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Michele Catalano

Personal Details

First Name:Michele
Middle Name:
Last Name:Catalano
Suffix:
RePEc Short-ID:pca1256
[This author has chosen not to make the email address public]

Affiliation

Dipartimento di Scienze Economiche e Sociali
Facoltà di Economia "Giorgio Fuà"
Università Politecnica delle Marche

Ancona, Italy
http://www.dises.univpm.it/
RePEc:edi:deancit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Catalano,Michele & Forni,Lorenzo, 2022. "Fiscal Policies for a Sustainable Recovery and a Green Transformation," Policy Research Working Paper Series 9799, The World Bank.
  2. Michele Catalano & Lorenzo Forni & Emilia Pezzolla, 2020. "Fiscal tools to reduce transition costs of climate change mitigation," "Marco Fanno" Working Papers 0265, Dipartimento di Scienze Economiche "Marco Fanno".
  3. Elizabeth Jane Casabianca & Michele Catalano & Lorenzo Forni & Elena Giarda & Simone Passeri, 2019. "An Early Warning System for banking crises: From regression-based analysis to machine learning techniques," "Marco Fanno" Working Papers 0235, Dipartimento di Scienze Economiche "Marco Fanno".
  4. 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.
  5. Teglio, Andrea & Catalano, Michele & Petrovic, Marko, 2014. "Myopic households on a stable path: the neoclassical growth model with rule-based expectations," MPRA Paper 120253, University Library of Munich, Germany.
  6. Buss, Georg & Parasie, Nils & Veit, Daniel & Catalano, Michele & Chacin, Pablo & Chao, Isaac & Freitag, Felix & Navarro, Leandro & Rana, Omer F. & Joita, Liviu & Schnizler, Björn & Streitberger, Werne, 2007. "Performance Evaluation - Annual Report Year 3," Bayreuth Reports on Information Systems Management 28, University of Bayreuth, Chair of Information Systems Management.
  7. E. Gaffeo & M. Catalano & F. Clementi & D. Delli Gatti & M. Gallegati & A. Russo, 2006. "Reflections on Modern Macroeconomics: Can We Travel Along a Safer Road?," Papers physics/0608148, arXiv.org.
  8. Ardaiz, Oscar & Catalano, Michele & Chacin, Pablo & Chao, Isaac & Cruellas, Juan Carlos & Freitag, Felix & Medina, Manuel & Navarro, Leandro & Valero, Miguel & Joita, Liviu & Rana, Omer F. & Schnizler, 2006. "Performance Evaluation - Annual Report Year 2," Bayreuth Reports on Information Systems Management 14, University of Bayreuth, Chair of Information Systems Management.
  9. Schnizler, Björn & Neumann, Dirk & Veit, Daniel & Napoletano, Mauro & Catalano, Michele & Gallegati, Mauro & Reinicke, Michael & Streitberger, Werner & Eymann, Torsten, 2005. "Environmental analysis for application layer networks," Bayreuth Reports on Information Systems Management 1, University of Bayreuth, Chair of Information Systems Management.
  10. Catalano, Michele & Giulioni, Gianfranco & Streitberger, Werner & Reinicke, Michael & Eymann, Torsten, 2005. "Evaluation and metrics framework," Bayreuth Reports on Information Systems Management 6, University of Bayreuth, Chair of Information Systems Management.

