Gottschalk & Mr. Rafael A Portillo, 2010. "Oil Windfalls in Ghana: A DSGE Approach," IMF Working Papers 2010/116, International Monetary Fund.
    46. Burke, Paul J. & Csereklyei, Zsuzsanna, 2016. "Understanding the energy-GDP elasticity: A sectoral approach," Energy Economics, Elsevier, vol. 58(C), pages 199-210.
    47. Domenico Delli Gatti & Severin Reissl & Enrico Turco, 2023. "V for vaccines and variants," Journal of Evolutionary Economics, Springer, vol. 33(4), pages 991-1046, September.
    48. Castelnuovo, Efrem, 2003. "Taylor rules, omitted variables, and interest rate smoothing in the US," Economics Letters, Elsevier, vol. 81(1), pages 55-59, October.
    49. Gaffeo, Edoardo & Gallegati, Mauro & Palestrini, Antonio, 2003. "On the size distribution of firms: additional evidence from the G7 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 117-123.
    50. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "An Agent-based Stock-flow Consistent Model of the Sustainable Transition in the Energy Sector," Ecological Economics, Elsevier, vol. 145(C), pages 274-300.
    51. Binder, Carola Conces, 2018. "Inflation expectations and the price at the pump," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 1-18.
    52. Finn, Mary G, 2000. "Perfect Competition and the Effects of Energy Price Increases on Economic Activity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 400-416, August.
    53. Simon C. Parker, 1998. "Income Inequality and The Business Cycle: A Survey of The Evidence and Some New Results," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 21(2), pages 201-225, December.
    54. Robert S. Pindyck, 1980. "Energy Price Increases and Macroeconomic Policy," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-20.
    55. Christophe Deissenberg & Sander van Der Hoog & Herbert Dawid, 2008. "EURACE: A Massively Parallel Agent-Based Model of the European Economy," Working Papers halshs-00339756, HAL.
    56. Domenico Gatti & Saul Desiderio, 2015. "Monetary policy experiments in an agent-based model with financial frictions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 265-286, October.
    57. Doroodian, K. & Boyd, Roy, 2003. "The linkage between oil price shocks and economic growth with inflation in the presence of technological advances: a CGE model," Energy Policy, Elsevier, vol. 31(10), pages 989-1006, August.
    58. Assenza, Tiziana & Delli Gatti, Domenico & Grazzini, Jakob, 2015. "Emergent dynamics of a macroeconomic agent based model with capital and credit," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 5-28.
    59. Rotemberg, Julio J & Woodford, Michael, 1996. "Imperfect Competition and the Effects of Energy Price Increases on Economic Activity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(4), pages 550-577, November.
    60. Alexeev, Michael & Zakharov, Nikita, 2022. "Who profits from windfalls in oil tax revenue? Inequality, protests, and the role of corruption," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 472-492.
    61. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    62. Dawid, H. & Harting, P. & Neugart, M., 2018. "Cohesion policy and inequality dynamics: Insights from a heterogeneous agents macroeconomic model," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 220-255.
    63. repec:hal:spmain:info:hdl:2441/1nlv566svi86iqtetenms15tc4 is not listed on IDEAS
    64. van der Werf, Edwin, 2008. "Production functions for climate policy modeling: An empirical analysis," Energy Economics, Elsevier, vol. 30(6), pages 2964-2979, November.
    65. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    66. Ryan Niladri Banerjee & Boris Hofmann, 2018. "The rise of zombie firms: causes and consequences," BIS Quarterly Review, Bank for International Settlements, September.
    67. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.
    68. Fagan, Gabriel & Henry, Jerome & Mestre, Ricardo, 2005. "An area-wide model for the euro area," Economic Modelling, Elsevier, vol. 22(1), pages 39-59, January.
    69. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
    70. repec:zbw:bofitp:2022_002 is not listed on IDEAS
    71. Herrera, Ana María & Karaki, Mohamad B. & Rangaraju, Sandeep Kumar, 2019. "Oil price shocks and U.S. economic activity," Energy Policy, Elsevier, vol. 129(C), pages 89-99.
    72. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    73. Sander Hoog & Christophe Deissenberg, 2011. "Energy Shocks and Macroeconomic Stabilization Policies in an Agent-Based Macro Model," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 159-181, Springer.
    74. E. Woerdman & O. Couwenberg & A. Nentjes, 2009. "Energy prices and emissions trading: windfall profits from grandfathering?," European Journal of Law and Economics, Springer, vol. 28(2), pages 185-202, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    2. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    3. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," FEEM Working Papers 319877, Fondazione Eni Enrico Mattei (FEEM).
    4. Lamperti, Francesco & Bosetti, Valentina & Roventini, Andrea & Tavoni, Massimo & Treibich, Tania, 2021. "Three green financial policies to address climate risks," Journal of Financial Stability, Elsevier, vol. 54(C).
    5. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 261-283, November.
    6. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    7. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    8. repec:hal:spmain:info:hdl:2441/dcditnq6282sbu1u151qe5p7f is not listed on IDEAS
    9. Francesco Lamperti & Andrea Roventini, 2022. "Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 19(3), pages 357-380, December.
    10. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    11. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2020. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    12. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2020. "Climate change and green transitions in an agent-based integrated assessment model," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    13. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    14. repec:hal:spmain:info:hdl:2441/1j4v8sl4fc9a49ankmnhv6bb6a is not listed on IDEAS
    15. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    17. Barde, Sylvain, 2020. "Macroeconomic simulation comparison with a multivariate extension of the Markov information criterion," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    18. Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
    19. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    20. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    21. Munechika Katayama, 2013. "Declining Effects of Oil Price Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(6), pages 977-1016, September.
    22. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.

    More about this item

    Keywords

    Demand and Price Analysis; Public Economics; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E63 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Comparative or Joint Analysis of Fiscal and Monetary Policy; Stabilization; Treasury Policy
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:feemwp:324171. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/feemmit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.