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Sander van der Hoog

Personal Details

First Name:Sander
Middle Name:
Last Name:van der Hoog
Suffix:
RePEc Short-ID:pva35
[This author has chosen not to make the email address public]
http://www.wiwi.uni-bielefeld.de/lehrbereiche/vwl/etace/team/Sander_van_der_Hoog/
Universität Bielefeld Fak. Wirtschaftswissenschaften P.O. Box 100131 33501 Bielefeld Germany
Terminal Degree:2005 Center for Nonlinear Dynamics in Economics and Finance (CeNDEF); Faculteit Economie en Bedrijfskunde; Universiteit van Amsterdam (from RePEc Genealogy)

Affiliation

Fakultät für Wirtschaftswissenschaften
Universität Bielefeld

Bielefeld, Germany
http://www.wiwi.uni-bielefeld.de/
RePEc:edi:fwbiede (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Sylvain Barde & Sander van der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," Studies in Economics 1712, School of Economics, University of Kent.
  2. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.
  3. 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.
  4. Sander van Der Hoog & Christophe Deissenberg & Herbert Dawid, 2008. "Production and Finance in EURACE," Working Papers halshs-00339758, HAL.
  5. Hoog S. van der, 2005. "A spatial separation model of a credit economy with optimistic and pessimistic quantity expectations," CeNDEF Working Papers 05-16, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  6. Sander van der Hoog, 2004. "Credit and Cash-in-Advance in Disequilibrium Models," Computing in Economics and Finance 2004 294, Society for Computational Economics.
  7. Hoog, S. van der, 2004. "On the Micro-Dynamics of a Cash-in-Advance Economy," CeNDEF Working Papers 04-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  8. Sander van der Hoog, 2003. "A Dynamic Monetary Exchange Economy with a Moving Horizon Time Structure," Computing in Economics and Finance 2003 188, Society for Computational Economics.

Articles

  1. van der Hoog, Sander, 2008. "On the disequilibrium dynamics of sequential monetary economies," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 525-552, December.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Sylvain Barde & Sander van der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," Studies in Economics 1712, School of Economics, University of Kent.

    Cited by:

    1. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    2. Farmer, J. Doyne & Heinrich, Torsten & Sabuco, Juan, 2019. "A simulation of the insurance industry: The problem of risk model homogeneity," INET Oxford Working Papers 2019-12, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    3. Kukacka, Jiri & Jang, Tae-Seok & Sacht, Stephen, 2018. "On the estimation of behavioral macroeconomic models via simulated maximum likelihood," Economics Working Papers 2018-11, Christian-Albrechts-University of Kiel, Department of Economics.
    4. Domenico Delli Gatti & Jakob Grazzini, 2019. "Rising to the Challenge: Bayesian Estimation and Forecasting Techniques for Macroeconomic Agent-Based Models," CESifo Working Paper Series 7894, CESifo.
    5. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    6. Sander Hoog, 2019. "Surrogate Modelling in (and of) Agent-Based Models: A Prospectus," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1245-1263, March.
    7. Dawid, Herbert & Harting, Philipp & Neugart, Michael & Hoog, Sander van der, 2019. "Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 113126, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    9. Sylvain Barde & Sander van der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," Studies in Economics 1712, School of Economics, University of Kent.
    10. Leonardo Bargigli & Luca Riccetti & Alberto Russo & Mauro Gallegati, 2016. "Network Calibration and Metamodeling of a Financial Accelerator Agent Based Model," Working Papers - Economics wp2016_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    11. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Siyan Chen & Saul Desiderio, 2022. "Calibration of Agent-Based Models by Means of Meta-Modeling and Nonparametric Regression," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1457-1478, December.
    13. Guus ten Broeke & George van Voorn & Arend Ligtenberg & Jaap Molenaar, 2021. "The Use of Surrogate Models to Analyse Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(2), pages 1-3.
    14. Alperen Bektas & Valentino Piana & René Schumann, 2021. "A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model," SN Business & Economics, Springer, vol. 1(6), pages 1-25, June.
    15. Herbert Dawid & Philipp Harting & Sander van der Hoog, 2019. "Manager remuneration, share buybacks, and firm performance," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(3), pages 681-706.
    16. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    17. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    18. Siyan Chen & Saul Desiderio, 2022. "A Regression-Based Calibration Method for Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 687-700, February.

  2. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.

    Cited by:

    1. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    2. Sylvain Barde & Sander van der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," Studies in Economics 1712, School of Economics, University of Kent.

  3. 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.

