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History friendly models: retrospective and future perspectives

Author

Listed:
  • Gianluca Capone

    (University of Pisa
    ICRIOS, Bocconi University)

  • Franco Malerba

    (ICRIOS, Bocconi University
    Bocconi University)

  • Richard R. Nelson

    (Columbia University)

  • Luigi Orsenigo

    (ICRIOS, Bocconi University
    Scuola Universitaria Superiore IUSS Pavia
    University of Sussex)

  • Sidney G. Winter

    (University of Pennsylvania)

Abstract

Twenty years ago, we introduced the history friendly modeling approach to formally study industrial dynamics. In this paper, we look retrospectively at the results that the history friendly literature has achieved so far and what are the challenges ahead of us. We present the main principles, methods, and building blocks of the approach, and then we illustrate it through two applications. The first one investigates the impact of entry in the mainframes segment of the computer industry. The second application studies the effect of different industrial policies in uncertain technological environments.

Suggested Citation

  • Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
  • Handle: RePEc:spr:eurasi:v:9:y:2019:i:1:d:10.1007_s40821-019-00121-0
    DOI: 10.1007/s40821-019-00121-0
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    1. Malerba,Franco & Nelson,Richard R. & Orsenigo,Luigi & Winter,Sidney G., 2016. "Innovation and the Evolution of Industries," Cambridge Books, Cambridge University Press, number 9781107641006.
    2. Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
    3. Nelson,Richard R. & Dosi,Giovanni & Helfat,Constance E. & Pyka,Andreas & Saviotti,Pier Paolo & Lee,Keun, 2018. "Modern Evolutionary Economics," Cambridge Books, Cambridge University Press, number 9781108427432.
    4. Enrico Santarelli, 2002. "Is subsidizing entry an optimal policy?," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(1), pages 39-52, February.
    5. G. Fagiolo & C. Birchenhall & P. Windrum, 2007. "Empirical Validation in Agent-based Models: Introduction to the Special Issue," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 189-194, October.
    6. Mario Pianta, 2014. "An industrial policy for Europe," Working Papers 1401, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2014.
    7. Grã„Bner, Claudius, 2016. "Agent-based computational models– a formal heuristic for institutionalist pattern modelling?," Journal of Institutional Economics, Cambridge University Press, vol. 12(1), pages 241-261, March.
    8. Fabrizio Barca & Philip McCann & Andrés Rodríguez‐Pose, 2012. "The Case For Regional Development Intervention: Place‐Based Versus Place‐Neutral Approaches," Journal of Regional Science, Wiley Blackwell, vol. 52(1), pages 134-152, February.
    9. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Dosi, Giovanni & Pereira, Marcelo C. & Roventini, Andrea & Virgillito, Maria Enrica, 2018. "The labour-augmented K+S model: a laboratory for the analysis of institutional and policy regimes," GLO Discussion Paper Series 241, Global Labor Organization (GLO).
    11. Johann Peter Murmann & Thomas Brenner, 2003. "The Use of Simulations in Developing Robust Knowledge about Causal Processes: Methodological Considerations and an Application to Industrial Evolution," Computing in Economics and Finance 2003 66, Society for Computational Economics.
    12. Marcelo Carvalho Pereira & David Dequech, 2015. "A History-Friendly Model of the Internet Access Market: The Case of Brazil," Economic Complexity and Evolution, in: Andreas Pyka & John Foster (ed.), The Evolution of Economic and Innovation Systems, edition 127, pages 579-610, Springer.
    13. Rodrik, Dani, 2004. "Industrial Policy for the Twenty-First Century," CEPR Discussion Papers 4767, C.E.P.R. Discussion Papers.
    14. repec:hal:spmain:info:hdl:2441/5rtilga41c899ab0rctd3cp2r3 is not listed on IDEAS
    15. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    16. Nicola Cortinovis & Jing Xiao & Ron Boschma & Frank G van Oort, 2017. "Quality of government and social capital as drivers of regional diversification in Europe," Journal of Economic Geography, Oxford University Press, vol. 17(6), pages 1179-1208.
    17. Franco Malerba & Richard Nelson & Luigi Orsenigo & Sidney Winter, 2007. "Demand, innovation, and the dynamics of market structure: The role of experimental users and diverse preferences," Journal of Evolutionary Economics, Springer, vol. 17(4), pages 371-399, August.
    18. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers Archive 5075, Iowa State University, Department of Economics.
    19. Roberto Fontana & Lorenzo Zirulia, 2015. "“…then came Cisco, and the rest is history”: a ‘history friendly’ model of the Local Area Networking industry," Journal of Evolutionary Economics, Springer, vol. 25(5), pages 875-899, November.
    20. Boschma, Ron & Capone, Gianluca, 2015. "Institutions and diversification: Related versus unrelated diversification in a varieties of capitalism framework," Research Policy, Elsevier, vol. 44(10), pages 1902-1914.
    21. Hausmann, Ricardo & Rodrik, Dani, 2003. "Economic development as self-discovery," Journal of Development Economics, Elsevier, vol. 72(2), pages 603-633, December.
    22. Malerba, Franco & Nelson, Richard & Orsenigo, Luigi & Winter, Sidney, 2008. "Public policies and changing boundaries of firms in a "history-friendly" model of the co-evolution of the computer and semiconductor industries," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 355-380, August.
    23. Christian Garavaglia & Franco Malerba & Luigi Orsenigo & Michele Pezzoni, 2013. "A Simulation Model of the Evolution of the Pharmaceutical Industry: A History-Friendly Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(4), pages 1-5.
