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Kompleksite Makro İktisadı: Ajan Bazlı Bir Model

Yıl 2025, Cilt: 10 Sayı: 4, 1782 - 1807, 31.12.2025
https://doi.org/10.30784/epfad.1777353

Öz

Bu çalışma, kompleksite iktisadının özellikle makro iktisat alanına sunduğu temel argümanlar doğrultusunda geliştirilen temel bir ajan bazlı makroekonomik model sunmayı amaçlamaktadır. Yerleşik makroekonomik modellerin temsili ajanlar, rasyonel beklentiler ve denge varsayımları üzerine kurulu yapısına karşılık, çalışmada mikro düzeyde heterojen özelliklere sahip ve sınırlı rasyonellikle hareket eden ajanların doğrudan etkileşimleri sonucu ortaya çıkan makroekonomik dinamikler ön plana çıkarılmaktadır. Modelde yer alan ekonomik birimler, sınırlı bilgiye dayalı olarak çevresel koşullarını değerlendirmekte ve sezgisel davranış kuralları çerçevesinde kararlarını şekillendirmektedir. Bu çerçevede piyasalar, önceden tanımlanmış bir denge durumuna ulaşma zorunluluğu olmaksızın, ajanlar arası kompleks etkileşimlerin sonucu olarak kendiliğinden örgütlenen ve evrimsel olarak gelişen yapılar olarak ele alınmaktadır. Elde edilen bulgular, klasik denge temelli yaklaşımların ötesine geçilerek ekonomik sistemin daha gerçekçi, dinamik ve kapsayıcı bir biçimde kavramaya olanak tanıyan bir çerçevenin mümkün olduğunu ortaya koymaktadır. Bu durum, kompleksite iktisadının, özellikle kriz, belirsizlik dönemleri gibi düzensizlik içeren ve durağan olmayan süreçlerin analizinde daha işlevsel olabileceğini göstermektedir.

