giorgio Fagiolo

Short Bio

I am Full Professor of Economics at the Institute of Economics, Sant’Anna School of Advanced Studies. 

My research interests include agent-based computational economics; empirics and theory of economic networks; climate change and development economics, and the statistical properties of microeconomic and macroeconomic dynamics (see below for more info).

My papers have been published in: Science, Nature Scientific Data, J of Economic Geography, World Development, J of Applied Econometrics, PLoS ONE, J of Economic Dynamics & Control, Nature Scientific Reports, Environmental Research Letters, Physica A, New J of Physics, Physical Review E, J of Economic Behavior & Organization, Macroeconomic Dynamics, Industrial & Corporate Change, Advances in Complex Systems, Frontiers in Human Dynamics, Economies, Global Environmental Change, J of Evolutionary Economics, J of Economic Interaction & Coordination, European Physical J B, Network Science, Regional Studies, Empirical Economics, Knowledge Engineering Review, Applied Network Science, The J of International Trade & Economic Development, J of Artificial Societies and Social Simulations, Applied Economics Letters, Cybernetics and Systems, Economics Bulletin, Eastern European Economics.

Click here to download my CV.

On the Spotlight 

Additional Current Work  

Zema, S.M., Fagiolo, G., Squartini, T. and Garlaschelli, D. (2024), "Mesoscopic Structure of the Stock Market and Portfolio Optimization", Journal of Economic Interaction and Coordination. Published: 17 September 2024.

Ferraresi, T., Ghezzi, L., Vanni, F., Caiani, A., Guerini, M., Lamperti, F., Reissl, S., Fagiolo, G., Napoletano, M. and Roventini, A. (2024), "On the economic and health impact of the COVID-19 shock on Italian regions: A value chain approach", Regional Studies, 58:3, 490-506, DOI: 10.1080/00343404.2023.2189508

Fagiolo, G. and Luzzati, D.S. (2023), Centrality in the macroeconomic multi-network explains the spatiotemporal distribution of country per-capita income, Applied Network Science, 8, 59.

Cresti, L. , Dosi, G. and Fagiolo, G. (2023), "Technological interdependencies and employment changes in European industries", Structural Change & Economic Dynamics, 64: 41-57. A previous version is available as LEM Working Paper Series, No. 2022/05.

Fagiolo, G. and Rughi, T. (2023), "Exploring the Macroeconomic Drivers of International Bilateral Remittance Flows: A Gravity-Model Approach", Economies, 11(7), 195.

• Application of agent-based models (ABMs) to industry dynamics; economic growth; labor market dynamics; firm investment; business-cycle theory.

• Methodology of ABMs: statistical analysis of ABMs; empirical validation and estimation; epistemology of ACE; policy implications in ABMs.

• Theory: Network games with endogenous link formation; diffusion of economic shocks in meso- and macro-economic networks; null models of economic networks.

• Empirics: Statistical properties of economic networks. Applications include: international trade; international migration and mobility; food and sustainability; international financial flows; international investment networks; input-output networks and global-value chains; infrastructure networks.

• Econometrics: Impact of network structure on economic behavior.

• Environmental migration.

• Household resilience and vulnerability.

• Climate data weighted by economic activity.

• Fat tails and the distributions of country-output growth rates.

• Statistical properties of household consumption patterns.

• Industrial agglomeration and spatial concentration.

• The impact of financial structure on firm size and growth dynamics.

Delli Gatti, D., Fagiolo, G., Gallegati, M., Richiardi, M. and Russo, A. (2018), Agent-Based Models in Economics: A Toolkit, Cambridge University Press, ISBN: 9781108400046.

1. Zema, S.M., Fagiolo, G., Squartini, T. and Garlaschelli, D. (2024), "Mesoscopic Structure of the Stock Market and Portfolio Optimization", Journal of Economic Interaction and Coordination. Published: 17 September 2024.

2. Gortan, M., Testa, L., Fagiolo, G. and Lamperti, F. (2024), "A unified dataset for pre-processed climate indicators weighted by gridded economic activity", Scientific Data, 11: 533.