Articles

  1. Domenico, Jacopo Di & Catalano, Michele & Riccetti, Luca, 2025. "Scaling and forecasting in a data-driven agent-based model: Applications to the Italian macroeconomy," Economic Modelling, Elsevier, vol. 147(C).
  2. Casabianca, Elizabeth Jane & Catalano, Michele & Forni, Lorenzo & Giarda, Elena & Passeri, Simone, 2022. "A machine learning approach to rank the determinants of banking crises over time and across countries," Journal of International Money and Finance, Elsevier, vol. 129(C).
  3. Bonucchi, Manuel & Catalano, Michele, 2022. "How severe are the EBA macroeconomic scenarios for the Italian Economy? A joint probability approach," Journal of International Money and Finance, Elsevier, vol. 129(C).
  4. Michele Catalano & Emilia Pezzolla, 2022. "Global natural projections," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(4), pages 949-990, November.
  5. Catalano, Michele & Forni, Lorenzo & Pezzolla, Emilia, 2020. "Climate-change adaptation: The role of fiscal policy," Resource and Energy Economics, Elsevier, vol. 59(C).
  6. Catalano, Michele & Di Guilmi, Corrado, 2019. "Uncertainty, rationality and complexity in a multi-sectoral dynamic model: The dynamic stochastic generalized aggregation approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 117-144.
  7. Michele Catalano & Emilia Pezzolla, 2017. "The Italian Labor Market Reform: An Evaluation of the Jobs Act Using the Prometeia DSGE Model," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(2), pages 209-238, July.
  8. Michele Catalano & Emilia Pezzolla, 2016. "The effects of education and aging in an OLG model: long-run growth in France, Germany and Italy," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(4), pages 757-800, November.
  9. Michele Catalano & Emilia Pezzolla, 2015. "The interaction between the labour tax wedge and structural reforms in Italy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 185-223.
  10. Russo, Alberto & Catalano, Michele & Gaffeo, Edoardo & Gallegati, Mauro & Napoletano, Mauro, 2007. "Industrial dynamics, fiscal policy and R&D: Evidence from a computational experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 426-447.
  11. Gaffeo, E. & Catalano, M. & Clementi, F. & Delli Gatti, D. & Gallegati, M. & Russo, A., 2007. "Reflections on modern macroeconomics: Can we travel along a safer road?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 89-97.

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. Michele Catalano & Lorenzo Forni & Emilia Pezzolla, 2020. "Fiscal tools to reduce transition costs of climate change mitigation," "Marco Fanno" Working Papers 0265, Dipartimento di Scienze Economiche "Marco Fanno".

    Cited by:

    1. Francesco Giovanardi & Matthias Kaldorf & Lucas Radke & Florian Wicknig, 2021. "The Preferential Treatment of Green Bonds," ECONtribute Discussion Papers Series 098, University of Bonn and University of Cologne, Germany.

  2. Elizabeth Jane Casabianca & Michele Catalano & Lorenzo Forni & Elena Giarda & Simone Passeri, 2019. "An Early Warning System for banking crises: From regression-based analysis to machine learning techniques," "Marco Fanno" Working Papers 0235, Dipartimento di Scienze Economiche "Marco Fanno".

    Cited by:

    1. Chris Reimann, 2024. "Predicting financial crises: an evaluation of machine learning algorithms and model explainability for early warning systems," Review of Evolutionary Political Economy, Springer, vol. 5(1), pages 51-83, June.
    2. du Plessis, Emile & Fritsche, Ulrich, 2022. "New forecasting methods for an old problem: Predicting 147 years of systemic financial crises," WiSo-HH Working Paper Series 67, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    3. Huynh, Tran & Uebelmesser, Silke, 2024. "Early warning models for systemic banking crises: Can political indicators improve prediction?," European Journal of Political Economy, Elsevier, vol. 81(C).
    4. Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2023. "Credit growth, the yield curve and financial crisis prediction: Evidence from a machine learning approach," Journal of International Economics, Elsevier, vol. 145(C).
    5. Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
    6. Alexandr Patalaha & Maria A. Shchepeleva, 2023. "Bank Crisis Management Policies and the New Instability," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 43-60, December.
    7. Paraskevi K. Salamaliki & Ioannis A. Venetis, 2024. "Fiscal Space and Policy Response to Financial Crises: Market Access and Deficit Concerns," Open Economies Review, Springer, vol. 35(2), pages 323-361, April.
    8. Pedro Guerra & Mauro Castelli & Nadine Côrte-Real, 2022. "Approaching European Supervisory Risk Assessment with SupTech: A Proposal of an Early Warning System," Risks, MDPI, vol. 10(4), pages 1-23, March.
    9. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.

  3. 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.

