(October 15th to 19th, 2007)

Coordinators:

• Giorgio FAGIOLO, Scuola Superiore S. Anna, Pisa, Italy, fagiolo@sssup.it
• Koen FRENKEN, URU, Utrecht University, k.frenken@geo.uu.nl

Outline of the week:
The second week of the Maastricht session provides students with an introduction into evolutionary models and computational tools. The lectures offer an overview of the main modelling approaches as well as their empirical applications. Special emphasis will be on methodological aspects.

Lecturers

• Robin COWAN (BETA, University Louis Pasteur - UNU-MERIT, Maastricht University)
• Giorgio FAGIOLO (Sant'Anna of Advanced Studies, Pisa)
• Koen FRENKEN (Utrecht University)
• Andreas PYKA (Bremen University)
• Maïder SAINT-JEAN (Bordeaux University)
• Angelo SECCHI (Sant'Anna of Advanced Studies, Pisa)
• Gerald SILVERBERG (UNU-MERIT, Maastricht University)
• Marco VALENTE (University of L'Aquila)
• Bart VERSPAGEN (ECIS, Eindhoven Technical University)
• Paul WINDRUM (Manchester Metropolitan University Business School)

Programme

Monday, October 15th

• 9.00 - 9.30 : Koen FRENKEN
  Welcome and practicalities
• 9.30 - 11.00 : Gerald SILVERBERG
  Lecture 1: Nonlinear dynamics and evolutionary economics
• 11.15 - 12.15 : PhD presentation n°1: Lise ARENA ; junior discussant : Marco CAPASSO; senior discussant: Koen FRENKEN
• 13.30 - 15.00 : Gerald SILVERBERG
  Lecture 2: Percolation models
• 15.15 - 18.00 : Marco VALENTE
  Lecture 3: Introduction to LSD

Tuesday, October 16th

• 9.00 - 11.00 : Robin COWAN
  Lecture 4: Competing technologies
• 11.15 - 12.15 : PhD presentation n°2: Cristina LINCARU; junior discussant: Sanna Kaisa SEPPÄNNEN; senior discussant: Gerald SILVERBERG
• 13.30 - 15.00 : Robin COWAN
  Lecture 5: Counterfactuals and the problem of empirical analysis of path dependent systems
• 15.15 - 16.15 : PhD presentation n°3: Zakaria BABUTSIDZE; junior discussant: Lise ARENA; senior discussant: Marco VALENTE
• 16.30 - 18.00 : Koen FRENKEN
  Lecture 6: NK-models

Wednesday, October 17th

• 9.00 - 11.00 : Angelo SECCHI
  Lecture 7: Stochastic models of firm growth
• 11.15 - 12.15 : PhD presentation n°4: Yuriy MOYSEYENKO; junior discussant: Minho YOON; senior discussant: Robin COWAN
• 13.30 - 15.00 : Andreas PYKA
  Lecture 8: Variety and economic development
• 15.15 - 16.15 : PhD presentation n°5: Allan DAHL ANDERSEN ; junior discussant : tbd ; senior discussant: Angelo SECCHI
• 16.30 - 18.00 : Bart VERSPAGEN
  Lecture 9: Mapping technological trajectories using network techniques

Thursday, October 18th

• 9.00 - 11.00 : Giorgio FAGIOLO
  Lecture 10: An introduction to the statistical analysis of agent-based models
• 11.15 - 12.15 : PhD presentation n°6: Luisa FERREIRA LOPES ; junior discussant : Mikko POHJOLA ; senior discussant: Andreas PYKA
• 13.30 - 15.00 : Giorgio FAGIOLO
  Lecture 11: Exploration and exploitation in an evolutionary growth model
• 15.15 - 16.15 : PhD presentation n°7: Minho YOON; junior discussant: Zakaria BABUTSIDZE; senior discussant: Paul WINDRUM
• 16.30 - 18.00 : Paul WINDRUM
  Lecture 12: Neo-Schumpeterian simulation models and history-friendly modelling

Friday, October 19th

• 9.00 - 11.00 : Maïder SAINT-JEAN
  Lecture 13: Co-evolution of supply and demand: the case of environmental
  innovation
• 11.15 - 12.15 : PhD presentation n°8: Sjoerd HARDEMAN; junior discussant : tbd ; senior discussant: Maïder SAINT JEAN
• 13.30 - 15.00 : All
  Evaluation meeting

Readings

Lecture 1: Nonlinear dynamics and evolutionary economics

• Silverberg, G. and Lehnert, D., 1996, "'Evolutionary Chaos': Growth Fluctuations in a Schumpeterian Model of Creative Destruction", in W. Barnett, A. Kirman and M. Salmon, (eds), Nonlinear Dynamics in Economics, Cambridge: Cambridge University Press.
• Silverberg, G. and Verspagen, B., 1996, "From the Artificial to the Endogenous: Modelling Evolutionary Adaptation and Economic Growth", in E. Helmstädter and M. Perlman, (eds), 1996, Behavorial Norms, Technological Progress and Economic Dynamics: Studies in Schumpeterian Economics, Ann Arbor, MI: University of Michigan Press.

