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Leonardo Bargigli

Personal Details

First Name:Leonardo
Middle Name:
Last Name:Bargigli
Suffix:
RePEc Short-ID:pba267
http://www.unifi.it/p-doc2-2013-000000-B-3f2b3a2f362930.html

Affiliation

Dipartimento di Scienze per l'Economia e l'Impresa
Università degli Studi di Firenze

Firenze, Italy
http://www.disei.unifi.it/

: +39-055-2759509
+39-055-2759550
via delle Pandette, 9 50127 Firenze
RePEc:edi:defirit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. 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.
  2. Leonardo Bargigli & Giovanni di Iasio & Luigi Infante & Fabrizio Lillo & Federico Pierobon, 2015. "Interbank markets and multiplex networks: centrality measures and statistical null models," Papers 1501.05751, arXiv.org.
  3. Leonardo Bargigli & Renato Giannetti, 2015. "The Italian Corporate System: SOEs, Private Firms and Institutions in a Network Perspective (1952-1983)," Working Papers - Economics wp2015_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  4. Leonardo Bargigli & Andrea Lionetto & Stefano Viaggiu, 2013. "A Statistical Equilibrium Representation of Markets as Complex Networks," Working Papers - Economics wp2013_23.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  5. Leonardo Bargigli, 2013. "Statistical Equilibrium Models for Sparse Economic Networks," Working Papers - Economics wp2013_25.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  6. Leonardo Bargigli & Andrea Lionetto & Stefano Viaggiu, 2013. "A Statistical Test of Walrasian Equilibrium by Means of Complex Networks Theory," Papers 1307.0817, arXiv.org, revised Sep 2016.
  7. Leonardo Bargigli & Giovanni Di Iasio & Luigi Infante & Fabrizio Lillo & Federico Pierobon, 2013. "The Multiplex Structure of Interbank Networks," Working Papers - Economics wp2013_26.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  8. Bargigli, Leonardo & Gallegati, Mauro, 2012. "Finding communities in credit networks," Economics Discussion Papers 2012-41, Kiel Institute for the World Economy (IfW).
  9. Stefano Viaggiu & Andrea Lionetto & Leonardo Bargigli & Michele Longo, 2011. "Statistical ensembles for money and debt," Papers 1109.0891, arXiv.org, revised Jul 2012.
  10. Leonardo Bargigli, 2005. "The limits of modularity in innovation and production," KITeS Working Papers 176, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Sep 2005.
  11. Leonardo Bargigli, 2005. "An evolutionary model for the dynamics of vertical integration and network-based production," Industrial Organization 0509002, EconWPA.

Articles

  1. Bargigli, L. & Giannetti, R., 2018. "The Italian corporate system in a network perspective (1952–1983)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 367-379.
  2. L. Bargigli & G. di Iasio & L. Infante & F. Lillo & F. Pierobon, 2015. "The multiplex structure of interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 673-691, April.
  3. 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.
  4. Bargigli, Leonardo & Tedeschi, Gabriele, 2014. "Interaction in agent-based economics: A survey on the network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 1-15.
  5. Bargigli, Leonardo & Gallegati, Mauro, 2013. "Finding communities in credit networks," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 7, pages 1-39.
  6. Leonardo Bargigli & Gabriele Tedeschi, 2013. "Major trends in agent-based economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 211-217, October.
  7. Viaggiu, Stefano & Lionetto, Andrea & Bargigli, Leonardo & Longo, Michele, 2012. "Statistical ensembles for money and debt," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4839-4849.
  8. Bargigli, Leonardo & Gallegati, Mauro, 2011. "Random digraphs with given expected degree sequences: A model for economic networks," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 396-411, May.
  9. Leonardo Bargigli & Michelangelo Vasta & Martina Cioni & Alberto Baccini, 2007. "A caccia di informazioni accurate sui «fantasmi». Una proposta per l’analisi del fabbisogno professionale e formativo," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2007(5-6), pages 115-141.
  10. Leonardo Bargigli & Mauro Lombardi, 2006. "Forme evolutive dei sistemi di produzione in base a strutture di interazione tra moduli. Una proposta di esplorazione nello spazio delle configurazioni modulari," Economia politica, Società editrice il Mulino, issue 2, pages 201-236.
  11. Leonardo Bargigli & Martina Cioni, 2003. "Le imprese dell'ICT in Toscana: profili competitivi e modelli innovativi," ECONOMIA E POLITICA INDUSTRIALE, FrancoAngeli Editore, vol. 2003(117).

