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Matthias Lengnick

Personal Details

First Name:Matthias
Middle Name:
Last Name:Lengnick
Suffix:
RePEc Short-ID:ple542
[This author has chosen not to make the email address public]

Affiliation

Institut für Volkswirtschaftslehre
Christian-Albrechts-Universität Kiel

Kiel, Germany
http://www.vwl.uni-kiel.de/

: 0431-880 3282
0431-880 3150
D-24098 Kiel,Wilhelm-Seelig-Platz 1
RePEc:edi:vakiede (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Lengnick, Matthias & Wohltmann, Hans-Werner, 2014. "Optimal monetary policy in a new Keynesian model with animal spirits and financial markets," Economics Working Papers 2014-12, Christian-Albrechts-University of Kiel, Department of Economics.
  2. Krug, Sebastian & Lengnick, Matthias & Wohltmann, Hans-Werner, 2014. "The impact of Basel III on financial (in)stability: An agent-based credit network approach," Economics Working Papers 2014-13, Christian-Albrechts-University of Kiel, Department of Economics.
  3. 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.
  4. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
  5. 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.

Articles

  1. Lengnick, Matthias & Wohltmann, Hans-Werner, 2016. "Optimal monetary policy in a new Keynesian model with animal spirits and financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 148-165.
  2. Sebastian Krug & Matthias Lengnick & Hans-Werner Wohltmann, 2014. "The impact of Basel III on financial (in)stability: an agent-based credit network approach," Quantitative Finance, Taylor & Francis Journals, vol. 15(12), pages 1917-1932, December.
  3. Lengnick, Matthias, 2013. "Agent-based macroeconomics: A baseline model," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 102-120.
  4. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2013. "Money creation and financial instability: An agent-based credit network approach," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 7, pages 1-44.
  5. Matthias Lengnick & Hans-Werner Wohltmann, 2013. "Agent-based financial markets and New Keynesian macroeconomics: a synthesis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 1-32, April.

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. 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.

    Mentioned in:

    1. ABM+NKDSGE=?
      by Economic Logician in Economic Logic on 2010-12-27 21:42:00

Working papers

  1. Lengnick, Matthias & Wohltmann, Hans-Werner, 2014. "Optimal monetary policy in a new Keynesian model with animal spirits and financial markets," Economics Working Papers 2014-12, Christian-Albrechts-University of Kiel, Department of Economics.

    Cited by:

    1. Jang, Tae-Seok & Sacht, Stephen, 2017. "Modeling consumer confidence and its role for expectation formation: A horse race," Economics Working Papers 2017-04, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Krug, Sebastian & Wohltmann, Hans-Werner, 2016. "Shadow banking, financial regulation and animal spirits: An ACE approach," Economics Working Papers 2016-08, Christian-Albrechts-University of Kiel, Department of Economics.
    3. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux: New Developments and Challenges Ahead," Sciences Po publications info:hdl:2441/dcditnq6282, Sciences Po.
    4. Offick, Sven & Wohltmann, Hans-Werner, 2016. "Volatility effects of news shocks in New Keynesian models with optimal monetary policy," Economics Working Papers 2016-06, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Piotr Krajewski, 2017. "Heterogeneity of Households and the Effects of Fiscal Policy in the CEE Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 79-93, June.
    6. Offick, Sven & Wohltmann, Hans-Werner, 2015. "Volatility effects of news shocks in (B)RE models with optimal monetary policy," Economics Working Papers 2015-07, Christian-Albrechts-University of Kiel, Department of Economics.
    7. Alexey Vasilenko, 2017. "Should Monetary Authorities Prick Asset Price Bubbles? Evidence from a New Keynesian Model with an Agent-Based Financial Market," HSE Working papers WP BRP 182/EC/2017, National Research University Higher School of Economics.

  2. Krug, Sebastian & Lengnick, Matthias & Wohltmann, Hans-Werner, 2014. "The impact of Basel III on financial (in)stability: An agent-based credit network approach," Economics Working Papers 2014-13, Christian-Albrechts-University of Kiel, Department of Economics.