Kaynakça

  • Arthur, W.B. (2015). Complexity and the economy (1. ed.). Oxford University Press.
  • Arthur, W.B., Steven, N.D. and David, A.L. (1997). Process and emergence in the economy. The Economy as an Evolving Complex System II, 1997, 1-14. Retrieved from https://faculty.sites.iastate.edu/
  • Arthur, W.B. (2021). Foundations of complexity economics. Nature Reviews Physics 3(2), 136-45. https://doi:10.1038/s42254-020-00273-3.
  • Axtell, R.L. (2007). What economic agents do: How cognition and interaction lead to emergence and complexity, The Review of Austrian Economics, 20(2-3),105-122. https://doi.org/10.1007/s11138-007-0021-5
  • Blanchard, O. (2018). On the future of macroeconomic models. Oxford Review of Economic Policy, 34(1-2), 43-54. https://doi.org/10.1093/oxrep/grx045
  • Caballero, R.J. (2010). Macroeconomics after the crisis: Time to deal with the pretense-of-knowledge syndrome. Journal of Economic Perspectives 24(4), 85-102. doi:10.1257/jep.24.4.85.
  • Caiani, A., Godin, A., Caverzasi, E., Gallegati, M., Kinsella, S. and Stiglitz. J.E. (2016). Agent based-stock flow consistent macroeconomics: Towards a benchmark model. Journal of Economic Dynamics and Control, 69, 375-408. https://doi.org/10.1016/j.jedc.2016.06.001
  • Caiani, A., Russo, A. and Gallegati. M. (2019). Does inequality hamper innovation and growth? An AB-SFC analysis. Journal of Evolutionary Economics 29(1), 177-228. https://doi.org/10.1007/s00191-018-0554-8
  • Cincotti, S., Raberto, M. and Teglio, A. (2022). Why do we need agent-based macroeconomics? Review of Evolutionary Political Economy 3(1), 5-29. https://doi.org/10.1007/s43253-022-00071-w
  • Colander, D. (2019). Complexity, the evolution of macroeconomic thought, and micro foundations (Groupe de REcherche en Droit, Economie No. 2019-42). Retrieved from https://www.paecon.net/PAEReview/issue91/Colander91.pdf
  • Colander, D., Holt, R. and Rosser, B. (2004). The changing face of mainstream economics. Review of Political Economy, 16(4), 485-499. https://doi.org/10.1080/0953825042000256702
  • Colander, D., Howitt, P., Kirman, A., Leijonhufvud, A. and Mehrling, P. (2008). Beyond DSGE models: Toward an empirically based macroeconomics. American Economic Review 98(2), 236-40. doi:10.1257/aer.98.2.236
  • Dawid, H. and Delli Gatti, D. (2018). Agent-based macroeconomics. In C.H. Hommes and B. LeBaron (Eds.), Handbook of computational economics (pp. 63–156). Elsevier. https://doi.org/10.1016/bs.hescom.2018.02.006
  • Delli Gatti, D., Di Guilmi, C., Gaffeo, E., Giulioni, G., Gallegati, M. and Palestrini, A. (2005). A new approach to business fluctuations: Heterogeneous interacting agents, scaling laws and financial fragility. Journal of Economic Behavior and Organization, 56(4), 489–512. https://doi.org/10.1016/j.jebo.2003.10.012
  • Delli Gatti, D., Gaffeo, E., Gallegati, M., Giulioni, G., Kirman, A., Palestrini, A. and Russo, A. (2007). Complex dynamics and empirical evidence. Information Sciences, 177(5), 1204-1221. https://doi.org/10.1016/j.ins.2006.08.003
  • Delli Gatti, D., Gallegati, M., Greenwald, B., Russo, A. and Stiglitz, J.E. (2010). The financial accelerator in an evolving credit network. Journal of Economic Dynamics and Control, 34(9), 1627-1650. https://doi.org/10.1016/j.jedc.2010.06.019
  • Dosi, G. and Roventini, A. (2025). Agent-based macroeconomics: The Schumpeter meeting Keynes models. Cambridge: Cambridge University Press.
  • Dosi, G. and Roventini, A. (2019). More is different ... and complex! The case for agent-based macroeconomics. Journal of Evolutionary Economics, 29(1), 1-37. https://doi.org/10.1007/s00191-019-00609-y