    Cited by:

    1. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "What if supply-side policies are not enough ? The perverse interaction of flexibility and austerity," SciencePo Working papers Main hal-03458460, HAL.
    2. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Tony Hall & Jan Jacobs & Adrian Pagan, 2013. "Macro-Econometric System Modelling @75," CAMA Working Papers 2013-67, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Gérard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," PSE-Ecole d'économie de Paris (Postprint) halshs-01296643, HAL.
    5. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics Discussion Papers 2010-4, Kiel Institute for the World Economy (IfW Kiel).
    6. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    7. Herbert Dawid & Simon Gemkow & Philipp Harting & Michael Neugart, 2009. "On the Effects of Skill Upgrading in the Presence of Spatial Labor Market Frictions: An Agent-Based Analysis of Spatial Policy Design," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-5.
    8. Roos, Michael W. M., 2015. "The macroeconomics of radical uncertainty," Ruhr Economic Papers 592, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Andrea Borsato, 2022. "An agent-based model for Secular Stagnation in the USA: theory and empirical evidence," Journal of Evolutionary Economics, Springer, vol. 32(4), pages 1345-1389, September.
    10. 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).
    11. Sheri M Markose, 2013. "Systemic risk analytics: A data-driven multi-agent financial network (MAFN) approach," Journal of Banking Regulation, Palgrave Macmillan, vol. 14(3-4), pages 285-305, July.
    12. 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.
    13. Quamrul Ashraf & Boris Gershman & Peter Howitt, 2012. "How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation," NBER Working Papers 18225, National Bureau of Economic Research, Inc.
    14. Lengnick, Matthias & Wohltmann, Hans-Werner, 2010. "Agent-based financial markets and New Keynesian macroeconomics: A synthesis," Economics Working Papers 2010-10, Christian-Albrechts-University of Kiel, Department of Economics.
    15. Georg Jäger & Christian Hofer & Manfred Füllsack, 2019. "The Benefits of Randomly Delayed Charging of Electric Vehicles," Sustainability, MDPI, vol. 11(13), pages 1-11, July.
    16. Vincze, János & Varga, Gergely, 2016. "Megtakarítási típusok - egy adaptív-evolúciós megközelítés [Types of saving - an adaptive-evolutionary approach]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 162-187.
    17. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    18. Alexandru Mandes, 2020. "Impact of Electronic Liquidity Providers Within a High-Frequency Agent-Based Modeling Framework," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 407-450, February.
    19. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "The Effects of Labour Market Reforms upon Unemployment and Income Inequalities: an Agent Based Model," Sciences Po publications 2016-24, Sciences Po.
    20. Tommaso Ciarli & Andre Lorentz & Marco Valente & Maria Savona, 2017. "Structural Changes and Growth Regime," Working Papers of BETA 2017-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    21. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    22. Luca Fraccascia & Ilaria Giannoccaro & Vito Albino, 2017. "Efficacy of Landfill Tax and Subsidy Policies for the Emergence of Industrial Symbiosis Networks: An Agent-Based Simulation Study," Sustainability, MDPI, vol. 9(4), pages 1-18, March.
    23. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    24. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers hal-04141079, HAL.
    25. Georg Jäger & Laura S. Zilian & Christian Hofer & Manfred Füllsack, 2019. "Crowdworking: working with or against the crowd?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 761-788, December.
    26. Tang, Wenwu & Bennett, David A., 2011. "Parallel agent-based modeling of spatial opinion diffusion accelerated using graphics processing units," Ecological Modelling, Elsevier, vol. 222(19), pages 3605-3615.
    27. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    28. Roos Michael W. M., 2015. "Die Komplexitätsökonomik und ihre Implikationen für die Wirtschaftspolitik," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(4), pages 379-392, December.
    29. Antoine Mandel & Carlo Jaeger & Steffen Fürst & Wiebke Lass & Daniel Lincke & Frank Meissner & Federico Pablo-Marti & Sarah Wolf, 2010. "Agent-based dynamics in disaggregated growth models," Documents de travail du Centre d'Economie de la Sorbonne 10077, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    30. Volker Wieland, 2012. "Model comparison and robustness: a proposal for policy analysis after the financial crisis," Chapters, in: Robert M. Solow & Jean-Philippe Touffut (ed.), What’s Right with Macroeconomics?, chapter 2, pages 33-67, Edward Elgar Publishing.
    31. Quamrul Ashraf & Boris Gershman & Peter Howitt, 2015. "Banks, Market Organization, and Macroeconomic Performance: An Agent-Based Computational Analysis," Working Papers 2015-10, American University, Department of Economics.
    32. André Veski & Kaire Põder, 2018. "Zero-intelligence agents looking for a job," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 615-640, October.
    33. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.
    34. Wenzhi Zheng & Yuting Lou & Yu Chen, 2019. "On the Unsustainable Macroeconomy with Increasing Inequality of Firms Induced by Excessive Liquidity," Sustainability, MDPI, vol. 11(11), pages 1-22, May.
    35. János Vincze & Gergely Varga, 2015. "Ants and crickets: arbitrary saving rates in an agent-based model with infinitely lived-agents," CERS-IE WORKING PAPERS 1504, Institute of Economics, Centre for Economic and Regional Studies.
    36. 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.
    37. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    38. Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Sciences Po publications info:hdl:2441/5fafm6me7k8, Sciences Po.
    39. 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).
    40. F. LeRon Shults & Wesley J. Wildman, 2020. "Human Simulation and Sustainability: Ontological, Epistemological, and Ethical Reflections," Sustainability, MDPI, vol. 12(23), pages 1-16, December.
    41. Nicola Botta & Antoine Mandel & Cezar Ionescu, 2010. "Time in discrete agent-based models of socio-economic systems," Post-Print halshs-00542250, HAL.
    42. Tommaso Ciarli & Andre' Lorentz & Maria Savona & Marco Valente, 2012. "The role of technology, organisation, and demand in growth and income distribution," LEM Papers Series 2012/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    43. Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2018. "Optimal inflation target: insights from an agent-based model," Post-Print hal-01768441, HAL.
