Reference list for the MoMa project

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  19. Grazzini J, Richiardi M (2015). Consistent Estimation of Agent-Based Models by Simulated Minimum Distance. Journal of Economic Dynamics & Control 51: 148-165
  20. Richiardi M, Poggi A. (2014). Imputing Individual Effects in Dynamic Microsimulation Models. An application to household formation and labour market participation in Italy. International Journal of Microsimulation 7(2): 3-39
  21. Neugart M, Richiardi M (2013). Sequential Teamwork in Competitive Environments: Theory and Evidence from Swimming Data.  European Economic Review 63(C): 186-205
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  24. Leombruni R, Richiardi M, Saam NJ, Sonnessa M (2006). A Common Protocol for Agent-Based Social Simulation. Journal of Artificial Societies and Social Simulations 9(1): art.15 
  25. Leombruni R, Richiardi M (2006). LABORsim: An Agent-Based Microsimulation of Labour Supply. An application to Italy. Computational Economics 27(1): 63-88.
  26. Richiardi M (2006). Toward a Non-Equilibrium Unemployment Theory. Computational Economics 27(1): 135-160.
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  28. Berton F, Richiardi M, Sacchi S (2012). The political economy of work security and flexibility: Italy in comparative perspective. Policy Press, Bristol.
  29. Berton F, Richiardi M, Sacchi S (2009). Flex-insecurity. Perché in Italia la flessibilità diventa precarietà. Il Mulino, Studi e Ricerche, Bologna. 
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  43. Dawid H, Neugart M (2015). Agent-Based Macroeconomic Modeling and Policy Analysis: The Eurace@Unibi Model. In: Chen S.-H, Kaboudan M (eds.). Handbook on Computational Economics and Finance, Oxford University Press, Oxford.
  44. De Grauwe P, Markiewicz A (2013). Learning to forecast the exchange rate: Two competing approaches. Journal of International Money and Finance 32: 42–76.
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  46. Delli Gatti D, Gallegati M, Greenwald B, Russo A, Stiglitz JE (2010). The financial accelerator in an evolving credit network. Journal of Economic Dynamics and Control 34(9): 1627-1650.
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  56. Grazzini J, Richiardi M, Tsionas (2015). Partial Identification of Non-Ergodic AB Models. Submitted.
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  64. Li H, Tesfatsion L (2012). Co-learning patterns as emergent market phenomena: An electricity market illustration. Journal of Economic Behavior & Organization 82: 395–419.
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  71. Richiardi M (2012). Agent-based Computational Economics. A Short Introduction. The Knowledge Engineering Review 27(S2): 137-149.
  72. Richiardi M (2013). The missing link: AB models and dynamic microsimulation. In: Leitner S, Wall F. (eds). Artificial Economics and Self Organization.  Springer, Berlin.
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  76. Teglio A, Raberto M, Cincotti S (2012). The Impact Of Banks' Capital Adequacy Regulation On The Economic System: An Agent-Based Approach. Advances in Complex Systems 15(supp02): 1250040.
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  81. Weisbuch G, Battiston S (2007). From production networks to geographical economies. Journal of Economic Behaviour & Organization 64(3-4): 448-469.
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  83. Richiardi M, Richardson RE (2015a). JAS-mine: A new Java platform for agent-based and microsimulation modelling. Institute for New Economic Thinking, mimeo.
  84. Richiardi M, Richardson RE (2015b). Dynamic microsimulation using JAS-mine: A comparison with LIAM2. Institute for New Economic Thinking, mimeo.
  85. Richiardi M, Richardson  RE  (2016). Agent-based Computational Demography and Microsimulation using JAS-mine. In: Grow A, van Bavel J. Agent-Based Modeling in Population Studies, Springer, Berlin. 
  86. Richiardi M, Poggi A, Paccagnini A, Richardson RE (2016). Female labour force projections using microsimulation for six EU  countries. Technical report included in: Eurofound. The gender employment gap: Challenges and solutions. Eurofund, Dublin. 
  87. Wolfson M, Dutchyn C, Gribble S, Osgood N, Richardson RE, Richiardi M, Sullivan T (2015). Dynamic microsimulation  software toolkits: A comparison of ModGen, RePast, Mason, Scala and JAS-mine. University of Ottawa, mimeo.
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