3. Ferraresi, T., Ghezzi, L., Vanni, F., Caiani, A., Guerini, M., Lamperti, F., Reissl, S., Fagiolo, G., Napoletano, M. and Roventini, A. (2024), "On the economic and health impact of the COVID-19 shock on Italian regions: A value chain approach", Regional Studies, 58:3, 490-506.

4. Fagiolo, G. and Luzzati, D.S. (2023), Centrality in the macroeconomic multi-network explains the spatiotemporal distribution of country per-capita income, Applied Network Science, 8, 59.

5. Fagiolo, G. and Rughi, T. (2023), "Exploring the Macroeconomic Drivers of International Bilateral Remittance Flows: A Gravity-Model Approach", Economies, 11(7), 195.

6. Cresti, L. , Dosi, G. and Fagiolo, G. (2023), "Technological interdependencies and employment changes in European industries", Structural Change & Economic Dynamics, 64: 41-57.

7. Reissl, S. , Caiani, A.,  Lamperti, F., Guerini, M., Vanni, F., Fagiolo, G., Ferraresi, T., Ghezzi, L., Napoletano, M. and Roventini, A. (2022), "Assessing the Economic Effects of Lockdowns in Italy: A Dynamic Input-Output Approach", Industrial and Corporate Change, 31, 2: 358–409.

8. Esposito, C., Gortan, M., Testa, L., Chiaromonte, F., Fagiolo, G., Mina, A. and Rossetti, G. (2022), "Venture capital investments through the lens of network and functional data analysis", Applied Network Science, 7, 42.

9. Fagiolo, G. (2022), "On the Coevolution between Social Network Structure and Diffusion of the Coronavirus (COVID-19) in Spatial Compartmental Epidemic Models", Frontiers in Human Dynamics - Social Networks, 4 March 2022, doi: 10.3389/fhumd.2022.825665.

10. Campi, M., Duenas, M. and Fagiolo, G. (2021), "Specialization in food production affects global food security and food systems sustainability", World Development, 141: 105411.

11. Campi, M., Duenas, M. and Fagiolo, G. (2020), "How do countries specialize in food production? A complex-network analysis of the global agricultural product space", Environmental  Research Letters, Volume 15, Number 12 https://dx.doi.org/10.1088/1748-9326/abc2f6.

12. Fagiolo, G., Giachini, D. and Roventini, A. (2020), “Innovation, finance, and economic growth: an agent-based approach”, Journal of Economic Interaction and Coordination, 15, 703–736.

13. Bonaccorsi, G., Riccaboni, M., Fagiolo, G. and Santoni, G. (2019), "Country centrality in the international multiplex network", Applied Network Science, 4: 126. 

14. Campi, M., Duenas, M., Barigozzi M. and Fagiolo, G. (2019), “Intellectual property rights, imitation, and development. The effect on cross-border mergers and acquisitions”, The Journal of International Trade & Economic Development, 28:230-256

15. Calastri, C., Borghesi, S. and Fagiolo, G. (2019), “How do people choose their commuting mode? An evolutionary approach to travel choices”, Economia Politica, 36: 887-912.

16. Abbate, A., De Benedictis, L., Fagiolo, G. and Tajoli, L. (2018) “Distance-varying assortativity and clustering of the international trade network”, Network Science, 6: 517-544.

17. Torreggiani, S., Mangioni, G., Puma, M. and Fagiolo, G. (2017), “Identifying the community structure of the world food-trade multi-layer network”, Environmental Research Letters, 13: 5.

18. Duenas, M., Mastrandrea, R., Barigozzi, M. and Fagiolo, G. (2017), “Spatio-Temporal Patterns of the International Merger and Acquisition Network”, Scientific Reports 7, doi:10.1038/s41598-017-10779-z.

19. Fagiolo, G. and Roventini, A. (2017), “Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead”, Journal of Artificial Societies and Social Simulations (JASSS), 20 (1) 1. 

20. Molinari, M., Giannangeli, S., and Fagiolo, G. (2016), “Financial Structure and Corporate Growth: Evidence from Italian Panel Data”, Economic Notes, 45: 303-325. 

21. Fagiolo, G. and Santoni, G. (2016), “Revisiting the role of migrant social networks as determinants of international migration flows”, Applied Economics Letters, 23: 188-193.