    Cited by:

    1. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(C).
    2. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph E. Stiglitz & Tania Treibich, 2020. "Rational Heuristics? Expectations And Behaviors In Evolving Economies With Heterogeneous Interacting Agents," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1487-1516, July.
    3. Proaño, Christian R. & Lojak, Benjamin, 2020. "Animal spirits, risk premia and monetary policy at the zero lower bound," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 221-233.
    4. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.

  4. E. Gaffeo & M. Catalano & F. Clementi & D. Delli Gatti & M. Gallegati & A. Russo, 2006. "Reflections on Modern Macroeconomics: Can We Travel Along a Safer Road?," Papers physics/0608148, arXiv.org.

    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. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    3. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    4. Russo, Alberto & Riccetti, Luca & Gallegati, Mauro, 2013. "Increasing Inequality and Financial Fragility in an An Agent Based Macroeconomic Model," MPRA Paper 51528, University Library of Munich, Germany.
    5. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    6. Wright, Ian, 2008. "Implicit Microfoundations for Macroeconomics," Economics Discussion Papers 2008-41, Kiel Institute for the World Economy (IfW Kiel).
    7. 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.
    8. Colombier, Carsten, 2011. "Konjunktur und Wachstum [Business cycles fluctuations and long-term growth]," MPRA Paper 104739, University Library of Munich, Germany.
    9. Edoardo Gaffeo & Domenico Delli Gatti & Saul Desiderio & Mauro Gallegati, 2008. "Adaptive microfoundations for emergent macroeconomics," Department of Economics Working Papers 0802, Department of Economics, University of Trento, Italia.
    10. N. J. Moura & M. B. Ribeiro, 2009. "Evidence for the Gompertz curve in the income distribution of Brazil 1978–2005," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 67(1), pages 101-120, January.
    11. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.

  5. Schnizler, Björn & Neumann, Dirk & Veit, Daniel & Napoletano, Mauro & Catalano, Michele & Gallegati, Mauro & Reinicke, Michael & Streitberger, Werner & Eymann, Torsten, 2005. "Environmental analysis for application layer networks," Bayreuth Reports on Information Systems Management 1, University of Bayreuth, Chair of Information Systems Management.

    Cited by:

    1. Veit, Daniel & Buss, Georg & Schnizler, Björn & Neumann, Dirk & Streitberger, Werner & Eymann, Torsten, 2007. "Theoretical and Computational Basis for CATNETS - Annual Report Year 3," Bayreuth Reports on Information Systems Management 23, University of Bayreuth, Chair of Information Systems Management.
    2. Eymann, Torsten & Streitberger, Werner & Veit, Daniel & Buss, Georg & Schnizler, Björn & Neumann, Dirk, 2006. "Theoretical and Computational Basis for CATNETS - Annual Report Year 2," Bayreuth Reports on Information Systems Management 9, University of Bayreuth, Chair of Information Systems Management.

  6. Catalano, Michele & Giulioni, Gianfranco & Streitberger, Werner & Reinicke, Michael & Eymann, Torsten, 2005. "Evaluation and metrics framework," Bayreuth Reports on Information Systems Management 6, University of Bayreuth, Chair of Information Systems Management.

    Cited by:

    1. Veit, Daniel & Buss, Georg & Schnizler, Björn & Neumann, Dirk & Streitberger, Werner & Eymann, Torsten, 2007. "Theoretical and Computational Basis for CATNETS - Annual Report Year 3," Bayreuth Reports on Information Systems Management 23, University of Bayreuth, Chair of Information Systems Management.

Articles

  1. Domenico, Jacopo Di & Catalano, Michele & Riccetti, Luca, 2025. "Scaling and forecasting in a data-driven agent-based model: Applications to the Italian macroeconomy," Economic Modelling, Elsevier, vol. 147(C).

    Cited by:

    1. Marcello Nieddu & Marco Raberto & Andrea Teglio, 2025. "The importance of being many: dynamics, interaction and aggregation in a multi-sector economy," Working Papers 2025: 04, Department of Economics, University of Venice "Ca' Foscari".