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. 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.

    Cited by:

    1. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
    2. 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.
    3. 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.
    4. 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.
    5. Giovanni Dosi & Marcelo C. Pereira & Maria Enrica Virgillito, 2016. "On the robustness of the fat-tailed distribution of firm growth rates: a global sensitivity analysis," LEM Papers Series 2016/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  2. Leonardo Bargigli & Andrea Lionetto & Stefano Viaggiu, 2013. "A Statistical Equilibrium Representation of Markets as Complex Networks," Working Papers - Economics wp2013_23.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.

    Cited by:

    1. George Judge, 2016. "Econometric Information Recovery in Behavioral Networks," Econometrics, MDPI, Open Access Journal, vol. 4(3), pages 1-11, September.
    2. Merza, Ádám & London, András & Kiss, István Márton & Pelle, Anita & Dombi, József & Németh, Tamás, 2016. "A világkereskedelem hálózatelméleti vizsgálatának lehetőségeiről
      [The scope for analysis of world trade through network theory]
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 79-98.
    3. George Judge, 2015. "Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems," Econometrics, MDPI, Open Access Journal, vol. 3(1), pages 1-10, February.

  3. Leonardo Bargigli & Andrea Lionetto & Stefano Viaggiu, 2013. "A Statistical Test of Walrasian Equilibrium by Means of Complex Networks Theory," Papers 1307.0817, arXiv.org, revised Sep 2016.

    Cited by:

    1. George Judge, 2015. "Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems," Econometrics, MDPI, Open Access Journal, vol. 3(1), pages 1-10, February.

  4. Leonardo Bargigli & Giovanni Di Iasio & Luigi Infante & Fabrizio Lillo & Federico Pierobon, 2013. "The Multiplex Structure of Interbank Networks," Working Papers - Economics wp2013_26.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.

    Cited by:

    1. Amador, João & Cabral, Sónia, 2016. "Networks of value added trade," Working Paper Series 1931, European Central Bank.
    2. Iñaki Aldasoro & Iván Alves, 2016. "Multiplex interbank networks and systemic importance – An application to European data," ESRB Working Paper Series 20, European Systemic Risk Board.
    3. Anton Pichler & Sebastian Poledna & Stefan Thurner, 2018. "Systemic-risk-efficient asset allocation: Minimization of systemic risk as a network optimization problem," Papers 1801.10515, arXiv.org, revised Mar 2018.
    4. Carlos León & Jhonatan Pérez & Luc Renneboog, 2014. "A multi-layer network of the sovereign securities market," Borradores de Economia 840, Banco de la Republica de Colombia.
    5. Dror Kenett & Shlomo Havlin, 2015. "Network science: a useful tool in economics and finance," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 14(2), pages 155-167, November.
    6. Antoaneta Serguieva & David Bholat, 2017. "Multichannel contagion vs stabilisation in multiple interconnected financial markets," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Statistical implications of the new financial landscape, volume 43 Bank for International Settlements.
    7. Wolski, Marcin & van de Leur, Michiel, 2016. "Interbank loans, collateral and modern monetary policy," Working Paper Series 1959, European Central Bank.
    8. S Battiston & G di Iasio & L Infante & F Pierobon, 2015. "Capital and contagion in financial networks," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39 Bank for International Settlements.
    9. Paolo Barucca & Fabrizio Lillo, 2018. "The organization of the interbank network and how ECB unconventional measures affected the e-MID overnight market," Computational Management Science, Springer, vol. 15(1), pages 33-53, January.
    10. Edoardo Gaffeo & Massimo Molinari, 2016. "A functional perspective to financial networks," DEM Working Papers 2016/06, Department of Economics and Management.
    11. Fabio Caccioli & Paolo Barucca & Teruyoshi Kobayashi, 2017. "Network models of financial systemic risk: A review," Papers 1710.11512, arXiv.org.
    12. Sumit Joshi & Sudipta Sarangi & Ahmed Saber Mahmud, 2017. "Network Formation with Multigraphs and Strategic Complementarities," Working Papers 2017-27, The George Washington University, Institute for International Economic Policy.
    13. Giulia Iori & Rosario N. Mantegna & Luca Marotta & Salvatore Micciche' & James Porter & Michele Tumminello, 2014. "Networked relationships in the e-MID Interbank market: A trading model with memory," Papers 1403.3638, arXiv.org.
    14. Inaki Aldasoro & Domenico Delli Gatti & Ester Faia, 2015. "Bank Networks: Contagion, Systemic Risk and Prudential Policy," CESifo Working Paper Series 5182, CESifo Group Munich.
    15. Antoaneta Serguieva, 2017. "Multichannel Contagion vs Stabilisation in Multiple Interconnected Financial Markets," Papers 1701.06975, arXiv.org, revised Apr 2017.
    16. Paolo Barucca & Fabrizio Lillo, 2015. "The organization of the interbank network and how ECB unconventional measures affected the e-MID overnight market," Papers 1511.08068, arXiv.org, revised Sep 2017.
    17. Leonidov, A.V. & Rumyantsev, E.L., 2016. "Default contagion risks in Russian interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 36-48.
    18. Leonardo Bargigli & Renato Giannetti, 2015. "The Italian Corporate System: SOEs, Private Firms and Institutions in a Network Perspective (1952-1983)," Working Papers - Economics wp2015_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    19. Giuseppe Cappelletti & Paolo Emilio Mistrulli, 2017. "Multiple lending, credit lines, and financial contagion," Temi di discussione (Economic working papers) 1123, Bank of Italy, Economic Research and International Relations Area.
    20. Carlos León & Ron J. Berndsen & Luc Renneboog, 2014. "Financial Stability and Interacting Networks of Financial Institutions and Market Infrastructures," Borradores de Economia 848, Banco de la Republica de Colombia.
    21. Aldasoro, Iñaki & Angeloni, Ignazio, 2013. "Input-Output-based Measures of Systemic Importance," MPRA Paper 49557, University Library of Munich, Germany.
    22. Luu, Duc Thi & Lux, Thomas, 2018. "Multilayer overlaps and correlations in the bank-firm credit network of Spain," Economics Working Papers 2018-04, Christian-Albrechts-University of Kiel, Department of Economics.
    23. Gustavo Peralta & Ricardo Crisóstomo, 2016. "Financial contagion with spillover effects: a multiplex network approach," ESRB Working Paper Series 32, European Systemic Risk Board.
    24. Poledna, Sebastian & Molina-Borboa, José Luis & Martínez-Jaramillo, Serafín & van der Leij, Marco & Thurner, Stefan, 2015. "The multi-layer network nature of systemic risk and its implications for the costs of financial crises," Journal of Financial Stability, Elsevier, vol. 20(C), pages 70-81.
    25. Iñaki Aldasoro & Domenico Delli Gatti & Ester Faia, 2015. "Bank Networks: Contagion, Systemic Risk and Prudential Policy," DISCE - Working Papers del Dipartimento di Economia e Finanza def028, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    26. Leonardo Bargigli & Giovanni di Iasio & Luigi Infante & Fabrizio Lillo & Federico Pierobon, 2015. "Interbank markets and multiplex networks: centrality measures and statistical null models," Papers 1501.05751, arXiv.org.
    27. Temizsoy, A. & Iori, G. & Montes-Rojas, G., 2016. "Network Centrality and Funding Rates in the e-MID Interbank Market," Working Papers 16/08, Department of Economics, City University London.
    28. José Carreño & Rodrigo Cifuentes, 2017. "Identifying Complex Core-Periphery Structures in the Interbank Market," Working Papers Central Bank of Chile 813, Central Bank of Chile.
    29. Langfield, Sam & Liu, Zijun & Ota, Tomohiro, 2014. "Mapping the UK interbank system," Bank of England working papers 516, Bank of England.
    30. Hüser, Anne-Caroline, 2015. "Too interconnected to fail: A survey of the interbank networks literature," SAFE Working Paper Series 91, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    31. Kk{e}stutis Baltakys & Juho Kanniainen & Frank Emmert-Streib, 2017. "Multilayer Aggregation with Statistical Validation: Application to Investor Networks," Papers 1708.09850, arXiv.org, revised Apr 2018.
    32. Elisa Letizia & Fabrizio Lillo, 2017. "Corporate payments networks and credit risk rating," Papers 1711.07677, arXiv.org, revised Jan 2018.
    33. Levy-Carciente, Sary & Kenett, Dror Y. & Avakian, Adam & Stanley, H. Eugene & Havlin, Shlomo, 2015. "Dynamical macroprudential stress testing using network theory," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 164-181.
    34. Kok, Christoffer & Montagna, Mattia, 2016. "Multi-layered interbank model for assessing systemic risk," Working Paper Series 1944, European Central Bank.
    35. Bodin Civilize & Nasha Ananchotikul, 2018. "A Microscopic View of Thailand's Foreign Exchange Market: Players, Activities, and Networks," PIER Discussion Papers 83, Puey Ungphakorn Institute for Economic Research, revised Feb 2018.
    36. Domenico Di Gangi & Fabrizio Lillo & Davide Pirino, 2015. "Assessing systemic risk due to fire sales spillover through maximum entropy network reconstruction," Papers 1509.00607, arXiv.org.
    37. Temizsoy, Asena & Iori, Giulia & Montes-Rojas, Gabriel, 2017. "Network centrality and funding rates in the e-MID interbank market," Journal of Financial Stability, Elsevier, vol. 33(C), pages 346-365.
    38. Bonaccolto, Giovanni & Caporin, Massimiliano & Panzica, Roberto Calogero, 2017. "Estimation and model-based combination of causality networks," SAFE Working Paper Series 165, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    39. León, Carlos & Berndsen, Ron J., 2014. "Rethinking financial stability: Challenges arising from financial networks’ modular scale-free architecture," Journal of Financial Stability, Elsevier, vol. 15(C), pages 241-256.
    40. Cappelletti, Giuseppe & Mistrulli, Paolo Emilio, 2017. "Multiple lending, credit lines and financial contagion," Working Paper Series 2089, European Central Bank.
    41. Umberto Cherubini & Sabrina Mulinacci, 2015. "Systemic Risk with Exchangeable Contagion: Application to the European Banking System," Papers 1502.01918, arXiv.org.
    42. Leon Rincon, C.E., 2015. "Financial stability from a network perspective," Other publications TiSEM bb2e4e44-e842-45c6-a946-4, Tilburg University, School of Economics and Management.