22. Jacob Leal, S., Napoletano, M., Roventini, A., and Fagiolo G. (2016), "Rock Around the Clock: An Agent-Based Model of Low- and High-Frequency Trading", Journal of Evolutionary Economics, 26: 49-76.

23. Mastrorillo, M., Licker, R., Bohra-Mishra, P., Fagiolo, G., Estes, L.D., and Oppenheimer, M. (2016), “The influence of climate variability on internal migration flows in South Africa”, Global Environmental Change, 39: 155-169.

24. Ferraresi, T., Roventini, A. and Fagiolo G. (2015), “Fiscal Policies and Credit Regimes: A TVAR Approach”, Journal of Applied Econometrics, 30: 1047-1072.

25. Fagiolo, G. and Santoni, G. (2015), “Human-Mobility Networks, Country Income, and Labor Productivity”, Network Science, 3: 377-407.

26. Mastrorillo, M. and Fagiolo, G. (2015), “International Migration and School Enrollment of the Left-Behinds in Albania: A Note”, Eastern European Economics, 53: 242-254. 

27. Ascari, G., Fagiolo, G., Roventini, A. (2015), “A Note on Fat Tail Distributions and Business Cycle Models”, Macroeconomic Dynamics, 19: 465-476.

28. Dosi, G. Fagiolo, G, Napoletano, M. Roventini, A. and Treibich, T. (2015), “Fiscal and Monetary Policies in Complex Evolving Economies”, Journal of Economic Dynamics and Control, 52: 166-189.

29. Alatriste Contreras, M.G. and Fagiolo, G. (2014), “Propagation of Economic Shocks in Input-Output Networks: A Cross-Country Analysis, Physical Review E, 90: 062812. Article covered as: “Focus: Heavily Interconnected Economies Are Vulnerable to Shocks” by Tamela Maciel, Physics 7, 130 (2014).

30. Mastrandrea, R., Squartini, T., Fagiolo, G., Garlaschelli, D. (2014), “Reconstructing the world trade multiplex: The role of intensive and extensive biases”, Physical Review E,  90, 062804.

31. Duenas, Marco and Fagiolo, Giorgio (2014), “Global Trade Imbalances: A Network Approach”, Advances in Complex Systems, 17: 1450014 (29 pages).

32. Fagiolo, G. and Mastrorillo, M. (2014) “Does Human Migration Affect International Trade? A Complex-Network Perspective”, PLoS ONE 9(5): e97331.

33. Mastrandrea, R., Squartini, T., Fagiolo, G. and Garlaschelli D. (2014), “Enhanced network reconstruction from irreducible local information”, New Journal of Physics, 16: 043022.

34. Vitali, S., Napoletano, M. and Fagiolo, G. (2013) "Spatial Localization in Manufacturing: A Cross-Country Analysis", Regional Studies, 47:1534-1554. 

35. Fagiolo, G. and Mastrorillo, M. (2013), “International migration network: Topology and modeling”, Physical Review E, 88, 012812.

36. Dosi, G., Fagiolo, G., Napoletano, M. and Roventini, A. (2013), “Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model”, Journal of Economic Dynamics and Control, 37: 1598-1625.

37. Chinazzi, M., Fagiolo, G., Reyes, J. and Schiavo, S. (2013), “Post-Mortem Examination of the International Financial Network”, Journal of Economic Dynamics and Control, 37: 1692-1713.

38. M.D. Gerst, P. Wanga, A. Roventini, G. Fagiolo, G. Dosi, R.B. Howarth, M.E. Borsuk (2013), “Agent-based modeling of climate policy: An introduction to the ENGAGE multi-level model  framework”, Environmental Modeling and Software, 44: 62-75.

39. Duenas, M. and Fagiolo, G. (2013), “Modeling the International-Trade Network: A Gravity Approach”, Journal of Economic Interaction and Coordination, 8: 155-178.

40. Squartini,T., Fagiolo, G. and Garlaschelli, D. (2013), “Null Models of Economic Networks: The Case of the World Trade Web”, Journal of Economic Interaction and Coordination, 8: 75-107.