    24. Mazzucato,Mariana & Dosi,Giovanni (ed.), 2006. "Knowledge Accumulation and Industry Evolution," Cambridge Books, Cambridge University Press, number 9780521858229.
    25. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    26. Malerba, Franco & Nelson, Richard & Orsenigo, Luigi & Winter, Sidney, 2001. "Competition and industrial policies in a 'history friendly' model of the evolution of the computer industry," International Journal of Industrial Organization, Elsevier, vol. 19(5), pages 635-664, April.
    27. Landini, Fabio & Lee, Keun & Malerba, Franco, 2017. "A history-friendly model of the successive changes in industrial leadership and the catch-up by latecomers," Research Policy, Elsevier, vol. 46(2), pages 431-446.
    28. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    29. Malerba, Franco & Orsenigo, Luigi, 2010. "User-producer relations, innovation and the evolution of market structures under alternative contractual regimes," Structural Change and Economic Dynamics, Elsevier, vol. 21(1), pages 26-40, March.
    30. Dawid, Herbert, 2006. "Agent-based Models of Innovation and Technological Change," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 25, pages 1235-1272, Elsevier.
    31. Daniel A. Levinthal, 1997. "Adaptation on Rugged Landscapes," Management Science, INFORMS, vol. 43(7), pages 934-950, July.
    32. Mowery,David C. & Nelson,Richard R. (ed.), 1999. "Sources of Industrial Leadership," Cambridge Books, Cambridge University Press, number 9780521645201.
    33. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    34. Pierre-Alexandre Balland & Ron Boschma & Joan Crespo & David L. Rigby, 2019. "Smart specialization policy in the European Union: relatedness, knowledge complexity and regional diversification," Regional Studies, Taylor & Francis Journals, vol. 53(9), pages 1252-1268, September.
    35. Grazzini, Jakob & Richiardi, Matteo, 2015. "Estimation of ergodic agent-based models by simulated minimum distance," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 148-165.
    36. Malerba, Franco, et al, 1999. "'History-Friendly' Models of Industry Evolution: The Computer Industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 8(1), pages 3-40, March.
    37. Steven Klepper, 2016. "Experimental Capitalism: The Nanoeconomics of American High-Tech Industries," Economics Books, Princeton University Press, edition 1, number 10614 edited by Serguey Braguinsky & David A. Hounshell & John H. Miller.
    38. Franco Malerba & Richard Nelson & Luigi Orsenigo & Sidney Winter, 2008. "Vertical integration and disintegration of computer firms: a history-friendly model of the coevolution of the computer and semiconductor industries," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(2), pages 197-231, April.
    39. Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
    40. Malerba, Franco, 2002. "Sectoral systems of innovation and production," Research Policy, Elsevier, vol. 31(2), pages 247-264, February.
    41. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    42. R. Fontana & L. Zirulia, 2015. "then came Cisco, and the rest is history : a history friendly model of the Local Area Networking industry," Working Papers wp993, Dipartimento Scienze Economiche, Universita' di Bologna.
    43. T. Brenner & P. Murmann, 2003. "The Use of Simulations in Developing," Papers on Economics and Evolution 2003-03, Philipps University Marburg, Department of Geography.
    44. repec:hal:spmain:info:hdl:2441/13thfd12aa8rmplfudlgvgahff is not listed on IDEAS
    45. Andreas Pyka & John Foster (ed.), 2015. "The Evolution of Economic and Innovation Systems," Economic Complexity and Evolution, Springer, edition 127, number 978-3-319-13299-0, June.
    46. Li, Daitian & Capone, Gianluca & Malerba, Franco, 2019. "The long march to catch-up: A history-friendly model of China’s mobile communications industry," Research Policy, Elsevier, vol. 48(3), pages 649-664.
    47. Lee,Keun, 2013. "Schumpeterian Analysis of Economic Catch-up," Cambridge Books, Cambridge University Press, number 9781107042681.
    48. Fabio Landini & Franco Malerba, 2017. "Public policy and catching up by developing countries in global industries: a simulation model," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 41(3), pages 927-960.
    49. Franco Malerba & Luigi Orsenigo, 2002. "Innovation and market structure in the dynamics of the pharmaceutical industry and biotechnology: towards a history-friendly model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(4), pages 667-703, August.
    50. Mariana Mazzucato & Mario Cimoli & Giovanni Dosi & Joseph Stiglitz & Michael Landesmann & Mario Pianta & Rainer Walz & Tim Page, 2015. "Which Industrial Policy Does Europe Need?," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 50(3), pages 120-155, May.
    51. Garavaglia, Christian, 2010. "Modelling industrial dynamics with "History-friendly" simulations," Structural Change and Economic Dynamics, Elsevier, vol. 21(4), pages 258-275, November.
    52. Chang-Wook Kim & Keun Lee, 2003. "Innovation, technological regimes and organizational selection in industry evolution: a 'history friendly model' of the DRAM industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 12(6), pages 1195-1221, December.
    53. Steven Klepper, 2002. "The capabilities of new firms and the evolution of the US automobile industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(4), pages 645-666, August.
    54. Thomas Brenner & Johann Peter Murmann, 2016. "Using simulation experiments to test historical explanations: the development of the German dye industry 1857-1913," Journal of Evolutionary Economics, Springer, vol. 26(4), pages 907-932, October.
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