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Information Networks and Knowledge Spillovers: Simulations in an Agent-based Model Framework

In: Institutional and Social Dynamics of Growth and Distribution

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  • Christian Henning
  • Volker Saggau

Abstract

Institutional and Social Dynamics of Growth and Distribution presents a set of original contributions to the much-debated issues of long-run economic growth in relation to institutional and social progress.

Suggested Citation

  • Christian Henning & Volker Saggau, 2010. "Information Networks and Knowledge Spillovers: Simulations in an Agent-based Model Framework," Chapters, in: Neri Salvadori (ed.), Institutional and Social Dynamics of Growth and Distribution, chapter 11, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:13365_11
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    References listed on IDEAS

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    5. Robert J. Barro, 2013. "Inflation and Economic Growth," Annals of Economics and Finance, Society for AEF, vol. 14(1), pages 121-144, May.
    6. Feldman, Maryann P. & Audretsch, David B., 1999. "Innovation in cities:: Science-based diversity, specialization and localized competition," European Economic Review, Elsevier, vol. 43(2), pages 409-429, February.
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    8. Romer, Paul, 1993. "Idea gaps and object gaps in economic development," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 543-573, December.
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    13. Cantner, Uwe & Pyka, Andreas, 1998. "Absorbing Technological Spillovers: Simulations in an Evolutionary Framework," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 7(2), pages 369-397, June.
    14. Richard R. Nelson & Sidney G. Winter, 2002. "Evolutionary Theorizing in Economics," Journal of Economic Perspectives, American Economic Association, vol. 16(2), pages 23-46, Spring.
    15. Guillaume Deffuant & Frederic Amblard & Gérard Weisbuch, 2002. "How Can Extremism Prevail? a Study Based on the Relative Agreement Interaction Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(4), pages 1-1.
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