41. Fagiolo, G. and Roventini, A. (2012), " Macroeconomic policy in DSGE and agent-based models”, Revue de l’OFCE, 124: 67-116. [Get a PDF version]

42. Napoletano, M., Dosi G., Fagiolo, G. and Roventini, A. (2012), “Wage Formation, Investment Behavior and Growth Regimes: An Agent-Based Analysis”, Revue de l’OFCE, 124: 235-262. [Get a PDF version]

43. Fagiolo, G. and Roventini, A. (2012), "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms", Knowledge Engineering Review, 27: 163-185.

44. Barigozzi, M., Alessi, L., Capasso, M. and Fagiolo, G. (2012), "The Distribution of Consumption-Expenditure Budget Shares. Evidence from Italian Households", Structural Change and Economic Dynamics, 23: 69–91. 

45. Squartini,T., Fagiolo, G. and Garlaschelli, D. (2011), “Randomizing World Trade. Part I: A Binary Network Analysis”, Physical Review E, 84, 046117.

46. Squartini,T., Fagiolo, G. and Garlaschelli, D. (2011), “Randomizing World Trade. Part II: A Weighted Network Analysis”, Physical Review E, 84, 046118.

47. Barigozzi, M., Fagiolo, G. and Mangioni, G. (2011), “Identifying the Community Structure of the International-Trade Multi Network”, Physica A, 390: 2051-2066.

48. Dosi, G., Fagiolo, G. and Roventini, A. (2010), "Schumpeter Meeting Keynes: A Policy-Friendly Model of Endogenous Growth and Business Cycles", Journal of Economics Dynamics and Control, 34: 1748–1767.

49. Fagiolo, G., Reyes, J. and Schiavo, S. (2010), "The Evolution of the World Trade Web", Journal of Evolutionary Economics, 20: 479-514.

50. Reyes, J., Schiavo, S. and Fagiolo, G. (2010), "Using Complex Networks Analysis to Assess the Evolution of International Economic Integration: the Cases of East Asia and Latin America, Journal of International Trade and Economic Development, 19: 215-239. 

51. Barigozzi, M., Fagiolo, G. and Garlaschelli, D. (2010), "The Multi-Network of International Trade: A Commodity-Specific Analysis", Physical Review E, 81, 046104.

52. Fagiolo, G. (2010), "The International-Trade Network: Gravity Equations and Topological Properties", Journal of Economic Interaction and Coordination, 5:1-25.

53. Schiavo, S., Reyes, J. and Fagiolo, G. (2010), "International Trade and Financial Integration: A Weighted Network Analysis", Quantitative Finance, 10: 389–399.

54. Fagiolo, G., Alessi, L., Barigozzi, M. and Capasso, M. (2010), "On the distributional properties of household consumption expenditures. The case of Italy", Empirical Economics, 38:717-741.

55. Fagiolo, G., Napoletano, M., Roventini, A. and Piazza, M. (2009), "Detrending and the Distributional Properties of U.S. Output Time Series", Economics Bulletin, 29, 4. 

56. Schweitzer, F., Fagiolo, G., Sornette, D., Vega-Redondo, F., Vespignani, A., White, D.R. (2009), "Economic Networks: The New Challenges", Science, 24 July 2009, Vol. 325, No. 5939, pp. 422-425. 

57. Schweitzer, F., Fagiolo, G., Sornette, D., Vega-Redondo, F., White, D.R. (2009), "Economic Networks: What do we know and what do we need to know?", Advances in Complex Systems, 12:407-4022. 

58. Fagiolo, G. and Roventini, A. (2009), "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms", published in Russian as "O nauchnom statuse economicheskoy politiki: povest' ob al'ternativnykh paradigmakh", Voprosy Economiki, 6:24. 

59. Capasso, M., Alessi, L., Barigozzi, M. and Fagiolo, G. (2009), "On approximating the distributions of goodness-of-fit test statistics based on the empirical distribution function: The case of unknown parameters", Advances in Complex Systems, 12: 157–167. 

60. Fagiolo, G., Reyes, J. and Schiavo, S. (2009), "The World-Trade Web: Topological Properties, Dynamics, and Evolution", Physical Review E, 79, 036115 (19 pages). 