  2. Casabianca, Elizabeth Jane & Catalano, Michele & Forni, Lorenzo & Giarda, Elena & Passeri, Simone, 2022. "A machine learning approach to rank the determinants of banking crises over time and across countries," Journal of International Money and Finance, Elsevier, vol. 129(C).
    See citations under working paper version above.
  3. Catalano, Michele & Forni, Lorenzo & Pezzolla, Emilia, 2020. "Climate-change adaptation: The role of fiscal policy," Resource and Energy Economics, Elsevier, vol. 59(C).

    Cited by:

    1. Maximilian Kellner & Marco Runkel, 2024. "Climate policy and optimal public debt," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(6), pages 1584-1610, December.
    2. Marion Davin & Mouez Fodha & Thomas Seegmuller, 2025. "Pollution, public debt, and growth: the question of sustainability," Post-Print hal-04990924, HAL.
    3. Mireille Chiroleu-Assouline & Mouez Fodha, 2023. "Debt, tax and environmental policy [Dette, taxe et politique environnementale]," PSE-Ecole d'économie de Paris (Postprint) halshs-04181981, HAL.
    4. Marion Davin & Mouez Fodha & Thomas Seegmuller, 2025. "Pollution, public debt, and growth: the question of sustainability," PSE-Ecole d'économie de Paris (Postprint) hal-04990924, HAL.
    5. Stefan Mittnik & Willi Semmler & Alexander Haider, 2019. "Climate Disaster Risks – Empirics and a Multi-Phase Dynamic Model," IMF Working Papers 2019/145, International Monetary Fund.
    6. Avgousti, Aris & Caprioli, Francesco & Caracciolo, Giacomo & Cochard, Marion & Dallari, Pietro & Delgado-Téllez, Mar & Domingues, João & Ferdinandusse, Marien & Filip, Daniela & Nerlich, Carolin & Pra, 2023. "The climate change challenge and fiscal instruments and policies in the EU," Occasional Paper Series 315, European Central Bank.
    7. Michele Catalano & Lorenzo Forni & Emilia Pezzolla, 2020. "Fiscal tools to reduce transition costs of climate change mitigation," "Marco Fanno" Working Papers 0265, Dipartimento di Scienze Economiche "Marco Fanno".
    8. World Bank, 2024. "Kazakhstan: Strengthening Public Finance for Inclusive and Resilient Growth," World Bank Publications - Reports 41162, The World Bank Group.
    9. Ioana-Laura Țibulcă, 2021. "Debt Sustainability: Can EU Member States Use Environmental Taxes to Regain Fiscal Space?," Sustainability, MDPI, vol. 13(11), pages 1-15, May.
    10. Runkel, Marco & Kellner, Maximilian, 2018. "Climate Policy and Optimal Public Debt," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181639, Verein für Socialpolitik / German Economic Association.
    11. Qi, Yu & Zhang, Hongxuan & Shao, Shuai, 2024. "Valuing high temperature's fiscal costs: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 134-152.
    12. Lesly Cassin & Paolo Melindi-Ghidi & Fabien Prieur, 2022. "Confronting climate change: Adaptation vs. migration in Small Island Developing States," Post-Print hal-03641883, HAL.
    13. Ahmed Imran Hunjra & Muhammad Azam & Mamdouh Abdulaziz Saleh Al‐Faryan, 2024. "The nexus between climate change risk and financial policy uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1401-1416, April.
    14. Zhao Zhang & Caoyuan Ma & Aiping Wang, 2023. "Environmental Governance, Public Health Expenditure, and Economic Growth: Analysis in an OLG Model," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    15. Marion Davin & Mouez Fodha & Thomas Seegmuller, 2024. "Pollution, public debt, and growth: The question of sustainability," AMSE Working Papers 2418, Aix-Marseille School of Economics, France.
    16. Bo Zhao, 2022. "The Effects of Weather on Massachusetts Municipal Expenditures: Implications of Climate Change for Local Governments in New England," New England Public Policy Center Research Report 22-2, Federal Reserve Bank of Boston.
    17. Haorui Wu, 2021. "When Housing and Communities Were Delivered: A Case Study of Post-Wenchuan Earthquake Rural Reconstruction and Recovery," Sustainability, MDPI, vol. 13(14), pages 1-18, July.
    18. Drudi, Francesco & Moench, Emanuel & Holthausen, Cornelia & Weber, Pierre-François & Ferrucci, Gianluigi & Setzer, Ralph & Adao, Bernardino & Dées, Stéphane & Alogoskoufis, Spyros & Téllez, Mar Delgad, 2021. "Climate change and monetary policy in the euro area," Occasional Paper Series 271, European Central Bank.
    19. Philipp Heimberger & Andreas Lichtenberger, 2023. "RRF 2.0: A Permanent EU Investment Fund in the Context of the Energy Crisis, Climate Change and EU Fiscal Rules," wiiw Policy Notes 63, The Vienna Institute for International Economic Studies, wiiw.
    20. Natali Hritonenko & Victoria Hritonenko & Yuri Yatsenko, 2020. "Games with Adaptation and Mitigation," Games, MDPI, vol. 11(4), pages 1-16, December.