  • Eren, E. (2020). Makro iktisat ve kriz: Çözüm Mezo iktisat mı? İktisat ve Toplum, 121, 54-63. Erişim adresi: https://iktisatvetoplum.com/
  • Eren, E. ve Uysal, E. (2017). İktisatta yeni Heterodoks gelişmeler. Kırklareli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(2), 134-151. Erişim adresi: https://dergipark.org.tr/tr/pub/klujfeas/
  • Faggini, M., Bruno, B. and Parziale, A. (2019). Crises in economic complex networks: Black Swans or Dragon Kings? Economic Analysis and Policy, 62, 105-115. https://doi.org/10.1016/j.eap.2019.01.009
  • Fagiolo, G., Dosi, G. and Gabriele, R. (2004). Matching, bargaining, and wage setting in an evolutionary model of labor market and output dynamics. Advances in Complex Systems, 7(02), 157-186. doi:10.1142/S0219525904000135
  • Farmer, J.D. and Foley, D. (2009). The economy needs agent-based modelling. Nature, 460(7256), 685-686. https://doi.org/10.1038/460685a
  • Fierro, L.E. (2020). Three essays in agent-based macroeconomics. Retrieved from https://iris.univpm.it/retrieve/e18b8791-5cd1-d302-e053-1705fe0a27c8/Tesi_Fierro.pdf
  • Foster, J. and Metcalfe, J.S. (2012). Economic emergence: An evolutionary economic perspective. Journal of Economic Behavior and Organization, 82(2-3), 420-432. https://doi.org/10.1016/j.jebo.2011.09.008
  • Gaffeo, E., Delli Gatti, D., Desiderio, S. and Gallegati, M. (2008). Adaptive microfoundations for emergent macroeconomics. Eastern Economic Journal 34(4), 441-63. doi:10.1057/eej.2008.27.
  • Gallegati, G., Gallegati, M. and Landini, S. (2024). Agent-based modelling: A tool for complexity. Cambridge: Cambridge University Press.
  • Godley, W. and Lavoie, M. (2007). Monetary economics: An integrated approach to credit, money, income, production and wealth. New York: Palgrave Macmillan.
  • Haldane, A.G. and Turrell, A.E. (2018). An interdisciplinary model for macroeconomics. Oxford Review of Economic Policy, 34(1-2), 219-251. https://doi.org/10.1093/oxrep/grx051
  • Hayek, F.A. (1979). The counter-revolution of science: Studies on the abuse of reason. Stanford Press.
  • Heijdra, B.J. and Ploeg, F. (2003). The foundations of modern macroeconomics. Oxford: Oxford University Press.
  • Holt, R.P.F., Rosser, J.B. and Colander, D. (2011). The complexity era in economics. Review of Political Economy, 23(3), 357-69. doi:10.1080/09538259.2011.583820.
  • Hommes, C., He, M., Poledna, S., Siqueira, M. and Zhang, Y. (2025). CANVAS: A Canadian behavioral agent-based model for monetary policy. Journal of Economic Dynamics and Control, 172, 104986. https://doi.org/10.1016/j.jedc.2024.104986
  • Kaplan, G., Moll, B. and. Violante, G.L. (2018). Monetary policy according to HANK. American Economic Review, 108(3): 697–743. doi:10.1257/aer.20160042
  • Kirman, A. (2010). The economic crisis is a crisis for economic theory. CESifo Economic Studies 56(4), 498-535. doi:10.1093/cesifo/ifq017
  • Kocherlakota, N. (2010). Modern macroeconomic models as tools for economic policy. Retrieved from https://www.minneapolisfed.org/
  • Lavoie, M. (1992). Foundations of Post-Keynesian economic analysis. Cheltenham: Edward Elgar Press.
  • LeBaron, B. and Tesfatsion, L. (2008). Modeling macroeconomies as open-ended dynamic systems of interacting agents. American Economic Review, 98(2), 246-50. doi:10.1257/aer.98.2.246
  • Lee, J.W. and Nobi, A. (2018). State and network structures of stock markets around the global financial crisis. Computational Economics, 51(2), 195-210. https://doi.org/10.1007/s10614-017-9672-x