    Cited by:

    1. Xiong, Wanting & Wang, Yougui, 2017. "The impact of Basel III on money creation: A synthetic analysis," Economics Discussion Papers 2017-53, Kiel Institute for the World Economy (IfW).
    2. Krug, Sebastian & Wohltmann, Hans-Werner, 2016. "Shadow banking, financial regulation and animal spirits: An ACE approach," Economics Working Papers 2016-08, Christian-Albrechts-University of Kiel, Department of Economics.
    3. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux: New Developments and Challenges Ahead," Sciences Po publications info:hdl:2441/dcditnq6282, Sciences Po.
    4. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability : monetary and macro prudential policy interactions in an agent-based model," Documents de Travail de l'OFCE 2015-32, Observatoire Francais des Conjonctures Economiques (OFCE).
    5. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    6. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    7. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW).
    8. Krug, Sebastian, 2017. "The interaction between monetary and macroprudential policy: Should central banks "lean against the wind" to foster macro-financial stability?," Economics Discussion Papers 2017-85, Kiel Institute for the World Economy (IfW).

  3. 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.

    Cited by:

    1. Wolski, Marcin & van de Leur, Michiel, 2016. "Interbank loans, collateral and modern monetary policy," Working Paper Series 1959, European Central Bank.
    2. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux: New Developments and Challenges Ahead," Sciences Po publications info:hdl:2441/dcditnq6282, Sciences Po.
    3. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability : monetary and macro prudential policy interactions in an agent-based model," Documents de Travail de l'OFCE 2015-32, Observatoire Francais des Conjonctures Economiques (OFCE).
    4. Sebastian Krug & Matthias Lengnick & Hans-Werner Wohltmann, 2014. "The impact of Basel III on financial (in)stability: an agent-based credit network approach," Quantitative Finance, Taylor & Francis Journals, vol. 15(12), pages 1917-1932, December.
    5. Gerard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 199-220, October.
    6. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW).
    7. Heinrich, Torsten, 2016. "The Narrow and the Broad Approach to Evolutionary Modeling in Economics," MPRA Paper 75797, University Library of Munich, Germany.
    8. Diego Aparicio & Daniel Fraiman, 2015. "Banking Networks and Leverage Dependence: Evidence from Selected Emerging Countries," Papers 1507.01901, arXiv.org.

  4. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.

    Cited by:

    1. 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.
    2. Pascal Seppecher & Isabelle Salle, 2015. "Deleveraging crises and deep recessions: a behavioural approach," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3771-3790, July.
    3. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Sandro Sapio, 2017. "Faraway, so close : coupled climate and economic dynamics in an agent-based integrated assessment model," Sciences Po publications info:hdl:2441/4hs7liq1f49, Sciences Po.
    4. Mellár, Tamás & Hau, Orsolya & Sebestyén, Tamás, 2013. "Láthatóvá tehető-e a láthatatlan kéz? Egy ágensalapú piaci modell tapasztalatai
      [Can the invisible hand be rendered visible? Experiences of an agent-based market model]
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 992-1024.
    5. 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 2013-24, Groupe de Recherche en Economie Théorique et Appliquée.
    6. Kurt Kratena, 2015. "Thematic report: Macroeconomic models including specifically social and environmental aspects," WWWforEurope Deliverables series 8, WWWforEurope.
    7. 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.
    8. 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.
    9. 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.
    10. Isabelle SALLE (GREThA, CNRS, UMR 5113) & Murat YILDIZOGLU (GREThA, CNRS, UMR 5113) & Marc-Alexandre SENEGAS (GREThA, CNRS, UMR 5113), 2012. "Inflation targeting in a learning economy: An ABM perspective," Cahiers du GREThA 2012-15, Groupe de Recherche en Economie Théorique et Appliquée.
    11. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and Monetary Policies in Complex Evolving Economies," Working Papers 05/2014, University of Verona, Department of Economics.
    12. Schoder, Christian, 2017. "Are Dynamic Stochastic Disequilibrium models Keynesian or neoclassical?," Structural Change and Economic Dynamics, Elsevier, vol. 40(C), pages 46-63.
    13. Hanappi, Hardy & Scholz-Waeckerle, Manuel, 2015. "Evolutionary Political Economy: Content and Methods," MPRA Paper 75447, University Library of Munich, Germany.
    14. Доможиров Д. А. & Ибрагимов Н. М. & Мельникова Л. В. & Цыплаков А. А., 2017. "Интеграция подхода «затраты – выпуск» в агент-ориентированное моделирование. Часть 1. Методологические основы. Integration of input–output approach into agent-based modeling. Part 1. Methodological pr," Мир экономики и управления // Вестник НГУ. Cерия: Cоциально-экономические науки, Socionet;Новосибирский государственный университет, vol. 17(1), pages 86-99.
    15. Corrado Di Guilmi & Laura Carvalho, 2016. "The Dynamics Of Leverage In A Demand-Driven Model With Heterogeneous Firms," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 141, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    16. Суслов В.И. & Доможиров Д.А. & Ибрагимов Н.М. & Костин В.С. & Мельникова Л.В. & Цыплаков А.А., 2016. "Агент-Ориентированная Многорегиональная Модель “Затраты-Выпуск” Российской Экономики," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 52(1), pages 112-131, январь.
    17. Doshchyn, Artur & Giommetti, Nicola, 2013. "Learning, Expectations, and Endogenous Business Cycles," MPRA Paper 49617, University Library of Munich, Germany.
    18. 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.
    19. 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.
    20. 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, Kiel Institute for the World Economy (IfW), vol. 7, pages 1-44.
    21. Orlando Gomes, 2017. "Heterogeneous wage setting and endogenous macro volatility," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 27-57, April.
    22. Patrascu Diana – Ramona, 2013. "The Representative Economic Agent – An Epistemological Approach," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 2, pages 42-46, April.
    23. Bernardo Alves Furtado & Isaque Daniel Eberhardt Rocha, 2017. "An applied spatial agent-based model of administrative boundaries using SEAL," Papers 1702.03226, arXiv.org, revised Mar 2017.
    24. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    25. Caleb Stroup, 2015. "International Deal Experience and Cross-Border Acquisitions," Working Papers 15-03, Davidson College, Department of Economics.
    26. Wood, Aaron D. & Mason, Charles F. & Finnoff, David, 2016. "OPEC, the Seven Sisters, and oil market dominance: An evolutionary game theory and agent-based modeling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PB), pages 66-78.
    27. Victor Olkhov, 2017. "Econophysics Macroeconomic Model," Papers 1701.06625, arXiv.org.
    28. Luisanna Cocco & Michele Marchesi, 2016. "Modeling and Simulation of the Economics of Mining in the Bitcoin Market," Papers 1605.01354, arXiv.org.
    29. Muliere, Pietro & Suverato, Davide, 2014. "Income and Wealth Distributions in a Population of Heterogeneous Agents," Discussion Papers in Economics 20928, University of Munich, Department of Economics.
    30. CIUTACU Ileana & MICU Liviu-Alexandru, 2015. "The Firm, Part Of The Economic System: Reasons For Exiting A Market - An Agent-Based Modeling Approach," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 67(Supplemen), pages 226-244, September.
    31. Lengnick, Matthias & Wohltmann, Hans-Werner, 2014. "Optimal monetary policy in a new Keynesian model with animal spirits and financial markets," Economics Working Papers 2014-12, Christian-Albrechts-University of Kiel, Department of Economics.
    32. Bernhard Rengs & Manuel Scholz-Wäckerle & Ardjan Gazheli & Miklós Antal & Jeroen van den Bergh, 2015. "Testing innovation, employment and distributional impacts of climate policy packages in a macro-evolutionary systems setting," WWWforEurope Working Papers series 83, WWWforEurope.
    33. CIUTACU Ileana & MICU Liviu-Alexandru, 2014. "The Firm, Part Of The Economic System: Reasons For Exiting A Market - An Agent-Based Modeling Approach," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 66(6), pages 39-59.
    34. 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.
    35. 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.
    36. Francis Tseng & Fei Liu & Bernardo Alves Furtado, 2017. "Humans of Simulated New York (HOSNY): an exploratory comprehensive model of city life," Papers 1703.05240, arXiv.org, revised Mar 2017.
    37. Hosszú, Zsuzsanna & Mérő, Bence, 2017. "Hitelciklusok és anticiklikus tőkepuffer egy ágensalapú keynesi modellben
      [Credit cycles and the counter-cyclical capital buffer in an agent-based Keynesian model]
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 457-475.
    38. Stolzenburg, Ulrich, 2015. "The agent-based Solow growth model with endogenous business cycles," Economics Working Papers 2015-01, Christian-Albrechts-University of Kiel, Department of Economics.
    39. 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.
    40. Michele Catalano & Corrado Di Guilmi, 2016. "Uncertainty, rationality and complexity in a multi sectoral dynamic model: the Dynamic Stochastic Generalized Aggregation approach," CAMA Working Papers 2016-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    41. 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, Kiel Institute for the World Economy (IfW), vol. 12, pages 1-27.