61. Reyes, J., Schiavo, S. and Fagiolo, G. (2008), "Assessing the evolution of international economic integration using random-walk betweenness centrality: The cases of East Asia and Latin America", Advances in Complex Systems, 11: 685–702. 

62. Fagiolo, G., Napoletano, M. and Roventini, A. (2008), "Are Output Growth-Rate Distributions Fat-Tailed? Some Evidence from OECD Countries", Journal of Applied Econometrics, 23: 639-669. 

63. Dosi, G., Fagiolo, G. and Roventini, A. (2008), "The Microfoundations of Business Cycles: An Evolutionary, Multi-Agent Model", Journal of Evolutionary Economics, 18: 413-432. 

64. Bottazzi, G., Dosi, G., Fagiolo, G. and Secchi, A. (2008), "Sectoral and Geographical Specificities in the Spatial Structure of Economic Activities", Structural Change and Economic Dynamics, 19: 189-202. 

65. Fagiolo, G., Reyes, J. and Schiavo, S. (2008), "On the Topological Properties of the World Trade Web: A Weighted Network Analysis", Physica A, 387: 3868–3873. 

66. Bottazzi, G., Dosi, G., Fagiolo, G. and Secchi, A. (2007), "Modeling Industrial Evolution in Geographical Space", Journal of Economic Geography, 7: 651-672. 

67. Fagiolo, G., Valente, M. and Vriend, N. (2007), "Segregation in Networks", Journal of Economic Behavior and Organization, 64: 316-336. 

68. Dosi, G., Fagiolo, G. and Roventini, A. (2007), "Lumpy investment and endogenous business cycles in an evolutionary multi-agent model", Cybernetics and Systems, 38: 631-666. 

69. Fagiolo, G., Moneta, A. and Windrum, P. (2007), "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems", Computational Economics, 30:195-226. 

70. Fagiolo, G. (2007), "Clustering in Complex Directed Networks", Physical Review E, 76: 026107 (8 pages). 

71. Fagiolo, G., Napoletano, M. and Roventini, A. (2007), "How Do Output Growth Rate Distributions Look Like? Some Time-Series Evidence on OECD Countries", European Physical Journal B, 57: 205-211. 

72. Windrum, P., Fagiolo, G. and Moneta, A. (2007), "Empirical Validation of Agent-Based Models: Alternatives and Prospects", Journal of Artificial Societies and Social Simulation, 10, 2, available at: http://jasss.soc.surrey.ac.uk/10/2/8.html . 

73. Fagiolo, G. (2006) "Directed or Undirected? A New Index to Check for Directionality of Relations in Socio-Economic Networks", Economics Bulletin, 3, 34: 1-12. 

74. Fagiolo, G. and Luzzi, A. (2006), "Do Liquidity Constraints Matter in Explaining Firm Size and Growth? Some Preliminary Evidence on the Italian Manufacturing Industry", Industrial and Corporate Change, 15, 1: 1-39. 

75. Dosi, G., Fagiolo, G. and Roventini, A. (2006), "An Evolutionary Model of Endogenous Business Cycles", Computational Economics, 27, 1: 3-34. 

76. Fagiolo, G. (2005), "A Note on Equilibrium Selection in Polya-Urn Coordination Games", Economics Bulletin, 3, 45: 1-14. 

77. Fagiolo, G. and Valente, M. (2005), "Minority Games, Local Interactions, and Endogenous Networks", Computational Economics, 25: 41-57. 

78. Fagiolo, G. (2005), "Endogenous Neighborhood Formation in a Local Coordination Model with Negative Network Externalities", Journal of Economic Dynamics and Control, 29: 297-319. 

79. Fagiolo, G., Marengo, L. and Valente, M. (2004), "Population Learning in a Model with Random Payoff Landscapes and Endogenous Networks", Computational Economics, 24: 383-408. 

80. Fagiolo, G., Marengo, L. and Valente, M. (2004), "Endogenous Networks in Random Population Games", Mathematical Population Studies, 11: 121-147. 

81. Fagiolo, G., Dosi, G. and Gabriele, R. (2004), "Matching, Bargaining, and Wage Setting in an Evolutionary Model of Labor Market and Output Dynamics", Advances in Complex Systems, 14: 237-273. 