  • Leijonhufvud, A. (1993). Towards a not-too-rational macroeconomics. Southern Economic Journal, 60(1), 1-13. https://doi.org/10.2307/1059926
  • Lengnick, M. (2013). Agent-based macroeconomics: A baseline model. Journal of Economic Behavior and Organization, 86, 102-20. https://doi.org/10.1016/j.jebo.2012.12.021
  • McKay, A. and Reis, R. (2016). The role of automatic stabilizers in the U.S. business cycle. Econometrica, 84(1), 141-94. http://www.jstor.org/stable/43866542
  • Moll, B. (2024). The trouble with rational expectations in heterogeneous agent models: A challenge for macroeconomics. Retrieved from https://benjaminmoll.com/wp-content/uploads/2024/07/challenge.pdf
  • Muth, J.F. (1961). Rational expectations and the theory of price movements. Econometrica, 29(3), 315. doi:10.2307/1909635
  • Ottonello, P. and Winberry, T. (2020). Financial heterogeneity and the investment channel of monetary policy. Econometrica, 88(6), 2473-2502. https://doi.org/10.3982/ECTA15949
  • Öğüt, K. (2018). Kompleksite iktisadı çerçevesinde Keynes ve Keynesyen makro iktisat: Metodolojik bir analız. Yıldız Social Science Review, 4(2), 137-52. Erişim adresi: https://dergipark.org.tr/en/pub/yssr/
  • Peters, F., Neuberger, D., Reinhardt, O. and Uhrmacher, A. (2022). A basic macroeconomic agent-based model for analyzing monetary regime shifts. Plos one, 17(12), e0277615. https://doi.org/10.1371/journal.pone.0277615
  • Poledna, S., Miess, M.G., Hommes, C. and Rabitsch, K. (2023). Economic forecasting with an agent-based model. European Economic Review, 151, 104306. https://doi.org/10.1016/j.euroecorev.2022.104306
  • Riccetti, L., Russo, A. and Gallegati, M. (2015). An agent based decentralized matching macroeconomic model. Journal of Economic Interaction and Coordination, 10(2), 305-332. doi:10.1007/s11403-014-0130-8
  • Romer, P. (2016). The trouble with macroeconomics. Retrieved from https://paulromer.net/the-trouble-with-macro/WP-Trouble.pdf
  • Rosser, J.B. (2021). Foundations and applications of complexity economics. Cham: Springer International Publishing.
  • Russo, A., Catalano, M., Gaffeo, E., Gallegati, M. and Napoletano. M. (2007). Industrial dynamics, fiscal policy and RveD: Evidence from a Computational Experiment. Journal of Economic Behavior and Organization 64(3-4), 426-47. https://doi.org/10.1016/j.jebo.2006.06.016
  • Russo, A., Riccetti, L. and Gallegati, M. (2016). Increasing inequality, consumer credit and financial fragility in an agent based macroeconomic model. Journal of Evolutionary Economics, 26(1), 25-47. https://doi.org/10.1007/s00191-015-0410-z
  • Serletis, A. (2014). Introduction to macroeconomic dynamics special issue on complexity in economic systems. Macroeconomic Dynamics, 20(2), 461-65. doi:10.1017/S1365100514000261
  • Steindl, J. (1952). Maturity and stagnation in American capitalism (No. 4). NYU Press.
  • Stiglitz, J.E. (2018). Where modern macroeconomics went wrong? Oxford Review of Economic Policy, 34(1-2), 70-106. https://doi.org/10.1093/oxrep/grx057
  • Tesfatsion, L. (2006). Agent-based computational economics: A constructive approach to economic theory. In L. Tesfatsion and K.L. Judd (Eds.), Handbook of computational economics: Volume 2, agent-based computational economics (pp. 831–880). Elsevier.
  • Trichet, J-C. (2010). Reflections on the nature of monetary policy non-standard measures and finance theory. Retrieved from http://www.ecb.europa.eu/press/key/date/2010/html/sp101118.en.html
  • Wagner, R.E. (2020). Macroeconomics as systems theory: Transcending the micro-macro dichotomy. Palgrave Macmillan. https://doi.org/10.1007/978-3-030-44465-5