  4. Catalano, Michele & Di Guilmi, Corrado, 2019. "Uncertainty, rationality and complexity in a multi-sectoral dynamic model: The dynamic stochastic generalized aggregation approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 117-144.
    See citations under working paper version above.
  5. Michele Catalano & Emilia Pezzolla, 2017. "The Italian Labor Market Reform: An Evaluation of the Jobs Act Using the Prometeia DSGE Model," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(2), pages 209-238, July.

    Cited by:

    1. Guerrazzi, Marco & Ksebi, Ilham, 2018. "Measuring unemployment by means of official data and administrative records: Empirical and theoretical perspectives," MPRA Paper 87227, University Library of Munich, Germany.
    2. Elena Bastianelli & Daniele Vignoli, 2021. "Instability of Employment Careers and Union Dissolution. A Complex Micro-level Relation," Econometrics Working Papers Archive 2021_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    3. Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2021. "Italian Labour Frictions and Wage Rigidities in an Estimated DSGE," CIRANO Working Papers 2021s-33, CIRANO.
    4. Elena Bastianelli & Daniele Vignoli, 2022. "The Gendered Relationship Between (Old and New Forms of) Employment Instability and Union Dissolution," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 1021-1048, June.
    5. Luca Cattani & Giovanni Guidetti & Giulio Pedrini, 2021. "Work Flexibility and Workplace Training in Italy Before and After the Jobs Act Reform," Review of Economics and Institutions, Università di Perugia, vol. 12(1).
    6. Shobande Olatunji Abdul & Shodipe Oladimeji Tomiwa, 2019. "New Keynesian Liquidity Trap and Conventional Fiscal Stance: An Estimated DSGE Model," Economics and Business, Sciendo, vol. 33(1), pages 152-169, January.

  6. Michele Catalano & Emilia Pezzolla, 2016. "The effects of education and aging in an OLG model: long-run growth in France, Germany and Italy," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(4), pages 757-800, November.

    Cited by:

    1. Aleksandra Kolasa, 2017. "Macroeconomic consequences of the demographic and educational transition in Poland," Working Papers 2017-30, Faculty of Economic Sciences, University of Warsaw.
    2. Ma, Yu & Zhang, Tingting & Qian, Wenyu & Wei, Danqi, 2022. "Financial development, demographic changes, and the growth of the non-hydro renewable energy Industry—An empirical test based on R&D and financing costs," Renewable Energy, Elsevier, vol. 185(C), pages 217-229.
    3. Michael Böheim & Harald Oberhofer, 2016. "Special Issue: Challenges for Europe 2050: Selected papers of the EUROFRAME Conference 2015 and the WWWforEurope Project," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(4), pages 657-660, November.
    4. Michele Catalano & Emilia Pezzolla, 2022. "Global natural projections," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(4), pages 949-990, November.
    5. Catalano, Michele & Forni, Lorenzo & Pezzolla, Emilia, 2020. "Climate-change adaptation: The role of fiscal policy," Resource and Energy Economics, Elsevier, vol. 59(C).
    6. Zhiwei Liu & Yonglei Fang & Lei Ma, 2022. "A Study on the Impact of Population Age Structure Change on Economic Growth in China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    7. Jeongseok Song & Doojin Ryu, 2018. "Aging effects on consumption risk-sharing channels in European countries," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 585-617.
    8. Valerija Botric & Tanja Broz, 2017. "Gender Differences in Financial Inclusion: Central and South Eastern Europe," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 15(2), pages 209-227.
    9. Thomas Davoine, 2018. "Population Aging and Cross-Country Redistribution in Integrated Capital Markets," EconPol Working Paper 9, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    10. Martin Stepanek, 2022. "Sectoral Impacts of International Labour Migration and Population Ageing in the Czech Republic," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 375-400, August.