  5. 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.

    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. Jang, Tae-Seok & Sacht, Stephen, 2012. "Identification of animal spirits in a bounded rationality model: An application to the euro area," Kiel Working Papers 1798, Kiel Institute for the World Economy (IfW).
    3. Fischer, Thomas & Riedler, Jesper, 2012. "Prices, debt and market structure in an agent-based model of the financial market," ZEW Discussion Papers 12-045, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    4. Ahmad Naimzada & Marina Pireddu, 2013. "Dynamic behavior of real and stock markets with a varying degree of interaction," Working Papers 245, University of Milano-Bicocca, Department of Economics, revised Jun 2013.
    5. Scheffknecht, Lukas & Geiger, Felix, 2011. "A behavioral macroeconomic model with endogenous boom-bust cycles and leverage dynamcis," FZID Discussion Papers 37-2011, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    6. Jang, Tae-Seok & Sacht, Stephen, 2014. "Animal spirits and the business cycle: Empirical evidence from moment matching," Economics Working Papers 2014-06, Christian-Albrechts-University of Kiel, Department of Economics.
    7. Naimzada, Ahmad & Pireddu, Marina, 2014. "Dynamic behavior of product and stock markets with a varying degree of interaction," Economic Modelling, Elsevier, vol. 41(C), pages 191-197.
    8. Orlando Gomes, 2015. "Sentiment Cyclicality," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 9(2), pages 104-134, December.
    9. Chen, Shu-Heng & Chang, Chia-Ling & Tseng, Yi-Heng, 2014. "Social networks, social interaction and macroeconomic dynamics: How much could Ernst Ising help DSGE?," Research in International Business and Finance, Elsevier, vol. 30(C), pages 312-335.
    10. Chen, Shu-heng & Chang, Chia-ling, 2012. "Interactions in the New Keynesian DSGE models: The Boltzmann-Gibbs machine and social networks approach," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 6, pages 1-32.
    11. Weihong Huang & Yu Zhang, 2017. "Endogenous Fundamental and Stock Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 629-653, December.
    12. Totzek, Alexander, 2011. "Banks, oligopolistic competition, and the business cycle: A new financial accelerator approach," Economics Working Papers 2011-02, Christian-Albrechts-University of Kiel, Department of Economics.
    13. 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.
    14. Westerhoff, Frank & Franke, Reiner, 2012. "Agent-based models for economic policy design: Two illustrative examples," BERG Working Paper Series 88, Bamberg University, Bamberg Economic Research Group.
    15. Orlando Gomes, 2017. "Heterogeneous wage setting and endogenous macro volatility," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 27-57, April.
    16. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    17. Michele Gori & Giorgio Ricchiuti, 2018. "A dynamic exchange rate model with heterogeneous agents," Journal of Evolutionary Economics, Springer, vol. 28(2), pages 399-415, April.
    18. Alessandro Spelta & Guido Ascari & Nicolò Pecora, 2012. "Boom and Burst in Housing Market with Heterogeneous Agents," Quaderni di Dipartimento 177, University of Pavia, Department of Economics and Quantitative Methods.
    19. Chang, Chia-ling & Chen, Shu-heng, 2011. "Interactions in DSGE models: The Boltzmann-Gibbs machine and social networks approach," Economics Discussion Papers 2011-25, Kiel Institute for the World Economy (IfW).
    20. 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.
    21. Piero Ferri & Annalisa Cristini & Anna Maria Variato, 2016. "Endogenous fluctuations, markups, capacity and credit constraints," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 11(2), pages 273-292, October.
    22. Westerhoff, Frank, 2011. "Interactions between the real economy and the stock market," BERG Working Paper Series 84, Bamberg University, Bamberg Economic Research Group.
    23. Lengnick, Matthias & Wohltmann, Hans-Werner, 2014. "Optimal monetary policy in a new Keynesian model with animal spirits and financial markets," Economics Working Papers 2014-12, Christian-Albrechts-University of Kiel, Department of Economics.
    24. Nicolò Pecora & Alessandro Spelta, 2013. "Macroeconomic Stability and Heterogeneous Expectations," DEM Working Papers Series 037, University of Pavia, Department of Economics and Management.
    25. Markus Demary, 2017. "Yield curve responses to market sentiments and monetary policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 309-344, July.
    26. Alexey Vasilenko, 2017. "Should Monetary Authorities Prick Asset Price Bubbles? Evidence from a New Keynesian Model with an Agent-Based Financial Market," HSE Working papers WP BRP 182/EC/2017, National Research University Higher School of Economics.
    27. De Grauwe, Paul & Rovira Kaltwasser, Pablo, 2012. "Animal spirits in the foreign exchange market," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1176-1192.
    28. João Silvestre, 2017. "Sovereign default contagion: an agent-based model approach," Working Papers Department of Economics 2017/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    29. Franke, Reiner & Ghonghadze, Jaba, 2014. "Integrating Real Sector Growth and Inflation Into An Agent-Based Stock Market Dynamics," FinMaP-Working Papers 4, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    30. Ahmad Naimzada & Marina Pireddu, 2014. "Real and financial interacting oscillators: a behavioral macro-model with animal spirits," Working Papers 268, University of Milano-Bicocca, Department of Economics, revised Feb 2014.