Complexity Macroeconomics: An Agent Based Model

Yıl 2025, Cilt: 10 Sayı: 4, 1782 - 1807, 31.12.2025
https://doi.org/10.30784/epfad.1777353

Öz

This study aims to present a baseline agent-based macroeconomic model developed in line with the core arguments that complexity economics brings, particularly to the field of macroeconomics. In contrast to the structure of standard macroeconomic models, which are built upon representative agents, rational expectations, and equilibrium assumptions, this study foregrounds macroeconomic dynamics that emerge from the direct interactions of agents who have heterogeneous characteristics at the micro level and operate with bounded rationality. The economic actors in the model assess their environmental conditions based on limited information and shape their decisions within the framework of heuristic behavioral rules. Within this context, markets are conceptualized as self-organizing and evolutionarily developing structures that arise from complex agent interactions, without the necessity of reaching a predefined equilibrium state. The findings demonstrate that it is possible to construct a framework that enables a more realistic, dynamic, and inclusive understanding of the economic system, moving beyond classical equilibrium-based approaches. This indicates that complexity economics may offer a more functional framework for analyzing irregular and non-stationary processes, particularly during periods of crisis and uncertainty.

Kaynakça

  • Arthur, W.B. (2015). Complexity and the economy (1. ed.). Oxford University Press.
  • Arthur, W.B., Steven, N.D. and David, A.L. (1997). Process and emergence in the economy. The Economy as an Evolving Complex System II, 1997, 1-14. Retrieved from https://faculty.sites.iastate.edu/
  • Arthur, W.B. (2021). Foundations of complexity economics. Nature Reviews Physics 3(2), 136-45. https://doi:10.1038/s42254-020-00273-3.
  • Axtell, R.L. (2007). What economic agents do: How cognition and interaction lead to emergence and complexity, The Review of Austrian Economics, 20(2-3),105-122. https://doi.org/10.1007/s11138-007-0021-5
  • Blanchard, O. (2018). On the future of macroeconomic models. Oxford Review of Economic Policy, 34(1-2), 43-54. https://doi.org/10.1093/oxrep/grx045
  • Caballero, R.J. (2010). Macroeconomics after the crisis: Time to deal with the pretense-of-knowledge syndrome. Journal of Economic Perspectives 24(4), 85-102. doi:10.1257/jep.24.4.85.
  • Caiani, A., Godin, A., Caverzasi, E., Gallegati, M., Kinsella, S. and Stiglitz. J.E. (2016). Agent based-stock flow consistent macroeconomics: Towards a benchmark model. Journal of Economic Dynamics and Control, 69, 375-408. https://doi.org/10.1016/j.jedc.2016.06.001
  • Caiani, A., Russo, A. and Gallegati. M. (2019). Does inequality hamper innovation and growth? An AB-SFC analysis. Journal of Evolutionary Economics 29(1), 177-228. https://doi.org/10.1007/s00191-018-0554-8
  • Cincotti, S., Raberto, M. and Teglio, A. (2022). Why do we need agent-based macroeconomics? Review of Evolutionary Political Economy 3(1), 5-29. https://doi.org/10.1007/s43253-022-00071-w
  • Colander, D. (2019). Complexity, the evolution of macroeconomic thought, and micro foundations (Groupe de REcherche en Droit, Economie No. 2019-42). Retrieved from https://www.paecon.net/PAEReview/issue91/Colander91.pdf
  • Colander, D., Holt, R. and Rosser, B. (2004). The changing face of mainstream economics. Review of Political Economy, 16(4), 485-499. https://doi.org/10.1080/0953825042000256702
  • Colander, D., Howitt, P., Kirman, A., Leijonhufvud, A. and Mehrling, P. (2008). Beyond DSGE models: Toward an empirically based macroeconomics. American Economic Review 98(2), 236-40. doi:10.1257/aer.98.2.236
  • Dawid, H. and Delli Gatti, D. (2018). Agent-based macroeconomics. In C.H. Hommes and B. LeBaron (Eds.), Handbook of computational economics (pp. 63–156). Elsevier. https://doi.org/10.1016/bs.hescom.2018.02.006
  • Delli Gatti, D., Di Guilmi, C., Gaffeo, E., Giulioni, G., Gallegati, M. and Palestrini, A. (2005). A new approach to business fluctuations: Heterogeneous interacting agents, scaling laws and financial fragility. Journal of Economic Behavior and Organization, 56(4), 489–512. https://doi.org/10.1016/j.jebo.2003.10.012