    44. Ladley, Daniel & Wilkinson, Ian & Young, Louise, 2015. "The impact of individual versus group rewards on work group performance and cooperation: A computational social science approach," Journal of Business Research, Elsevier, vol. 68(11), pages 2412-2425.
    45. Yong Suk Lee, 2012. "Educational Tracking, Residential Sorting, and Intergenerational Mobility," Department of Economics Working Papers 2012-06, Department of Economics, Williams College.
    46. Herbert Dawid & Jasper Hepp, 2022. "Distributional effects of technological regime changes: hysteresis, concentration and inequality dynamics," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 137-167, April.
    47. Weihong Huang & Yu Zhang, 2017. "Endogenous Fundamental and Stock Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 629-653, December.
    48. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Имитационная Пространственная Модель Развития Российских Городов," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    49. Michael W. M. Roos, 2018. "Endogenous Economic Growth, Climate Change and Societal Values: A Conceptual Model," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 995-1028, October.
    50. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    51. 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.
    52. Cooper, Rachel & Jarre, Astrid, 2017. "An Agent-based Model of the South African Offshore Hake Trawl Industry: Part I Model Description and Validation," Ecological Economics, Elsevier, vol. 142(C), pages 268-281.
    53. Neugart, Michael & Richiardi, Matteo, 2018. "Agent-based models of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110862, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    54. Anderson, Taylor M. & Dragićević, Suzana, 2016. "Geospatial pest-parasitoid agent based model for optimizing biological control of forest insect infestation," Ecological Modelling, Elsevier, vol. 337(C), pages 310-329.
    55. Wei Zhao & Yi Lu & Genfu Feng, 2019. "How Many Agents are Rational in China’s Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 575-611, August.
    56. 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.
    57. Safarzyńska, Karolina & Brouwer, Roy & Hofkes, Marjan, 2013. "Evolutionary modelling of the macro-economic impacts of catastrophic flood events," Ecological Economics, Elsevier, vol. 88(C), pages 108-118.
    58. Herbert Dawid & Philipp Harting, 2012. "Capturing Firm Behavior in Agent-based Models of Industry Evolution and Macroeconomic Dynamics," Chapters, in: Guido Buenstorf (ed.), Evolution, Organization and Economic Behavior, chapter 6, Edward Elgar Publishing.
    59. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    60. Tang, Wenwu & Bennett, David A., 2012. "Reprint of: Parallel agent-based modeling of spatial opinion diffusion accelerated using graphics processing units," Ecological Modelling, Elsevier, vol. 229(C), pages 108-118.
    61. Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
    62. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    63. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    64. Andrea Borsato, 2021. "An Agent-based Model for Secular Stagnation in the USA: Theory and Empirical Evidence," LEM Papers Series 2021/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    65. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Simulated Spatial Model of Russian Urban Development [Имитационная Пространственная Модель Развития Российских Городов]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    66. Yazan, Devrim Murat & Fraccascia, Luca & Mes, Martijn & Zijm, Henk, 2018. "Cooperation in manure-based biogas production networks: An agent-based modeling approach," Applied Energy, Elsevier, vol. 212(C), pages 820-833.
    67. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    68. Yuji Aruka, 2017. "Special feature: preliminaries towards ontological reconstruction of economics—theories and simulations," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 409-414, December.
    69. Stanislao Gualdi & Marco Tarzia & Francesco Zamponi & Jean-Philippe Bouchaud, 2017. "Monetary policy and dark corners in a stylized agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 507-537, October.
    70. Mérő, Bence & Vágó, Nikolett, 2018. "Keresletvezérelt lakáspiaci modell a lakáshitelezést szabályozó makro prudenciális eszközök tanulmányozására [A demand-led model of the housing market for studying the macro-prudential means of reg," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1115-1153.
    71. 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.
    72. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    73. 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.
    74. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    75. Luzius Meisser & C. Friedrich Kreuser, 2017. "An Agent-Based Simulation of the Stolper–Samuelson Effect," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 533-547, December.
    76. Mehmet GENÇER & Bülent ÖZEL, 2010. "Agent-Based Modeling of Economic Systems: The EURACE Project Experience," EcoMod2010 259600063, EcoMod.
    77. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    78. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    79. Haber Gottfried, 2008. "Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 276-295, April.
    80. Vincze, János, 2017. "Információ és tudás. A big data egyes hatásai a közgazdaságtanra [Information and knowledge: some effects of big data on economics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1148-1159.
    81. Howitt, Peter, 2012. "What have central bankers learned from modern macroeconomic theory?," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 11-22.
    82. Váry, Miklós, 2015. "Piaci alkalmazkodás ragadós árak mellett - Calvo-típusú ármerevség egy ágensalapú modellben [Market adjustment under sticky prices: the price rigidity of a Calvo type in an agent-based model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 48-77.
    83. Michael S. Harr'e, 2018. "Multi-agent Economics and the Emergence of Critical Markets," Papers 1809.01332, arXiv.org.
    84. Michalis Nikiforos & Gennaro Zezza, 2017. "Stock†Flow Consistent Macroeconomic Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1204-1239, December.
    85. Bouchaud, Jean-Philippe & Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco, 2018. "Optimal inflation target: Insights from an agent-based model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-27.
    86. Callum Rhys Tilbury, 2022. "Reinforcement Learning for Economic Policy: A New Frontier?," Papers 2206.08781, arXiv.org, revised Feb 2023.
    87. Váry, Miklós, 2021. "The long-run real effects of monetary shocks: Lessons from a hybrid post-Keynesian-DSGE-agent-based menu cost model," Economic Modelling, Elsevier, vol. 105(C).
    88. Макаров В.Л. & Бахтизин А.Р., 2013. "Применение Суперкомпьютерных Технологий В Общественных Науках," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 49(4), pages 18-32, октябрь.