Lecture 2: Percolation models

• Silverberg, G., 2002, "The Discrete Charm of the Bourgeoisie: Quantum and Continuous Perspectives on Innovation and Growth", Research Policy, 31: 1275-1289.
• Silverberg, G. and Verspagen, B., 2003, "Brewing the future: Stylized facts about innovation and their confrontation with a percolation model", ECIS Working Paper, Eindhoven, www.tm.tue.nl/ecis/Working%20Papers/eciswp80.pdf.
• Silverberg, G. and Verspagen, B., 2007, "Self-organization of R&D search in complex technology spaces", Journal of Economic Interaction and Coordination, Sept. 2007.

Lecture 3: Introduction in LSD

• http://www.business.aau.dk/~mv/Lsd/lsd.html

Lecture 4: Competing technologies

• Arthur, W.B. (1989) Competing Technologies, Increasing Returns, and Lock-In by Historical Events. The Economic Journal, 99 (394): 116-131.
• Bikhchandani S., Hirshleifer D., Welch I. (1992) A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5): 992ˆ1026.

Lecture 5: Counterfactuals

• Cowan, R., Foray, D. (2002) Evolutionary Economics and the Counterfactual Threat: On the nature and role of counterfactual history as an empirical tool in economics, Journal of Evolutionary Economics, 12: 539-562.

Lecture 6: NK-models

• Frenken, K., (2006) Technological innovation and complexity
  theory, Economics of Innovation and New Technology, 15(2): 137-155.
• Frenken, K., Schwoon, M., Alkemade, F., Hekkert, M. (2007) A
  complex systems methodology to transition management, Paper presented at
  the DRUID Summer Conference, Copenhagen, Denmark, download at:
  http://www2.druid.dk/conferences/viewpaper.php?id=1423&cf=9

Lecture 7: Stochastic models of firm growth

• Sutton, J. (1998) Technology and the Market Structure, Chapter 10.
• Bottazzi, G. and A. Secchi, (2007) "Explaining the Distribution
  of Firms Growth Rates", RAND Journal of Economics, 37, 235-256.

Lecture 8: Variety and economic development

• Saviotti,P., Pyka, A. (2004), Economic Development by the Creation of new Sectors, Journal of Evolutionary Economics, 14(1): 1-36.
• Saviotti,P., Pyka, A. (2004), Economic Development, Qualitative Change and Employment Creation, Structural Change and Economic Dynamics, 15(3): 265-287.

Lecture 9: Mapping technological trajectories using network techniques

• Dosi, G. (1982) Technological paradigms and technological
  trajectories. A suggested interpretation of the determinant and direction
  of technological change. Research Policy 11, 147ˆ162.
• Verspagen, B. (2007) Mapping Technological Trajectories as Patent
  Citation Networks: a Study on the History of Fuel Cell Research, Advances
  in Complex Systems, vol. 10, pp. 93-115.

Lecture 10: An introduction to the statistical analysis of agent-based models

• 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.
• 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.

Lecture 11: Exploration and exploitation in an evolutionary growth model

• 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

Lecture 12: Neo-Schumpeterian simulation models and history-friendly modelling

• Malerba, F., Nelson, R.R., Orsenigo, L. Winter, S.G. (1999) History friendly models of industry evolution: the computer industry, Industrial and Corporate Change, 8(1): 3-41.
• Windrum, P. (2004) Neo-Schumpeterian simulation models, In: Hanusch, H. and Pyka, A. (Eds.), The Elgar Companion to Neo-Schumpeterian Economics, Edward Elgar, Cheltenham, available at
  http://edocs.ub.unimaas.nl/loader/file.asp?id=856

Lecture 13: Co-evolution of supply and demand: the case of environmental
innovation

• Saint Jean M., 2005, Coevolution of suppliers and users through
  an evolutionary modelling ˆ The case of environmental innovations,
  European Journal of Economic and Social Systems, Vol. 18, n°2, pp.
  255-284.
• Schwoon, M., 2006, Simulating the adoption of fuel cell vehicles,
  Journal of Evolutionary Economics, Vol. 16, Issue 4, p.435-472.