  • Delli Gatti, D., Gaffeo, E., Gallegati, M., Giulioni, G., Kirman, A., Palestrini, A. and Russo, A. (2007). Complex dynamics and empirical evidence. Information Sciences, 177(5), 1204-1221. https://doi.org/10.1016/j.ins.2006.08.003
  • Delli Gatti, D., Gallegati, M., Greenwald, B., Russo, A. and Stiglitz, J.E. (2010). The financial accelerator in an evolving credit network. Journal of Economic Dynamics and Control, 34(9), 1627-1650. https://doi.org/10.1016/j.jedc.2010.06.019
  • Dosi, G. and Roventini, A. (2025). Agent-based macroeconomics: The Schumpeter meeting Keynes models. Cambridge: Cambridge University Press.
  • Dosi, G. and Roventini, A. (2019). More is different ... and complex! The case for agent-based macroeconomics. Journal of Evolutionary Economics, 29(1), 1-37. https://doi.org/10.1007/s00191-019-00609-y
  • Eren, E. (2020). Makro iktisat ve kriz: Çözüm Mezo iktisat mı? İktisat ve Toplum, 121, 54-63. Erişim adresi: https://iktisatvetoplum.com/
  • Eren, E. ve Uysal, E. (2017). İktisatta yeni Heterodoks gelişmeler. Kırklareli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(2), 134-151. Erişim adresi: https://dergipark.org.tr/tr/pub/klujfeas/
  • Faggini, M., Bruno, B. and Parziale, A. (2019). Crises in economic complex networks: Black Swans or Dragon Kings? Economic Analysis and Policy, 62, 105-115. https://doi.org/10.1016/j.eap.2019.01.009
  • Fagiolo, G., Dosi, G. and Gabriele, R. (2004). Matching, bargaining, and wage setting in an evolutionary model of labor market and output dynamics. Advances in Complex Systems, 7(02), 157-186. doi:10.1142/S0219525904000135
  • Farmer, J.D. and Foley, D. (2009). The economy needs agent-based modelling. Nature, 460(7256), 685-686. https://doi.org/10.1038/460685a
  • Fierro, L.E. (2020). Three essays in agent-based macroeconomics. Retrieved from https://iris.univpm.it/retrieve/e18b8791-5cd1-d302-e053-1705fe0a27c8/Tesi_Fierro.pdf
  • Foster, J. and Metcalfe, J.S. (2012). Economic emergence: An evolutionary economic perspective. Journal of Economic Behavior and Organization, 82(2-3), 420-432. https://doi.org/10.1016/j.jebo.2011.09.008
  • Gaffeo, E., Delli Gatti, D., Desiderio, S. and Gallegati, M. (2008). Adaptive microfoundations for emergent macroeconomics. Eastern Economic Journal 34(4), 441-63. doi:10.1057/eej.2008.27.
  • Gallegati, G., Gallegati, M. and Landini, S. (2024). Agent-based modelling: A tool for complexity. Cambridge: Cambridge University Press.
  • Godley, W. and Lavoie, M. (2007). Monetary economics: An integrated approach to credit, money, income, production and wealth. New York: Palgrave Macmillan.
  • Haldane, A.G. and Turrell, A.E. (2018). An interdisciplinary model for macroeconomics. Oxford Review of Economic Policy, 34(1-2), 219-251. https://doi.org/10.1093/oxrep/grx051
  • Hayek, F.A. (1979). The counter-revolution of science: Studies on the abuse of reason. Stanford Press.
  • Heijdra, B.J. and Ploeg, F. (2003). The foundations of modern macroeconomics. Oxford: Oxford University Press.
  • Holt, R.P.F., Rosser, J.B. and Colander, D. (2011). The complexity era in economics. Review of Political Economy, 23(3), 357-69. doi:10.1080/09538259.2011.583820.
  • Hommes, C., He, M., Poledna, S., Siqueira, M. and Zhang, Y. (2025). CANVAS: A Canadian behavioral agent-based model for monetary policy. Journal of Economic Dynamics and Control, 172, 104986. https://doi.org/10.1016/j.jedc.2024.104986
  • Kaplan, G., Moll, B. and. Violante, G.L. (2018). Monetary policy according to HANK. American Economic Review, 108(3): 697–743. doi:10.1257/aer.20160042
  • Kirman, A. (2010). The economic crisis is a crisis for economic theory. CESifo Economic Studies 56(4), 498-535. doi:10.1093/cesifo/ifq017
  • Kocherlakota, N. (2010). Modern macroeconomic models as tools for economic policy. Retrieved from https://www.minneapolisfed.org/
  • Lavoie, M. (1992). Foundations of Post-Keynesian economic analysis. Cheltenham: Edward Elgar Press.
  • LeBaron, B. and Tesfatsion, L. (2008). Modeling macroeconomies as open-ended dynamic systems of interacting agents. American Economic Review, 98(2), 246-50. doi:10.1257/aer.98.2.246
  • Lee, J.W. and Nobi, A. (2018). State and network structures of stock markets around the global financial crisis. Computational Economics, 51(2), 195-210. https://doi.org/10.1007/s10614-017-9672-x