  4. Sander van Der Hoog & Christophe Deissenberg & Herbert Dawid, 2008. "Production and Finance in EURACE," Working Papers halshs-00339758, HAL.

    Cited by:

    1. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2015. "A simple agent-based spatial model of the economy: tools for policy," Papers 1510.04967, arXiv.org, revised Oct 2016.
    3. Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco & Bouchaud, Jean-Philippe, 2015. "Tipping points in macroeconomic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 29-61.
    4. Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Sciences Po publications info:hdl:2441/5fafm6me7k8, Sciences Po.
    5. Bernardo Alves Furtado & Isaque Daniel Eberhardt, 2016. "Modelo Espacial Simples de uma Economia com Agentes: uma proposta metodológica," Discussion Papers 2181, Instituto de Pesquisa Econômica Aplicada - IPEA.
    6. 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.
    7. Tiziana Assenza & Domenico Delli Gatti & Jakob Grazzini, 2014. "Emergent Dynamics of a Macroeconomic Agent Based Model with Capital and Credit," CESifo Working Paper Series 4765, CESifo.
    8. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.

Articles

  1. van der Hoog, Sander, 2008. "On the disequilibrium dynamics of sequential monetary economies," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 525-552, December.

    Cited by:

    1. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2012. "Money creation and financial instability: An agent-based credit network approach," Economics Working Papers 2012-15, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Robert Jump, 2014. "Animal spirits and unemployment: a disequilibrium analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 255-274, October.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (4) 2004-07-26 2008-12-01 2017-06-25 2017-07-23
  2. NEP-MAC: Macroeconomics (3) 2003-10-20 2004-07-26 2008-12-01
  3. NEP-BIG: Big Data (1) 2017-06-25
  4. NEP-CBE: Cognitive and Behavioural Economics (1) 2017-06-25
  5. NEP-ECM: Econometrics (1) 2017-07-23
  6. NEP-EEC: European Economics (1) 2008-12-01
  7. NEP-HME: Heterodox Microeconomics (1) 2017-07-23
  8. NEP-MON: Monetary Economics (1) 2004-07-26

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