  7. Michele Catalano & Emilia Pezzolla, 2015. "The interaction between the labour tax wedge and structural reforms in Italy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 185-223.

    Cited by:

    1. Bulent Diclehan Cadirci & Mustafa Tekdere, 2022. "The Effect of Economic Uncertainty on the Tax Wedge: The Case of Selected OECD Countries," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 72(72-2), pages 787-822, December.
    2. Michele Catalano & Emilia Pezzolla, 2017. "The Italian Labor Market Reform: An Evaluation of the Jobs Act Using the Prometeia DSGE Model," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(2), pages 209-238, July.
    3. Alho, Kari E.O., 2015. "Structural Reforms and Stabilization Policies in the Euro Area," ETLA Working Papers 31, The Research Institute of the Finnish Economy.

  8. Russo, Alberto & Catalano, Michele & Gaffeo, Edoardo & Gallegati, Mauro & Napoletano, Mauro, 2007. "Industrial dynamics, fiscal policy and R&D: Evidence from a computational experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 426-447.

    Cited by:

    1. 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).
    2. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    3. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    4. Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the "Entrepreneurial State" at Work: An Agent-Based Exploration," GREDEG Working Papers 2021-25, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    5. Dawid, H. & Harting, P. & Neugart, Michael, 2017. "Fiscal transfers and regional economic growth," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110859, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    7. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    8. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," SciencePo Working papers Main hal-01070338, HAL.
    9. Alan G. Isaac, 2019. "Exploring the Social-Architecture Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 565-589, October.
    10. Chen, Siyan & Desiderio, Saul, 2017. "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers 2017-65, Kiel Institute for the World Economy (IfW Kiel).
    11. 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.
    12. Luca Eduardo Fierro & Federico Giri & Alberto Russo, 2023. "Inequality-Constrained Monetary Policy in a Financialized Economy," Working Papers 2023/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    13. 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.
    14. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    15. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    16. 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.
    17. Catalano, Michele & Di Guilmi, Corrado, 2019. "Uncertainty, rationality and complexity in a multi-sectoral dynamic model: The dynamic stochastic generalized aggregation approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 117-144.
    18. Marco Bardoscia & Adrian Carro & Marc Hinterschweiger & Mauro Napoletano & Lilit Popoyan & Andrea Roventini & Arzu Uluc, 2025. "The impact of prudential regulation on the UK housing market and economy: Insights from an agent-based model," SciencePo Working papers Main hal-04884512, HAL.
    19. 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.
    20. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model," Documents de Travail de l'OFCE 2012-06, Observatoire Francais des Conjonctures Economiques (OFCE).
    21. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2016. "The Short- and Long-Run Damages of Fiscal Austerity: Keynes beyond Schumpeter," International Economic Association Series, in: Joseph E. Stiglitz & Martin Guzman (ed.), Contemporary Issues in Macroeconomics, chapter 8, pages 79-100, Palgrave Macmillan.
    22. Gobbi, Alessandro & Grazzini, Jakob, 2019. "A basic New Keynesian DSGE model with dispersed information: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 101-116.
    23. G. Dosi, 2012. "Economic Coordination and Dynamics: Some Elements of an Alternative “Evolutionary” Paradigm," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 12.
    24. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," Post-Print hal-03461262, HAL.
    25. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," EconomiX Working Papers 2012-17, University of Paris Nanterre, EconomiX.
    26. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    27. Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2018. "No man is an island : the impact of heterogeneity and local interactions on macroeconomics dynamics," Post-Print hal-03609582, HAL.