82. Fagiolo, G. and Dosi, G. (2003), "Exploitation, Exploration and Innovation in a Model of Endogenous Growth with Locally Interacting Agents", Structural Change and Economic Dynamics, 14: 237-273. 

83. Aversi, R., Dosi, G., Fagiolo, G., Meacci, M. and Olivetti, C. (1999), "Demand Dynamics with Socially Evolving Preferences", Industrial and Corporate Change, 8, 2: 353-408. 

1. Dosi, G., Fagiolo, G. (2023), "Consumer Behaviours", in Dosi, G., The Foundations of Complex Evolving Economies, Part One: Innovation, Organization, and Industrial Dynamics, Oxford University Press, pp. 387-442.

2. Esposito, C., Gortan, M., Testa, L., Chiaromonte, F., Fagiolo, G., Mina, A. and Rossetti, G. (2022) "Can You Always Reap What You Sow? Network and Functional Data Analysis of Venture Capital Investments in Health-Tech Companies". In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M. and Sales-Pardo, M. (eds) Complex Networks & Their Applications X. COMPLEX NETWORKS 2021. Studies in Computational Intelligence, vol 1015. Springer, Cham.

3. Fagiolo G., Guerini M., Lamperti F., Moneta A. and Roventini A. (2019), “Validation of Agent-Based Models in Economics and Finance”. In: Beisbart, C. and Saam, N. (Eds) Computer Simulation Validation. Simulation Foundations, Methods and Applications. Springer, Cham.

4. Fagiolo, G. (2017), “The International Trade Network: Empirics and Modeling”, in Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell (Eds.), The Oxford Handbook of Political Networks, Oxford University Press, Oxford.

5. Fagiolo, G. (2016), “The Empirics of Macroeconomic Networks: A Critical Review”, in P. Commendatore, M. Matilla-García, L. M. Varela and J.S. Cánovas (Eds.), Complex Networks and Nonlinear Dynamics: Social and Economic Interactions, Springer, Berlin.

6. Fagiolo, G. and Mastrorillo, M., “Migration and Trade: A Complex-Network Approach” IEEE Computer Society, 2013 International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Kyoto, Japan, 2-5 Dec. 2013, pp. 538 - 545, DOI: 10.1109/SITIS.2013.90. 

7. Dosi, G., Fagiolo, G., Napoletano, M. and Roventini, A. (2012), “Economic policies with endogenous innovation and Keynesian demand management”, in: Solow, R.M. and Touffut, J.-P. (2012), What’s Right with Macroeconomics, Edward Elgar, Cheltenham, U.K.

8. Fagiolo, G., Reyes, J. and Schiavo, S. (2009), "Dynamics and Evolution of the International Trade Network", in: Fortunato, S., Mangioni, G., Mezenes, R. and Nicosia, V. (Eds.), Complex Networks, Studies in Computational Intelligence, Springer-Verlag Berlin Heidelberg, Vol. 207, pp. 1-14. 

9. Fagiolo, G., Valente, M. and Vriend, N.J. (2008), "A Dynamic Model of Segregation in Small-World Networks", in: Naimzada, A.K., Stefani, S. and Torriero, A. (Eds.), Networks, Topology, and Dynamics. Theory and Applications to Economic and Social Systems, Lecture Notes in Economics and Mathematical Systems, Springer-Verlag Berlin Heidelberg, Vol. 613, pp. 109-124. 

10. Fagiolo, G., Moneta, A. and Windrum, P. (2006), "Confronting Agent-Based Models with Data: Methodological Issues and Open Problems", in Bruun, C. (Ed.), Advances in Artificial Economics. The Economy as a Complex Dynamic System, Lecture Notes in Economics and Mathematical Systems, Springer-Verlag Berlin Heidelberg, Vol. 584, pp. 255-267. 

11. Dosi, G., Fagiolo, G., Roventini, A. (2006), "Lumpy Investment and Endogenous Business Cycles" in Trappl, R. (ed.), Cybernetics and Systems 2006, Vienna, Austrian Society for Cybernetic Studies. 