  5. Bargigli, Leonardo & Gallegati, Mauro, 2012. "Finding communities in credit networks," Economics Discussion Papers 2012-41, Kiel Institute for the World Economy (IfW).

    Cited by:

    1. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Towards a credit network based early warning indicator for crises," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 78-97.
    2. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2015. "Network Structure Analysis of the Brazilian Interbank Market," Working Papers Series 391, Central Bank of Brazil, Research Department.
    3. Wäckerle, Manuel, 2013. "On the bottom-up foundations of the banking-macro nexus," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 7, pages 1-45.

  6. Stefano Viaggiu & Andrea Lionetto & Leonardo Bargigli & Michele Longo, 2011. "Statistical ensembles for money and debt," Papers 1109.0891, arXiv.org, revised Jul 2012.

    Cited by:

    1. Leonardo Bargigli, 2013. "Statistical Equilibrium Models for Sparse Economic Networks," Working Papers - Economics wp2013_25.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    2. Leonardo Bargigli & Renato Giannetti, 2015. "The Italian Corporate System: SOEs, Private Firms and Institutions in a Network Perspective (1952-1983)," Working Papers - Economics wp2015_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    3. Bicci, Alberto, 2016. "Limit order book and its modeling in terms of Gibbs Grand-Canonical Ensemble," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 516-524.
    4. Leonardo Bargigli & Giovanni di Iasio & Luigi Infante & Fabrizio Lillo & Federico Pierobon, 2015. "Interbank markets and multiplex networks: centrality measures and statistical null models," Papers 1501.05751, arXiv.org.
    5. Alberto Bicci, 2016. "Limit Order Book and its modelling in terms of Gibbs Grand-Canonical Ensemble," Papers 1602.06968, arXiv.org, revised Feb 2016.