    28. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    29. Ermanno Catullo & Mauro Gallegati & Alberto Russo, 2020. "Forecasting in a complex environment: Machine learning sales expectations in a Stock Flow Consistent Agent-Based simulation model," Working Papers 2020/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    30. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    31. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary Policy and Large Crises in a Financial Accelerator Agent-Based Model," MPRA Paper 70371, University Library of Munich, Germany.
    32. 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.
    33. Igor Kheifets, 2011. "Goodness-of-fit testing (in Russian)," Quantile, Quantile, issue 9, pages 25-34, July.
    34. Stefania VITALI & Gabriele TEDESCHI, 2011. "The impact of classes of innovators on Technology, Financial Fragility and Economic Growth," Working Papers 370, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    35. Edoardo Gaffeo & Domenico Delli Gatti & Saul Desiderio & Mauro Gallegati, 2008. "Adaptive microfoundations for emergent macroeconomics," Department of Economics Working Papers 0802, Department of Economics, University of Trento, Italia.
    36. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    37. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.
    38. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 261-283, November.
    39. Alessandro Caiani & Antoine Godin & Stefano Lucarelli, 2014. "Innovation and finance: a stock flow consistent analysis of great surges of development," Journal of Evolutionary Economics, Springer, vol. 24(2), pages 421-448, April.
    40. 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.
    41. Chu, Zhuang & Yang, Biao & Ha, Chang Yong & Ahn, Kwangwon, 2018. "Modeling GDP fluctuations with agent-based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 572-581.
    42. Antonio Acconcia & Sergio Beraldo & Carlo Capuano & Marco Stimolo, 2022. "Public subsidies and cooperation in research and development. Evidence from the lab," Working Papers 2022.02, Fondazione Eni Enrico Mattei.
    43. Roberto Veneziani & Luca Zamparelli & Corrado Di Guilmi, 2017. "The Agent-Based Approach To Post Keynesian Macro-Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    44. Giovanni Dosi, 2023. "Why is economics the only discipline with so many curves going up and down? There is an alternative," LEM Papers Series 2023/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    45. Severin Reissl, 2022. "Fiscal multipliers, expectations and learning in a macroeconomic agent‐based model," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1704-1729, October.
    46. Giovanni Dosi, 2022. "The Agenda for Evolutionary Economics: Results, Dead Ends, and Challenges Ahead," LEM Papers Series 2022/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    47. 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.
    48. Shigeaki Ogibayashi & Kosei Takashima, 2017. "Influential factors responsible for the effect of tax reduction on GDP," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 431-449, December.
    49. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy (IfW Kiel).
    50. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046, June.
    51. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    52. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.
    53. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.

  9. Gaffeo, E. & Catalano, M. & Clementi, F. & Delli Gatti, D. & Gallegati, M. & Russo, A., 2007. "Reflections on modern macroeconomics: Can we travel along a safer road?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 89-97.
    See citations under working paper version above.

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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-ENE: Energy Economics (2) 2021-02-08 2022-10-31
  2. NEP-ENV: Environmental Economics (2) 2021-02-08 2022-10-31
  3. NEP-MAC: Macroeconomics (2) 2016-04-30 2019-08-12
  4. NEP-UPT: Utility Models and Prospect Theory (2) 2016-04-30 2024-03-18
  5. NEP-AGR: Agricultural Economics (1) 2021-02-08
  6. NEP-BAN: Banking (1) 2019-08-12
  7. NEP-BIG: Big Data (1) 2019-08-12
  8. NEP-CMP: Computational Economics (1) 2019-08-12
  9. NEP-DCM: Discrete Choice Models (1) 2019-08-12
  10. NEP-DGE: Dynamic General Equilibrium (1) 2024-03-18
  11. NEP-GRO: Economic Growth (1) 2024-03-18
  12. NEP-ORE: Operations Research (1) 2016-04-30
  13. NEP-REG: Regulation (1) 2021-02-08
  14. NEP-RMG: Risk Management (1) 2019-08-12

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