  • Leijonhufvud, A. (1993). Towards a not-too-rational macroeconomics. Southern Economic Journal, 60(1), 1-13. https://doi.org/10.2307/1059926
  • Lengnick, M. (2013). Agent-based macroeconomics: A baseline model. Journal of Economic Behavior and Organization, 86, 102-20. https://doi.org/10.1016/j.jebo.2012.12.021
  • McKay, A. and Reis, R. (2016). The role of automatic stabilizers in the U.S. business cycle. Econometrica, 84(1), 141-94. http://www.jstor.org/stable/43866542
  • Moll, B. (2024). The trouble with rational expectations in heterogeneous agent models: A challenge for macroeconomics. Retrieved from https://benjaminmoll.com/wp-content/uploads/2024/07/challenge.pdf
  • Muth, J.F. (1961). Rational expectations and the theory of price movements. Econometrica, 29(3), 315. doi:10.2307/1909635
  • Ottonello, P. and Winberry, T. (2020). Financial heterogeneity and the investment channel of monetary policy. Econometrica, 88(6), 2473-2502. https://doi.org/10.3982/ECTA15949
  • Öğüt, K. (2018). Kompleksite iktisadı çerçevesinde Keynes ve Keynesyen makro iktisat: Metodolojik bir analız. Yıldız Social Science Review, 4(2), 137-52. Erişim adresi: https://dergipark.org.tr/en/pub/yssr/
  • Peters, F., Neuberger, D., Reinhardt, O. and Uhrmacher, A. (2022). A basic macroeconomic agent-based model for analyzing monetary regime shifts. Plos one, 17(12), e0277615. https://doi.org/10.1371/journal.pone.0277615
  • Poledna, S., Miess, M.G., Hommes, C. and Rabitsch, K. (2023). Economic forecasting with an agent-based model. European Economic Review, 151, 104306. https://doi.org/10.1016/j.euroecorev.2022.104306
  • Riccetti, L., Russo, A. and Gallegati, M. (2015). An agent based decentralized matching macroeconomic model. Journal of Economic Interaction and Coordination, 10(2), 305-332. doi:10.1007/s11403-014-0130-8
  • Romer, P. (2016). The trouble with macroeconomics. Retrieved from https://paulromer.net/the-trouble-with-macro/WP-Trouble.pdf
  • Rosser, J.B. (2021). Foundations and applications of complexity economics. Cham: Springer International Publishing.
  • Russo, A., Catalano, M., Gaffeo, E., Gallegati, M. and Napoletano. M. (2007). Industrial dynamics, fiscal policy and RveD: Evidence from a Computational Experiment. Journal of Economic Behavior and Organization 64(3-4), 426-47. https://doi.org/10.1016/j.jebo.2006.06.016
  • Russo, A., Riccetti, L. and Gallegati, M. (2016). Increasing inequality, consumer credit and financial fragility in an agent based macroeconomic model. Journal of Evolutionary Economics, 26(1), 25-47. https://doi.org/10.1007/s00191-015-0410-z
  • Serletis, A. (2014). Introduction to macroeconomic dynamics special issue on complexity in economic systems. Macroeconomic Dynamics, 20(2), 461-65. doi:10.1017/S1365100514000261
  • Steindl, J. (1952). Maturity and stagnation in American capitalism (No. 4). NYU Press.
  • Stiglitz, J.E. (2018). Where modern macroeconomics went wrong? Oxford Review of Economic Policy, 34(1-2), 70-106. https://doi.org/10.1093/oxrep/grx057
  • Tesfatsion, L. (2006). Agent-based computational economics: A constructive approach to economic theory. In L. Tesfatsion and K.L. Judd (Eds.), Handbook of computational economics: Volume 2, agent-based computational economics (pp. 831–880). Elsevier.
  • Trichet, J-C. (2010). Reflections on the nature of monetary policy non-standard measures and finance theory. Retrieved from http://www.ecb.europa.eu/press/key/date/2010/html/sp101118.en.html
  • Wagner, R.E. (2020). Macroeconomics as systems theory: Transcending the micro-macro dichotomy. Palgrave Macmillan. https://doi.org/10.1007/978-3-030-44465-5
Toplam 59 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Ekonomik Modeller ve Öngörü, Makroekonomik Teori, İktisat Teorisi
Bölüm Araştırma Makalesi
Yazarlar

İbrahim Başaran 0000-0003-3211-0223

Ercan Eren 0000-0003-4513-278X

Gönderilme Tarihi 3 Eylül 2025
Kabul Tarihi 8 Kasım 2025
Yayımlanma Tarihi 31 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 10 Sayı: 4

Kaynak Göster

APA Başaran, İ., & Eren, E. (2025). Kompleksite Makro İktisadı: Ajan Bazlı Bir Model. Ekonomi Politika ve Finans Araştırmaları Dergisi, 10(4), 1782-1807. https://doi.org/10.30784/epfad.1777353