Articles

  1. Lengnick, Matthias & Wohltmann, Hans-Werner, 2016. "Optimal monetary policy in a new Keynesian model with animal spirits and financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 148-165.
    See citations under working paper version above.
  2. Sebastian Krug & Matthias Lengnick & Hans-Werner Wohltmann, 2014. "The impact of Basel III on financial (in)stability: an agent-based credit network approach," Quantitative Finance, Taylor & Francis Journals, vol. 15(12), pages 1917-1932, December.
    See citations under working paper version above.
  3. Lengnick, Matthias, 2013. "Agent-based macroeconomics: A baseline model," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 102-120.
    See citations under working paper version above.
  4. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2013. "Money creation and financial instability: An agent-based credit network approach," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 7, pages 1-44.
    See citations under working paper version above.
  5. Matthias Lengnick & Hans-Werner Wohltmann, 2013. "Agent-based financial markets and New Keynesian macroeconomics: a synthesis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 1-32, April.
    See citations under working paper version above.Sorry, no citations of articles recorded.

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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 7 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-CBA: Central Banking (5) 2010-11-20 2011-04-30 2012-12-10 2014-12-24 2014-12-29. Author is listed
  2. NEP-MAC: Macroeconomics (5) 2010-11-20 2011-04-30 2011-10-09 2013-01-07 2014-12-29. Author is listed
  3. NEP-CMP: Computational Economics (4) 2011-04-30 2012-12-10 2013-01-07 2014-12-24. Author is listed
  4. NEP-MON: Monetary Economics (3) 2012-12-10 2013-01-07 2014-12-29. Author is listed
  5. NEP-HME: Heterodox Microeconomics (2) 2012-12-10 2013-01-07. Author is listed
  6. NEP-CBE: Cognitive & Behavioural Economics (1) 2011-04-30
  7. NEP-DGE: Dynamic General Equilibrium (1) 2011-04-30
  8. NEP-FMK: Financial Markets (1) 2014-12-24
  9. NEP-ORE: Operations Research (1) 2011-04-30
  10. NEP-RMG: Risk Management (1) 2014-12-24

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