Articles

  1. L. Bargigli & G. di Iasio & L. Infante & F. Lillo & F. Pierobon, 2015. "The multiplex structure of interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 673-691, April.
    See citations under working paper version above.
  2. 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.

    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. 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.
    3. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2015. "Stock Market Dynamics, Leveraged Network-Based Financial Accelerator and Monetary Policy," MPRA Paper 63622, University Library of Munich, Germany.
    4. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    5. Paolo Tasca & Stefano Battiston, "undated". "Market Procyclicality and Systemic Risk," Working Papers ETH-RC-12-012, ETH Zurich, Chair of Systems Design.

  3. Bargigli, Leonardo & Tedeschi, Gabriele, 2014. "Interaction in agent-based economics: A survey on the network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 1-15.

    Cited by:

    1. Berardi, Simone & Tedeschi, Gabriele, 2015. "From banks' strategies to financial (in)stability," FinMaP-Working Papers 47, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    2. Alexei P Kireyev & Andrei Leonidov, 2015. "Network Effects of International Shocks and Spillovers," IMF Working Papers 15/149, International Monetary Fund.
    3. 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.
    4. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.

  4. Bargigli, Leonardo & Gallegati, Mauro, 2013. "Finding communities in credit networks," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 7, pages 1-39.
    See citations under working paper version above.
  5. Leonardo Bargigli & Gabriele Tedeschi, 2013. "Major trends in agent-based economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 211-217, October.

    Cited by:

    1. Alexei P Kireyev & Andrei Leonidov, 2015. "Network Effects of International Shocks and Spillovers," IMF Working Papers 15/149, International Monetary Fund.

  6. Viaggiu, Stefano & Lionetto, Andrea & Bargigli, Leonardo & Longo, Michele, 2012. "Statistical ensembles for money and debt," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4839-4849.
    See citations under working paper version above.
  7. Bargigli, Leonardo & Gallegati, Mauro, 2011. "Random digraphs with given expected degree sequences: A model for economic networks," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 396-411, May.

    Cited by:

    1. 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.
    2. L. Bargigli & G. di Iasio & L. Infante & F. Lillo & F. Pierobon, 2015. "The multiplex structure of interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 673-691, April.
    3. Bargigli, Leonardo & Gallegati, Mauro, 2013. "Finding communities in credit networks," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 7, pages 1-39.
    4. Leonardo Bargigli, 2013. "Statistical Equilibrium Models for Sparse Economic Networks," Working Papers - Economics wp2013_25.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    5. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Towards a credit network based early warning indicator for crises," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 78-97.
    6. Leonardo Bargigli & Giovanni di Iasio & Luigi Infante & Fabrizio Lillo & Federico Pierobon, 2015. "Interbank markets and multiplex networks: centrality measures and statistical null models," Papers 1501.05751, arXiv.org.
    7. Giorgio Fagiolo & Tiziano Squartini & Diego Garlaschelli, 2011. "Null Models of Economic Networks: The Case of the World Trade Web," LEM Papers Series 2011/26, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. 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.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 9 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-NET: Network Economics (5) 2006-03-05 2012-09-09 2014-01-10 2014-01-10 2015-01-26. Author is listed
  2. NEP-BAN: Banking (3) 2012-09-09 2013-11-29 2014-01-10
  3. NEP-CMP: Computational Economics (3) 2006-03-05 2012-09-09 2016-03-23
  4. NEP-HME: Heterodox Microeconomics (2) 2015-01-26 2016-03-23
  5. NEP-CBA: Central Banking (1) 2012-09-09
  6. NEP-ECM: Econometrics (1) 2014-01-10
  7. NEP-HIS: Business, Economic & Financial History (1) 2015-01-26
  8. NEP-INO: Innovation (1) 2006-03-05
  9. NEP-MAC: Macroeconomics (1) 2014-01-10
  10. NEP-MON: Monetary Economics (1) 2011-09-16
  11. NEP-RMG: Risk Management (1) 2012-09-09
  12. NEP-TID: Technology & Industrial Dynamics (1) 2006-03-05

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IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.