12. Bottazzi, G., Dosi, G. and Fagiolo, G. (2006), "On Sectoral Specificities in the Geography of Corporate Location", in Breschi, S. and Malerba, F. (Eds.), Clusters, networks and innovation, Oxford, U.K., Oxford University Press. 

13. Pyka, A. and Fagiolo, G. (2005), "Agent-Based Modelling: A Methodology for Neo-Schumpeterian Economics". In: Hanusch, H. and Pyka, A. (Eds.), The Elgar Companion to Neo-Schumpeterian Economics, Edward Elgar, Cheltenham. 

14. Dosi, G., Marengo, L. and Fagiolo, G. (2005), "Learning in Evolutionary Environments", in Dopfer, K. (Ed.), Evolutionary Principles of Economics, Cambridge, Cambridge University Press. 

15. Fagiolo, G., Dosi, G. and Gabriele, R. (2004), "Matching, Bargaining, and Wage Setting in an Evolutionary Model of Labor Market and Output Dynamics", in: Leombruni, R. and Richiardi, M. (Eds.), Industry and Labor Dynamics: The Agent-based Computational Economics Approach, Singapore, World Scientific Press. 

16. Fagiolo, G., Marengo, L. and Valente, M. (2004), "Population Learning in Random Games with Endogenous Network Formation", in Lux, T., Reitz, S.and Samanidou, E. (Eds.), Nonlinear Dynamics and Heterogenous Interacting Agents, Lecture Notes in Economics and Mathematical Systems, Berlin, Springer. 

17. Fagiolo, G., Dosi, G. and Gabriele, R. (2004), "Towards an evolutionary interpretation of aggregate labor market regularities", in: Cantner, U., Dinopoulos, E. and Lanzillotti, R.F. (Eds.), Entrepreneurship, the New Economy and Public Policy: Schumpeterian Perspectives, Berlin - Heidelberg, Springer Verlag. 

18. Bottazzi, G., Dosi, G. and Fagiolo, G. (2001), "On the Ubiquitous Nature of the Agglomeration Economies and their Diverse Determinants: Some Notes", in Quadrio Curzio, A. and Fortis, M. (Eds.), Complexity and Industrial Clusters: Dynamics and Models in Theory and Practice, Heidelberg, Physica-Verlag, 2002, p.167-191. 

19. Dosi, G., Fagiolo, G. and Marengo, L. (2000), "On the dynamics of Cognition and Actions. An Assessment of some Models of Learning and Evolution", in Pagano, U. and Nicita, A. (Eds.), The Evolution of Economic Diversity, Papers and Proceedings of the 10th International School of Economic Research on Evolution and Economics, Siena (Italy), June 27 - July 5, Routledge. 

20. Dosi, G. and Fagiolo, G.. (1998), "Exploring the unknown. On entrepreneurship, coordination and innovation-driven growth", in Lesourne, J. and Orléan, A. (Eds.), Advances in Self-Organizationand Evolutionary Economics, Paris, Economica. Also in: Dosi, G. (2000), Innovation, Organization and Economic Dynamics: Selected Essays, Cheltenham, Edward Elgar Publishing. 

21. Dosi, G., Fagiolo, G., Aversi, R., Meacci, M. and Olivetti, C. (1999), "Cognitive Processes, Social Adaptation and Innovation in Consumption Patterns: from Stylized Facts to Demand Theory", in Dow, S.C and Earl, P.E. (Eds.), Economic Organizations and Economic Knowledge: Essays in Honour of Brian Loasby, Cheltenham, Edward Elgar. 

22. Fagiolo, G. (1998), "Spatial Interactions in Dynamic Decentralised Economies",in Cohendet, P. , Llerena, P., Stahn, H. and Umbhauer, G. (Eds.), The Economics of Networks: Interaction and Behaviours, Berlin - Heidelberg, Springer Verlag. 

1. Dawid, H. and Fagiolo, G. (Eds.), Special Issue on "Agent-Based Models for Economic Policy Design", Journal of Economic Behavior and Organization, 2008, Volume 67, Issue 2. 

2. Fagiolo, G., Birchenhall, C. and Windrum, P. (Eds.), Special Issue on "Empirical Validation in Agent-Based Models", Computational Economics, 2007, Volume 30, Issue 3.